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  <front>
    <journal-meta><journal-id journal-id-type="publisher">GC</journal-id><journal-title-group>
    <journal-title>Geoscience Communication</journal-title>
    <abbrev-journal-title abbrev-type="publisher">GC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Geosci. Commun.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2569-7110</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/gc-5-363-2022</article-id><title-group><article-title>Exploring TikTok as a promising platform for <?xmltex \hack{\break}?>geoscience communication</article-title><alt-title>Exploring TikTok as a promising platform for geoscience communication</alt-title>
      </title-group><?xmltex \runningtitle{Exploring TikTok as a promising platform for geoscience communication}?><?xmltex \runningauthor{E. E. Zawacki et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Zawacki</surname><given-names>Emily E.</given-names></name>
          <email>eezawack@asu.edu</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Bohon</surname><given-names>Wendy</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Johnson</surname><given-names>Scott</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Charlevoix</surname><given-names>Donna J.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Earth and Space Exploration, Arizona State University,
Tempe, AZ 85287, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Incorporated Research Institutions for Seismology, Washington,
DC 20005, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>UNAVCO, Boulder, CO 80301, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Emily E. Zawacki (eezawack@asu.edu)</corresp></author-notes><pub-date><day>23</day><month>November</month><year>2022</year></pub-date>
      
      <volume>5</volume>
      <issue>4</issue>
      <fpage>363</fpage><lpage>380</lpage>
      <history>
        <date date-type="received"><day>15</day><month>June</month><year>2022</year></date>
           <date date-type="rev-request"><day>22</day><month>June</month><year>2022</year></date>
           <date date-type="rev-recd"><day>27</day><month>October</month><year>2022</year></date>
           <date date-type="accepted"><day>3</day><month>November</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 </copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://gc.copernicus.org/articles/.html">This article is available from https://gc.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://gc.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://gc.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e125">With TikTok emerging as one of the most popular social media
platforms, there is significant potential for science communicators to
capitalize on this success and to share their science with a broad, engaged
audience. While videos of chemistry and physics experiments are prominent
among educational science content on TikTok, videos related to the
geosciences are comparatively lacking, as is an analysis of what types of
geoscience videos perform well on TikTok. To increase the visibility of the
geosciences and geophysics on TikTok and to determine best strategies for
geoscience communication on the app, we created a TikTok account called
“Terra Explore” (@TerraExplore). The Terra Explore account is a joint
effort between science communication specialists at UNAVCO, IRIS
(Incorporated Research Institutions for Seismology), and OpenTopography. We
produced 48 educational geoscience videos over a 4-month period between
October 2021 and February 2022. We evaluated the performance of each video
based on its reach, engagement, and average view duration to determine the
qualities of a successful video. Our video topics primarily focused on
seismology, earthquakes, topography, lidar (light detection and ranging),
and GPS (Global Positioning System), in alignment with our organizational
missions. Over this time period, our videos garnered over 2 million total
views, and our account gained over 12 000 followers. The videos that
received the most views received nearly all (<inline-formula><mml:math id="M1" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 97 %) of
their views from the <italic>For You</italic> page, TikTok's algorithmic recommendation feed. We
found that short videos (<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 30 s) had a high average view duration,
but longer videos (<inline-formula><mml:math id="M3" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 60 s) had the highest engagement rates.
Lecture-style videos that were approximately 60 s in length had more
success in both reach and engagement. Our videos that received the highest
number of views featured content that was related to a recent newsworthy
event (e.g., an earthquake) or that explained location-based geology of a
recognizable area. Our results highlight the algorithm-driven nature of
TikTok, which results in a low barrier to entry and success for new science
communication creators.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e161">Given the current popularity and ubiquity of various social media platforms,
scientists have a unique opportunity to directly interface with a diverse
public audience. Not only can scientists use social media to improve the
public perception of science, but they can also work to combat the growing
tide of scientific misunderstanding and misinformation (Hilary and Dumebi,
2021; Shu et al., 2020). Over the last decade, scientists have found success using social media, especially Twitter, to share scientific discoveries
(Côté and Darling, 2018; Schmitt and Jäschke, 2017; Smith,
2015) and to affect social change (Jahng and Lee, 2018). However, the social
media landscape is frequently changing, and scientists must adapt to new
changes and trends to effectively reach an audience.</p>
      <p id="d1e164">Over the past two years, TikTok has dominated the social media landscape and
currently boasts over 1 billion monthly active users (TikTok, 2021a). On
TikTok, users create and interact with short-form video content
(<inline-formula><mml:math id="M4" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 15 s to 3 min). TikTok is especially popular
among a younger demographic, with 25 % of users in the US being under
the age of 19 (Statista Research Department, 2022a). With the growing popularity of TikTok among users of all ages, TikTok presents an excellent opportunity to strategically
examine how scientists can use social media to broaden their reach and to
create a more scientifically literate public. On TikTok, science
communication is highly personalized, as science practitioners are presented in an approachable and relatable way (Zeng et al., 2020).</p>
      <p id="d1e174">Of the STEM (science, technology, engineering, and mathematics) disciplines, the geosciences are especially relatable; essentially, everyone has personal
experience with geoscience-related information in their daily lives.
Effective communication of geoscience topics is important, because the
geosciences are intrinsically linked to the human and natural world, and it
is beneficial for everyone in society to understand the basics of
geoscience. Increased awareness and understanding of geohazards like
earthquakes, landslides, floods, and global climate change can help to
improve personal safety and to increase support for public policy.
Additionally, geohazards are often the subject of considerable
misinformation – persistent rumors that Yellowstone is about to
catastrophically erupt serves as a frequent example – so providing
high-quality, scientifically accurate information is especially important.</p>
      <p id="d1e177">Recognizing the substantial potential for geoscience communication on
TikTok, we created a TikTok account called “Terra Explore” (@TerraExplore) to share educational geoscience and geophysics videos. With these videos, we
sought to not only enhance the visibility of geoscience and geophysics on
TikTok but also to assess the best strategies for science communication on
the platform and to evaluate what factors may impact how well a video performs
on the app. We analyzed the reach (how many individuals saw the video), the
engagement (the number of interactions with the content, e.g., “likes” or
“comments”), and the average view duration of each video we posted to
determine the qualities of a successful educational geoscience TikTok video. The longer that someone watches a video and the more engagement the video
receives demonstrates interest in the video and the impact of the science
communication, which will likely be rewarded within the algorithm with
expanded video reach. Through this work, we are able to determine the
factors of a video that help to maximize the reach and potential for geoscience communication on TikTok.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Basics of TikTok</title>
      <p id="d1e188">TikTok is a short-form video app that allows users to create videos using
music, filters, text, and camera effects on their mobile phones. The app is
free to download on Apple and Google Play stores. While TikTok videos were
originally all less than a minute long, TikTok increased the upper limit to
3 min during the late summer of 2021 (Kirchhoff, 2021). There is now
also the limited ability to upload a single 10 min video file from your
device to TikTok. The COVID-19 global pandemic served as a catalyst for the
growth and success of TikTok among different demographics (Feldkamp, 2021).
During the first quarter of 2020, TikTok had more than 315 million installs
across the Apple and Google Play app stores, which was the most downloads
ever for an app in a single quarter (Briskman, 2020). This was a significant
increase from the 219 million installs during the fourth quarter of 2019
(Statista Research Department, 2022b). During the first quarter of 2022, TikTok was the most
downloaded app worldwide (Sensor Tower, 2022).</p>
      <p id="d1e191">TikTok provides two primary feeds on which a user can watch content:
<italic>Following</italic> and <italic>For You</italic>. Upon opening the app, videos immediately begin playing on the <italic>For You</italic> page.
Users can toggle between the two feeds at the top of the screen. TikTok uses AI algorithmic recommendations to determine what videos are shown on a
user's <italic>For You</italic> page – these videos are often based on the user's profile settings, their location, and their activity on the app (Smith, 2021). In order to help
users discover new content categories and creators as well as to avoid a
repetitive experience, TikTok also provides diverse recommendations on the
<italic>For You</italic> page (TikTok, 2020). The <italic>For You</italic> page is notable and unique amongst social media
feeds, as videos with extremely few views (<inline-formula><mml:math id="M5" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 10 views) can be
recommended, thus guaranteeing a potential audience for every post
regardless of the number of account followers. Based on TikTok's internal
data, 69 % of a user's time on the app is spent on the <italic>For You</italic> page (Stokel-Walker, 2020), making it the primary way users view and discover new content. Only videos from accounts that someone follows are shown on the
<italic>Following</italic> feed, although these videos may also be shown on the <italic>For You</italic> page. Additionally, videos can be viewed on a creator's profile page or by searching video
hashtags or sounds. While TikTok does not publicly disclose any information
regarding how their AI recommendation algorithm functions, independent data
analysis of trending videos on TikTok found that a higher level of video
engagement through likes, comments, and shares leads to a higher chance of
the algorithm showing the video to more people via the <italic>For You</italic> page (Klug et al., 2021).</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Educational landscape on TikTok</title>
      <p id="d1e240">Despite the common perception that TikTok is a “dance app” for kids, there is an abundance of educational content on the app that is widely consumed.
Research shows that youths agree that TikTok serves as a window for online
learning and aids in educational development (Azman et al., 2021). This
positive educational potential led TikTok to be integrated into various
aspects of instruction in higher education (Draganić et al., 2021;
Escamilla-Fajardo et al., 2021; Radin and Light, 2022). In addition, studies
show that TikTok allows non-expert users to participate in scientific
discussions – such as those related to climate change – that oftentimes only take place among expert-level scientists and journalists (Basch et al.,
2022; Hautea et al., 2021).</p>
      <p id="d1e243">The TikTok leadership has also worked to strengthen and promote educational
content on the app. In May of 2020, TikTok launched their
“#LearnOnTikTok” campaign, where they partnered with 800 public
figures, educational institutions, and professional experts to bring
learning material to TikTok (Thoensen, 2020). These partnerships included
notable science communicators such as Bill Nye and Neil deGrasse Tyson.
While the campaign partnered with specific creators, anyone on TikTok can
create videos and use the #LearnOnTikTok hashtag. As of February 2022,
videos using the “LearnOnTikTok” hashtag have a collective 240.4 billion
views. The success of the #LearnOnTikTok campaign demonstrates the desire for consumption of educational material on the platform and provides an
ideal opportunity for science communicators to capitalize on a platform with a large user base. By leveraging this already well-known and popular
hashtag, geoscientists can promote their content to a receptive audience,
potentially increasing knowledge of and interest in geoscience topics.</p>
      <p id="d1e246">The manner in which science content is presented on TikTok – lecture style
vs. demonstration – influences user engagement. Habibi and Salim (2021)
evaluated the engagement of lecture-style and experimental educational
science videos from one account on TikTok, largely related to biology, and
found that scientific experiments presented in dynamic ways received the
most engagement. Hayes et al. (2020) observed that TikTok videos of at-home
chemistry experiments can increase knowledge of and interest in chemistry
for viewers. In addition to videos showing chemistry experiments, Hight et
al. (2021) found that students enjoyed creating and consuming content on
TikTok that featured anthropomorphized chemistry concepts. Based on an
analysis of memetic science content on TikTok, Zeng et al. (2020) found that the presence of science on TikTok is dominated by chemistry and physics
experiments.</p>
      <p id="d1e249">Thus far, the geosciences have been excluded from evaluations of science
content and science communication on TikTok. Much of geoscience-related
content on TikTok is created by young individuals who have recently or are
currently completing undergraduate or graduate degrees in the geosciences.
Videos typically feature geology-related “memes” or jokes, showing what's
inside a rock when you break it open, or explanations of geoscience topics.
Content related to geology and geophysics on TikTok has significantly fewer
views than content related to physics, biology, and chemistry (Table 1).
Unlike chemistry and physics, the geosciences do not as easily lend
themselves to at-home experiment-based content, but the geosciences do allow for unique,
hands-on demonstrations as well as the potential for “field trip”-style
presentations. Additionally, geoscience is a discipline that every person
has had some level of interaction with (soil, geohazards, GPS on their
phone, etc.). Our aim was to not only enhance the visibility of geoscience
and geophysics content on TikTok but also to determine and evaluate the best strategies for geoscience communication on TikTok.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e256">Number of total video views on TikTok for different science-related hashtags as of October 2021, before our project began. Within the app,
TikTok denotes the total number of video views per hashtag.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Hashtag</oasis:entry>
         <oasis:entry colname="col2">View count</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">#physics</oasis:entry>
         <oasis:entry colname="col2">3.3 billion</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">#biology</oasis:entry>
         <oasis:entry colname="col2">3.2 billion</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">#chemistry</oasis:entry>
         <oasis:entry colname="col2">3.0 billion</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">#geology</oasis:entry>
         <oasis:entry colname="col2">617.6 million</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">#geophysics</oasis:entry>
         <oasis:entry colname="col2">2.7 million</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Account and video creation</title>
      <p id="d1e336">In October 2021, we created an account called “Terra Explore” to evaluate the
potential of TikTok for geoscience communication (Fig. 1a). Between
8 October 2021 and 6 February 2022, we published 48 videos. The “Terra Explore” name
is a nod to the many ways scientists explore Earth (Terra) using geoscience
tools and techniques. The Terra Explore account is a joint effort led by
science communication specialists from UNAVCO, IRIS (Incorporated Research
Institutions for Seismology), and OpenTopography. UNAVCO and IRIS are
non-profit, university-governed consortiums that operate the GAGE and SAGE
facilities (respectively) on behalf of the National Science Foundation
(NSF), serving the geophysics community. OpenTopography is co-managed by the San Diego Supercomputer Center at the University of California San Diego,
UNAVCO, and Arizona State University and facilitates community access to
high-resolution, Earth-science-oriented topography data and related tools
and resources, also on behalf of NSF.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e341"><bold>(a)</bold> Representative screenshot of the Terra Explore account. Our profile page has a Linktree that provides external links to the UNAVCO,
IRIS, and OpenTopography websites. <bold>(b)</bold> Screenshot of typical video using the “green screen” effect. <bold>(c)</bold> Example screenshot of a GMV video.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f01.jpg"/>

      </fig>

      <p id="d1e358">Our primary aim with the Terra Explore account was to determine the best
strategies for geoscience communication on TikTok and to increase the presence
of geoscience and geophysics content, ideally targeting users aged
19 and under as well as female users. Our videos featured three rotating,
front-facing hosts and were typically done in a “lecture-style” format,
where the host talks directly to the audience, explaining a geoscience topic
while using engaging background visuals. Two of the hosts are female and
presented the majority of the videos, and one is male. We primarily used
TikTok's “green screen” feature, in
addition to image and text overlays, to add visual imagery to videos (Fig. 1b). TikToks were filmed in
individual home offices using simple equipment such as iPhone or Android
devices, small lights, and low-cost lavalier microphones. We used TikTok's
built-in captioning feature to provide captions on all of our videos to
increase their accessibility.</p>
      <p id="d1e362"><?xmltex \hack{\newpage}?>We largely produced content related to our organizations' missions. Video
topics primarily focused on seismology, earthquakes, topography, lidar
(light detection and ranging), and GPS (Global Positioning System). We often used and incorporated existing educational graphics and animations produced
by IRIS and UNAVCO. The videos we produced ranged between 9 s and 2 min 30 s in duration, with an average video duration of 57 s. Each video post contained a short description and approximately
five relevant hashtags. Due to staff time limitations, we did not set a
specific video posting schedule but averaged between one to four videos
posted per week, with the most videos posted during the first 2 months of
the project. A number of videos were cross-posted and promoted on UNAVCO,
IRIS, and OpenTopography's other social media accounts.</p>
      <p id="d1e366">Our video content largely did not include TikTok “memes” or sounds.
“Memes” are among the most common videos on TikTok and use viral audio
clips that are transformed and applied to different visual imagery,
capitalizing on popular culture or shared experiences. Given the educational aspect of our videos, we chose to follow a more traditional video format,
where the video host speaks directly to the audience as a teacher would to a classroom.</p>
      <p id="d1e369">The most common type of video we produced presented ground motion
visualizations (GMVs) for notable earthquakes of magnitude 6 or higher (Fig. 1c). These GMV animations were already being produced by IRIS and
disseminated through other social media channels. On the Terra Explore
TikTok, the front-facing video host explains what is shown in the animation: earthquake waves pass across seismic stations in North America, and we can
see a representation of the ground moving up and down (although the movements
are too small to feel). Videos were timely in that they were typically
posted the day of or the day after the earthquake occurred. As the content
and style of these GMV videos were largely identical, they provided a way to more clearly evaluate specific factors that may affect a video's
performance.</p>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Methods</title>
      <p id="d1e381">We used TikTok's built-in account analytics to download and record video and account metrics for the period between 8 October 2021 and 6 February 2022 to evaluate the performance of each video and to analyze what factors may impact the success of a video. With our analyses, we largely sought to evaluate the
features of geoscience content that users watch the most and engage with the most on TikTok as well as to establish  what may impact the performance of a video within
the algorithm. (Does the length of a video matter? The time of day it is
posted at?) We began collecting data upon video publication and
continued until the end of the reporting period, ensuring that there was a
minimum of two weeks of available data per video. We found that videos
typically received the majority of views and engagement within the first
week after publication; thus, this timeframe is generally sufficient to
observe video trends.</p>
      <p id="d1e384">We collected all of the summary data for each individual video that TikTok
provides: video views, likes, comments, shares, total cumulative play time,
average duration the video was watched, percentage of viewers who watched
the full video, unique reached audience, the percentage of video views by
section (<italic>For You</italic>, personal profile, <italic>Following</italic>, hashtags), and the percentage of views by
region or country. Prior to August 2022, TikTok did not provide information on
the gender or the age of users who view a video; however, following that date, they now provide
this information for videos created.</p>
      <p id="d1e393">We evaluated the videos based on reach and engagement metrics as well as
average video view duration. We used metrics of reach (number of unique
users the video was seen by) and engagement (likes, comments, and shares) to calculate the engagement rate of each video. The engagement rate is
calculated as the engagement parameter as a percentage of total reach (e.g., likes <inline-formula><mml:math id="M6" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> audience reached <inline-formula><mml:math id="M7" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100). We hypothesize that the videos with the highest engagement rates and longest view durations will receive the highest
views and reach (Klug et al., 2021). Longer view duration indicates greater
interest in the video and subject, and engaging with the video through
likes, comments, or shares demonstrates additional interest, indicating that
the science communication was successful and impactful. This interest and
engagement with the video is likely to be rewarded within the algorithm,
with the video being shown to more people on the <italic>For You</italic> page.</p>
      <p id="d1e413">We performed correlation analyses of variables related to views, engagement
rate, and view duration to evaluate any trends in video performance. We
calculated the Pearson correlation coefficient to determine the correlation
between variables, and we calculated p values to determine the statistical
significance of each relationship (<inline-formula><mml:math id="M8" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M9" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.05 is
selected to indicate statistical significance). All individual plots and
values from the correlation analyses are available in the Supplement.</p>
      <p id="d1e431">We also recorded weekly account metrics, including total video views, profile views, total account likes, total comments, total shares, total followers,
new followers, gender of followers, and region or country of followers. TikTok
reports gender as a binary percentage of male and female followers. Of these metrics, we most closely evaluated the gender percentage of followers over
time to see how well we were able to reach specific demographics.</p>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Results</title>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Video and account metrics</title>
      <p id="d1e449">During the 4-month test period, the Terra Explore account gained over
12 000 followers, and the 48 videos published garnered 2 106 504 views,
3579 comments, and 5144 shares. The videos had a combined 22 297 h of
watch time. Individual video views ranged between 522 views and 684 100
views, with a median of approximately 2400 views. Seven videos received
over 90 000 views, and 30 videos received less than 3000 views. Videos were uploaded at various times throughout the day, and the videos that received
the most views (<inline-formula><mml:math id="M10" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 90 000) were uploaded either in the morning or
early afternoon Mountain Standard Time (MST, UTC<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>) (Fig. 2). However,
there was no statistically significant correlation between video upload time and the number of video views (<inline-formula><mml:math id="M12" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M13" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). We did not spread video
publication evenly throughout the week, and the greatest number of videos
were posted on Tuesdays. Videos that were published on Wednesdays and
Thursdays received fewer views than other days of the week, with videos
published on Mondays receiving the most cumulative views on average (Fig. 3).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e485">Time of video upload in Mountain Standard Time (MST, UTC<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>) and
the number of views the video received (on logarithmic scale). Videos that
received <inline-formula><mml:math id="M15" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 90 000 were uploaded in the morning or early afternoon
MST (UTC<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>). There is no statistically significant correlation between the
time of video upload and the number of video views (<inline-formula><mml:math id="M17" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M18" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05).</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e537"><bold>(a)</bold> The number of videos uploaded per day of the week. <bold>(b)</bold> The average total number of video views received based on the day of video upload. Videos that were posted on Wednesdays and Thursday received the lowest number of views on average.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f03.png"/>

        </fig>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e555">Top 10 most-viewed videos between 8 October 2021 and 6 February 2022 on the Terra Explore and corresponding metrics. GMV: ground motion
visualization, <inline-formula><mml:math id="M19" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula>: earthquake magnitude. ER %: engagement rate (metric <inline-formula><mml:math id="M20" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> audience reached <inline-formula><mml:math id="M21" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100). All videos had an average video view duration of 40 % or higher. These videos correspond to nos. 1–10 in Fig. 4.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="4.1cm"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Video topic</oasis:entry>
         <oasis:entry colname="col2">Date published​​​​​​​</oasis:entry>
         <oasis:entry colname="col3">Length</oasis:entry>
         <oasis:entry colname="col4">Views</oasis:entry>
         <oasis:entry colname="col5">Likes</oasis:entry>
         <oasis:entry colname="col6">Comments</oasis:entry>
         <oasis:entry colname="col7">Shares</oasis:entry>
         <oasis:entry colname="col8">Avg. %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">​​​​​​​</oasis:entry>
         <oasis:entry colname="col3">(s)</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">(ER %)</oasis:entry>
         <oasis:entry colname="col6">(ER %)</oasis:entry>
         <oasis:entry colname="col7">(ER %)</oasis:entry>
         <oasis:entry colname="col8">Watched</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Hayward, California offset curb <?xmltex \hack{\hfill\break}?>(Hayward fault creep)</oasis:entry>
         <oasis:entry colname="col2">1 February 2022</oasis:entry>
         <oasis:entry colname="col3">108</oasis:entry>
         <oasis:entry colname="col4">684 100</oasis:entry>
         <oasis:entry colname="col5">104 600 (16)</oasis:entry>
         <oasis:entry colname="col6">1209 (0.19)</oasis:entry>
         <oasis:entry colname="col7">2332 (0.37)</oasis:entry>
         <oasis:entry colname="col8">51</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GMV of <inline-formula><mml:math id="M22" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula> 6.2 Hawaii <?xmltex \hack{\hfill\break}?>earthquake</oasis:entry>
         <oasis:entry colname="col2">11 October 2021</oasis:entry>
         <oasis:entry colname="col3">30</oasis:entry>
         <oasis:entry colname="col4">372 300</oasis:entry>
         <oasis:entry colname="col5">43 900 (13)</oasis:entry>
         <oasis:entry colname="col6">558  (0.16)</oasis:entry>
         <oasis:entry colname="col7">1066 (0.31)</oasis:entry>
         <oasis:entry colname="col8">85</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Demonstrating earthquake <?xmltex \hack{\hfill\break}?>magnitude with spaghetti</oasis:entry>
         <oasis:entry colname="col2">22 October 2021</oasis:entry>
         <oasis:entry colname="col3">34</oasis:entry>
         <oasis:entry colname="col4">305 500</oasis:entry>
         <oasis:entry colname="col5">24 300 (8)</oasis:entry>
         <oasis:entry colname="col6">444  (0.15)</oasis:entry>
         <oasis:entry colname="col7">346 (0.12)</oasis:entry>
         <oasis:entry colname="col8">78</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GMV of <inline-formula><mml:math id="M23" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula> 7.3 Indonesia <?xmltex \hack{\hfill\break}?>earthquake</oasis:entry>
         <oasis:entry colname="col2">14 December 2021</oasis:entry>
         <oasis:entry colname="col3">56</oasis:entry>
         <oasis:entry colname="col4">184 600</oasis:entry>
         <oasis:entry colname="col5">14 000 (10)</oasis:entry>
         <oasis:entry colname="col6">205 (0.55)</oasis:entry>
         <oasis:entry colname="col7">344 (0.15)</oasis:entry>
         <oasis:entry colname="col8">60</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Hollister, California fault creep <?xmltex \hack{\hfill\break}?>and impact on infrastructure</oasis:entry>
         <oasis:entry colname="col2">6 February 2022</oasis:entry>
         <oasis:entry colname="col3">88</oasis:entry>
         <oasis:entry colname="col4">190 300</oasis:entry>
         <oasis:entry colname="col5">19 600 (11)</oasis:entry>
         <oasis:entry colname="col6">386 (0.22)</oasis:entry>
         <oasis:entry colname="col7">612 (0.34)</oasis:entry>
         <oasis:entry colname="col8">41</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Wallace Creek (San Andreas <?xmltex \hack{\hfill\break}?>Fault, California) stream offsets</oasis:entry>
         <oasis:entry colname="col2">27 December 2021</oasis:entry>
         <oasis:entry colname="col3">73</oasis:entry>
         <oasis:entry colname="col4">133 500</oasis:entry>
         <oasis:entry colname="col5">6871 (5)</oasis:entry>
         <oasis:entry colname="col6">128  (0.10)</oasis:entry>
         <oasis:entry colname="col7">48 (0.04)</oasis:entry>
         <oasis:entry colname="col8">55</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Lidar “X-ray vision” of Earth's <?xmltex \hack{\hfill\break}?>surface (San Andreas Fault, <?xmltex \hack{\hfill\break}?>California)</oasis:entry>
         <oasis:entry colname="col2">16 October 2021</oasis:entry>
         <oasis:entry colname="col3">48</oasis:entry>
         <oasis:entry colname="col4">92 900</oasis:entry>
         <oasis:entry colname="col5">5859 (7)</oasis:entry>
         <oasis:entry colname="col6">105 (0.12)</oasis:entry>
         <oasis:entry colname="col7">49 (0.05)</oasis:entry>
         <oasis:entry colname="col8">56</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Cascadia 1700 earthquake and <?xmltex \hack{\hfill\break}?>tsunami anniversary</oasis:entry>
         <oasis:entry colname="col2">26 January 2022</oasis:entry>
         <oasis:entry colname="col3">147</oasis:entry>
         <oasis:entry colname="col4">21 600</oasis:entry>
         <oasis:entry colname="col5">1861 (10)</oasis:entry>
         <oasis:entry colname="col6">83  (0.42)</oasis:entry>
         <oasis:entry colname="col7">71 (0.36)</oasis:entry>
         <oasis:entry colname="col8">43</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">GMV of Nicaragua <inline-formula><mml:math id="M24" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula> 6.2 <?xmltex \hack{\hfill\break}?>earthquake</oasis:entry>
         <oasis:entry colname="col2">9 November 2021</oasis:entry>
         <oasis:entry colname="col3">39</oasis:entry>
         <oasis:entry colname="col4">11 700</oasis:entry>
         <oasis:entry colname="col5">1102 (10)</oasis:entry>
         <oasis:entry colname="col6">37 (0.34)</oasis:entry>
         <oasis:entry colname="col7">29 (0.26)</oasis:entry>
         <oasis:entry colname="col8">55</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Using lidar to uncover ancient <?xmltex \hack{\hfill\break}?>Mesoamerican complexes</oasis:entry>
         <oasis:entry colname="col2">30 October 2021</oasis:entry>
         <oasis:entry colname="col3">47</oasis:entry>
         <oasis:entry colname="col4">7896</oasis:entry>
         <oasis:entry colname="col5">1339 (17)</oasis:entry>
         <oasis:entry colname="col6">20  (0.26)</oasis:entry>
         <oasis:entry colname="col7">13  (0.17)</oasis:entry>
         <oasis:entry colname="col8">53</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T3" specific-use="star"><?xmltex \currentcnt{3}?><label>Table 3</label><caption><p id="d1e988">The 10 least-viewed videos and corresponding metrics on the Terra
Explore account between 8 October 2021 and 6 February 2022. ER: engagement rate (metric <inline-formula><mml:math id="M25" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> audience reached <inline-formula><mml:math id="M26" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100). These videos correspond to nos. 39–48 in Fig. 4.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="4.6cm"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Video topic</oasis:entry>
         <oasis:entry colname="col2">Date published</oasis:entry>
         <oasis:entry colname="col3">Length</oasis:entry>
         <oasis:entry colname="col4">Views</oasis:entry>
         <oasis:entry colname="col5">Likes</oasis:entry>
         <oasis:entry colname="col6">Comments</oasis:entry>
         <oasis:entry colname="col7">Shares</oasis:entry>
         <oasis:entry colname="col8">Avg. %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(s)</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8">Watched</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Difference between earthquake <?xmltex \hack{\hfill\break}?>magnitude and intensity</oasis:entry>
         <oasis:entry colname="col2">25 October 2021</oasis:entry>
         <oasis:entry colname="col3">57</oasis:entry>
         <oasis:entry colname="col4">1606</oasis:entry>
         <oasis:entry colname="col5">189 (12)</oasis:entry>
         <oasis:entry colname="col6">4 (0.25)</oasis:entry>
         <oasis:entry colname="col7">6 (0.37)</oasis:entry>
         <oasis:entry colname="col8">34</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Difference between hazard and risk</oasis:entry>
         <oasis:entry colname="col2">27 November 2021</oasis:entry>
         <oasis:entry colname="col3">38</oasis:entry>
         <oasis:entry colname="col4">1562</oasis:entry>
         <oasis:entry colname="col5">110  (7)</oasis:entry>
         <oasis:entry colname="col6">1 (0.07)</oasis:entry>
         <oasis:entry colname="col7">1 (0.07)</oasis:entry>
         <oasis:entry colname="col8">36</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Attending a scientific meeting, <?xmltex \hack{\hfill\break}?>Geological Society of America <?xmltex \hack{\hfill\break}?>2021 meeting</oasis:entry>
         <oasis:entry colname="col2">12 October 2021</oasis:entry>
         <oasis:entry colname="col3">60</oasis:entry>
         <oasis:entry colname="col4">1539</oasis:entry>
         <oasis:entry colname="col5">87 (6)</oasis:entry>
         <oasis:entry colname="col6">8 (0.53)</oasis:entry>
         <oasis:entry colname="col7">9 (0.60)</oasis:entry>
         <oasis:entry colname="col8">25</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Earthquake yoga (demonstrating <?xmltex \hack{\hfill\break}?>types of seismic waves)</oasis:entry>
         <oasis:entry colname="col2">13 October 2021</oasis:entry>
         <oasis:entry colname="col3">59</oasis:entry>
         <oasis:entry colname="col4">1511</oasis:entry>
         <oasis:entry colname="col5">58  (4)</oasis:entry>
         <oasis:entry colname="col6">6  (0.43)</oasis:entry>
         <oasis:entry colname="col7">6 (0.43)</oasis:entry>
         <oasis:entry colname="col8">18</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Different earthquake waves: <?xmltex \hack{\hfill\break}?>P waves and S waves</oasis:entry>
         <oasis:entry colname="col2">27 October 2021</oasis:entry>
         <oasis:entry colname="col3">56</oasis:entry>
         <oasis:entry colname="col4">1101</oasis:entry>
         <oasis:entry colname="col5">135  (12)</oasis:entry>
         <oasis:entry colname="col6">5  (0.44)</oasis:entry>
         <oasis:entry colname="col7">1 (0.09)</oasis:entry>
         <oasis:entry colname="col8">34</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Call for “Ask a Geoscientist” <?xmltex \hack{\hfill\break}?>questions</oasis:entry>
         <oasis:entry colname="col2">25 October 2021</oasis:entry>
         <oasis:entry colname="col3">11</oasis:entry>
         <oasis:entry colname="col4">863</oasis:entry>
         <oasis:entry colname="col5">59  (6)</oasis:entry>
         <oasis:entry colname="col6">3  (0.33)</oasis:entry>
         <oasis:entry colname="col7">1 (0.11)</oasis:entry>
         <oasis:entry colname="col8">49</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Demonstrating types of faults using <?xmltex \hack{\hfill\break}?>candy bars</oasis:entry>
         <oasis:entry colname="col2">29 October 2021</oasis:entry>
         <oasis:entry colname="col3">59</oasis:entry>
         <oasis:entry colname="col4">840</oasis:entry>
         <oasis:entry colname="col5">110  (8)</oasis:entry>
         <oasis:entry colname="col6">6  (0.19)</oasis:entry>
         <oasis:entry colname="col7">5 (0.13)</oasis:entry>
         <oasis:entry colname="col8">35</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Wave refraction explained</oasis:entry>
         <oasis:entry colname="col2">18 November 2021</oasis:entry>
         <oasis:entry colname="col3">39</oasis:entry>
         <oasis:entry colname="col4">815</oasis:entry>
         <oasis:entry colname="col5">62 (7)</oasis:entry>
         <oasis:entry colname="col6">1  (0.12)</oasis:entry>
         <oasis:entry colname="col7">0 (0.00)</oasis:entry>
         <oasis:entry colname="col8">37</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">How GPS is used to monitor Earth's <?xmltex \hack{\hfill\break}?>systems</oasis:entry>
         <oasis:entry colname="col2">23 October 2021</oasis:entry>
         <oasis:entry colname="col3">50</oasis:entry>
         <oasis:entry colname="col4">775</oasis:entry>
         <oasis:entry colname="col5">78  (10)</oasis:entry>
         <oasis:entry colname="col6">4  (0.50)</oasis:entry>
         <oasis:entry colname="col7">1 (0.12)</oasis:entry>
         <oasis:entry colname="col8">27</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mandalorian “baby seismometer” <?xmltex \hack{\hfill\break}?>meme</oasis:entry>
         <oasis:entry colname="col2">26 October 2021</oasis:entry>
         <oasis:entry colname="col3">9</oasis:entry>
         <oasis:entry colname="col4">522</oasis:entry>
         <oasis:entry colname="col5">27  (7)</oasis:entry>
         <oasis:entry colname="col6">1  (0.27)</oasis:entry>
         <oasis:entry colname="col7">0 (0.00)</oasis:entry>
         <oasis:entry colname="col8">76</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1382">Tables 2 and 3 record the topic and metrics of our 10 most-viewed and 10
least-viewed videos. Our highest viewed video described an offset curb in
Hayward, California that was famous among geologists for recording the
continual slow motion along the Hayward Fault (part of the San Andreas fault system). Three of our 10 most-viewed videos were GMVs, one was a
demonstration, and the rest were lecture-style videos. The lecture-style
videos were either related to discussing a geologic topic related to a
specific location or a recent newsworthy event or anniversary. Our 10 least
viewed videos included five lecture-style videos, two demonstration videos,
one in-person video, one miscellaneous video, and one meme-style video.
These lecture-style videos were all explainer videos of topics related to
seismology or geodesy. Our least-viewed videos were all published in either
October or November 2021, when we first began our account. However, our
second and third most-viewed videos were also published during this
timeframe. Our top 10 most-viewed videos averaged 67 s in length and
had an average video view duration of 58 %, while our 10 least-viewed
videos averaged 44 s in length and had an average video view duration
of 37 %. The top 10 most-viewed videos had an average engagement rate of
11 % for likes, while the 10 least-viewed videos had an average
engagement rate of 8 % for likes.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1387">Percentage of video views by section (<italic>For You</italic> page, personal profile, <italic>Following</italic>, hashtag, unknown), with videos ranked from the most (1) to the least (48) viewed (see Tables 2 and 3 for the 10 most and 10 least-viewed videos). The videos with the highest number of views received nearly all (<inline-formula><mml:math id="M27" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 97 %) of their views from the <italic>For You</italic> page. The seven most-viewed videos each received over 90 000 views.</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f04.png"/>

        </fig>

      <p id="d1e1412">Of the account's over 2.1 million video views, 95 % of those views came
from videos shown on the <italic>For You</italic> page. Nearly twice as many videos were viewed on the Terra Explore profile page than on the <italic>Following</italic> feed. Videos were rarely
discovered by a user directly searching for a specific hashtag (Table 4).
Our most-viewed videos received nearly all (<inline-formula><mml:math id="M28" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 97 %) of their
views from the <italic>For You</italic> page. Videos with fewer views were shown to fewer users on the <italic>For You</italic> page and received a higher percentage of views from the Terra Explore profile page or the <italic>Following</italic> feed (Fig. 4).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4"><?xmltex \currentcnt{4}?><label>Table 4</label><caption><p id="d1e1442">Top 15 most commonly used hashtags on the Terra Explore videos,
indicating the number of videos they were used on and the cumulative views
associated with hashtag use. (FYP: <italic>For You</italic> page.)</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Hashtag</oasis:entry>
         <oasis:entry colname="col2">No. of videos</oasis:entry>
         <oasis:entry colname="col3">Cumulative</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">used in</oasis:entry>
         <oasis:entry colname="col3">views</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Geophysics</oasis:entry>
         <oasis:entry colname="col2">38</oasis:entry>
         <oasis:entry colname="col3">1 073 171</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Geology</oasis:entry>
         <oasis:entry colname="col2">36</oasis:entry>
         <oasis:entry colname="col3">1 511 813</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Earthquake</oasis:entry>
         <oasis:entry colname="col2">31</oasis:entry>
         <oasis:entry colname="col3">1 974 026</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Seismology</oasis:entry>
         <oasis:entry colname="col2">22</oasis:entry>
         <oasis:entry colname="col3">949 459</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Science</oasis:entry>
         <oasis:entry colname="col2">8</oasis:entry>
         <oasis:entry colname="col3">148 978</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Lidar</oasis:entry>
         <oasis:entry colname="col2">6</oasis:entry>
         <oasis:entry colname="col3">110 251</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">GPS</oasis:entry>
         <oasis:entry colname="col2">5</oasis:entry>
         <oasis:entry colname="col3">12 190</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">LearnOnTikTok</oasis:entry>
         <oasis:entry colname="col2">5</oasis:entry>
         <oasis:entry colname="col3">32 854</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SanAndreas</oasis:entry>
         <oasis:entry colname="col2">4</oasis:entry>
         <oasis:entry colname="col3">418 542</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Earthquakes</oasis:entry>
         <oasis:entry colname="col2">4</oasis:entry>
         <oasis:entry colname="col3">11 651</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">FYP</oasis:entry>
         <oasis:entry colname="col2">4</oasis:entry>
         <oasis:entry colname="col3">15 079</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">California</oasis:entry>
         <oasis:entry colname="col2">4</oasis:entry>
         <oasis:entry colname="col3">1 013 653</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Geoscience</oasis:entry>
         <oasis:entry colname="col2">3</oasis:entry>
         <oasis:entry colname="col3">4221</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Geodesy</oasis:entry>
         <oasis:entry colname="col2">3</oasis:entry>
         <oasis:entry colname="col3">5861</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SciComm</oasis:entry>
         <oasis:entry colname="col2">3</oasis:entry>
         <oasis:entry colname="col3">187 259</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1670">A total of 85 % of the account's followers are located within the United States,
followed by 3 % from Canada; 84 % of the total number of video views
came from users located within the United States, with each individual video averaging 78 % of its views from users in the United States. Canada was
the second highest video viewer region on 22 videos, Australia on 17 videos, the United Kingdom on 5, and the Philippines on 4, with the secondary
country yielding, on average, 5 % of a video's views. As of February 2022,
the Terra Explore account had 36.5 % female and 63.5 % male followers. This percentage remained relatively unchanged over the 1-month duration of video posts.</p>
</sec>
<sec id="Ch1.S6.SS2">
  <label>6.2</label><title>Video view duration and engagement rate</title>
      <p id="d1e1681">The average percentage of time a video was viewed was 44 % of its
duration, and on average, 19 % of users watched the full duration of a
video. We evaluated the relationship between the average view duration of a
video (%) and the number of video views based on the length of the video
(<inline-formula><mml:math id="M29" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 30 s, 30 s to 1 min, 1 to 2 min, and
<inline-formula><mml:math id="M30" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 2 min in duration) to assess whether longer watch times resulted in greater promotion to other users, resulting in
higher views (Fig. 5).  Amongst all videos, there is a weak positive
correlation that is statistically significant between the average video view duration and number of video views (<inline-formula><mml:math id="M31" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.37, <inline-formula><mml:math id="M33" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M34" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.008). Amongst the individual video length populations, only videos between 30 s to 1 min long showed a statistically significant correlation between average video view duration and number of video views (<inline-formula><mml:math id="M35" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.57, <inline-formula><mml:math id="M37" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M38" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.002). Videos <inline-formula><mml:math id="M39" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 30 s averaged the highest average view duration (63 %). However, there is a statistically significant negative correlation between the average video view duration and the length of a video (<inline-formula><mml:math id="M40" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M41" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M42" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.41, <inline-formula><mml:math id="M43" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M44" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.004) (Fig. S6 in the Supplement), indicating that the average view duration is, in part, tied to the length of the video itself.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1800">Average percentage of the video viewed based on the length of the
video (<inline-formula><mml:math id="M45" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 30 s, 30 s to 1 min, 1 to 2 min, and
<inline-formula><mml:math id="M46" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 2 min) compared to the number of video views. Note that
video views are shown on a logarithmic scale. There is a weak positive
correlation that is statistically significant (<inline-formula><mml:math id="M47" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M48" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.37, <inline-formula><mml:math id="M49" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M50" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.008). See Supplement for full correlation analysis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1854">Engagement rate of likes, comments, and shares from each video
compared with video views (plotted on a log scale). There is a statistically
significant strong positive correlation between the number of video views
and the engagement rate of likes for videos with over 90 000 views (<inline-formula><mml:math id="M51" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M52" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.90, <inline-formula><mml:math id="M53" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M54" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.006) but no statistically significant correlation between the number of video views and the engagement rate of likes for videos with less than 90 000 views (<inline-formula><mml:math id="M55" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M56" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). There is no statistically significant correlation between the number of video views and the engagement rate of comments or shares (<inline-formula><mml:math id="M57" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M58" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). See Supplement for full correlation analysis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f06.png"/>

        </fig>

      <p id="d1e1921">Videos had average engagement rates of 10 %, 0.38 %, and 0.21 % for likes, comments, and shares, respectively. These engagement rates are
similar to the engagement rates of other analyzed educational science
content on TikTok (Habibi and Salim, 2021). We found a statistically
significant strong positive correlation between the number of video views
and the engagement rate of likes for videos with over 90 000 views (<inline-formula><mml:math id="M59" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.90, <inline-formula><mml:math id="M61" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M62" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.006). However, there is no statistically significant
correlation between the number of video views and the engagement rate of
likes for videos with fewer than 90 000 views (<inline-formula><mml:math id="M63" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M64" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). We also
observe no statistically significant correlation between the number of video views and the engagement rate of comments or shares (<inline-formula><mml:math id="M65" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M66" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05)
(Fig. 6). Therefore, videos that received a large number of views
(<inline-formula><mml:math id="M67" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 90 000) did not necessarily have a higher engagement rate than
videos with far fewer views (<inline-formula><mml:math id="M68" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 2000).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1997">Engagement rates from each video compared with the average view
duration (%) of the video. There is no statistically significant
correlation with the average view duration and any engagement rate metric (<inline-formula><mml:math id="M69" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M70" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). See Supplement for full correlation analysis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f07.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e2022">Engagement rates from each video compared with the duration of the
video. Short videos under 20 s have a lower overall engagement rate
than longer videos do. There is a weak positive correlation that is
statistically significant between the length of a video and the engagement
rate of likes (<inline-formula><mml:math id="M71" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.34, <inline-formula><mml:math id="M73" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M74" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.017) and a weak to moderate positive relationship that is statistically significant between video length and the engagement rate of shares (<inline-formula><mml:math id="M75" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M76" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.46, <inline-formula><mml:math id="M77" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M78" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.001). There is no statistically significant correlation between video length and the
engagement rate of comments (<inline-formula><mml:math id="M79" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M80" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05). See Supplement for full correlation analysis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f08.png"/>

        </fig>

      <p id="d1e2102">We observed no statistically significant correlation between the average
video view duration (%) and the engagement rate of likes, comments, or
shares (<inline-formula><mml:math id="M81" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M82" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05) (Fig. 7), two factors that are hypothesized to
strongly impact the reach (views) a video can receive. Just because a user
watches more of a video does not indicate that they are more likely to engage with the video. However, our analyses indicated that the average
video view duration is, in part, tied to the length of the video. In looking
at video length, we found a weak positive correlation that is statistically
significant between the length of a video and the engagement rate of likes
(<inline-formula><mml:math id="M83" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M84" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.34, <inline-formula><mml:math id="M85" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M86" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.017). There was no statistically significant
correlation between video length and the engagement rate of comments (<inline-formula><mml:math id="M87" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M88" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05), but there was a weak to moderate positive relationship
that is statistically significant between video length and the engagement
rate of shares (<inline-formula><mml:math id="M89" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M90" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.46, <inline-formula><mml:math id="M91" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M92" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.001). Thus, longer videos tended to have higher engagement rates (Fig. 8).</p>
</sec>
<sec id="Ch1.S6.SS3">
  <label>6.3</label><title>Hashtags</title>
      <p id="d1e2199">Across our 48 published videos, we used a total of 81 unique hashtags. Our
videos most commonly used the hashtags “geophysics”, “geology”, and
“earthquake” (Table 4). Even though the hashtags “geophysics” and
“geology” were used on the most videos, videos that used the hashtag
“earthquake” generated the most cumulative views. Hashtags like
“SanAndreas” and “California” that were only used in four videos were
also associated with a large number of views.</p>
      <p id="d1e2202">Only one video had higher than 1 % of its views come directly from
searching for hashtags or clicking on a hashtag to view videos (video ranked number 11 on Fig. 5). That video, explaining the Hunga Tonga-Hunga Ha`apai
volcanic eruption in January 2022, received 3 % of its views from direct
hashtag searches. This post included the hashtags “HungaTonga” and
“Tonga”, from which the views were likely derived.</p>
      <p id="d1e2205">Between October 2021 and February 2022, the cumulative views of all videos
using the “geology” hashtag across TikTok increased by 167.5 million
views, with Terra Explore videos contributing 9 % of those views, and the
“geophysics” hashtag increased by 1.2 million views, with Terra Explore
videos contributing 89 % of those views.</p>
</sec>
<sec id="Ch1.S6.SS4">
  <label>6.4</label><title>GMV videos</title>
      <p id="d1e2216">Nine of the 48 videos produced featured ground motion visualizations (GMVs)
of recent notable earthquakes. All nine of the GMV videos highlighted
earthquakes that were of magnitude 6 or larger. GMV videos were uploaded the
day of or the day after an earthquake occurred and were posted approximately twice a month during this 4-month duration. Views for these videos ranged
between 2106 and 372 300 views. Eight videos were under 60 s in
length, and one was 100 s long. The videos with the most views had a
duration between 30–60 s, but there is no statistically significant
correlation between video length and the number of views (<inline-formula><mml:math id="M93" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M94" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05) (Fig. 9a). We found that there is a strong positive statistically
significant correlation between the average video view duration and the
number of video views (<inline-formula><mml:math id="M95" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M96" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.847, <inline-formula><mml:math id="M97" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M98" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.004) (Fig. 9b). There was no statistically significant correlation between the number of video views and the engagement rate of likes, comments, or shares (<inline-formula><mml:math id="M99" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M100" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05)
(Fig. 9c). Videos were posted at different times during the day, with the
videos that received the most views being posted in the morning Mountain
Standard Time (MST, UTC<inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>). However, there is no statistically significant correlation between time posted and number of views (<inline-formula><mml:math id="M102" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M103" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05) (Fig. 9d). Regardless of the global location where the earthquake occurred, on average, 84 % of each videos' views came from users located within the United States. Therefore, these GMV videos were largely not being shown to users in countries where the earthquake occurred but rather shown to users in North America (where the visualization is focused).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e2302">Video views of GMV videos on a log scale compared with <bold>(a)</bold> the duration of the video, <bold>(b)</bold> the average duration a video was watched, <bold>(c)</bold> the engagement rates of the video, and <bold>(d)</bold> the time of day the video was posted (MST, UTC<inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>). There is a strong positive statistically significant correlation between the average video view duration and the number of video views (<inline-formula><mml:math id="M105" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M106" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.847, <inline-formula><mml:math id="M107" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M108" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.004), but there is no statistically significant
correlation (<inline-formula><mml:math id="M109" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M110" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05) between the other parameters. See
Supplement for full correlation analyses.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://gc.copernicus.org/articles/5/363/2022/gc-5-363-2022-f09.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S7">
  <label>7</label><title>Discussion</title>
<sec id="Ch1.S7.SS1">
  <label>7.1</label><title>Video views and viewership</title>
      <p id="d1e2392">The vast number of video views received from the <italic>For You</italic> page rather than the <italic>Following</italic> feed demonstrates that content on TikTok is primarily consumed from the <italic>For You</italic> page and that the success of a video largely hinges on whether it will
continue to be shown to more users on this algorithmic feed. Our findings
are in accordance with TikTok's internal data that users spend the majority
of time (nearly 70 %) on the <italic>For You</italic> page on the app (Stokel-Walker, 2020). With users spending less time on the <italic>Following</italic> feed, this feed provides a lower overall
source of video views. Even when a person is following an account, those
videos can still be shown on the <italic>For You</italic> page. The view, although coming from a follower, would still be marked as a view from the <italic>For You</italic> page. Our findings support other work showing that video views on TikTok are less dependent on the number of followers or subscribers as compared to other platforms like YouTube (Guinaudeau et al., 2022). While the number of followers can support the credibility of an account, a large number of followers is not required to reach a large viewership on TikTok, and having a high number of followers on TikTok does not guarantee equally high video views.</p>
      <p id="d1e2417">Short videos (<inline-formula><mml:math id="M111" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 20 s or less) on TikTok may have a
higher potential to accumulate views, as they can easily be played in a
“loop” like a GIF, but our data suggest that users are more likely to
engage and interact with longer (<inline-formula><mml:math id="M112" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 60 s) educational science
videos (Fig. 8). Even though some of these longer videos did not perform
particularly well in terms of view counts (Fig. 6), they still tended to
have relatively high engagement rates. Videos <inline-formula><mml:math id="M113" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 20 s had an average
engagement rate of 6.5 % for likes, whereas videos between 40 s and 2
minutes had an average engagement rate of 10 % for likes. While it is
suspected that higher engagement rates on TikTok videos lead to higher views (Klug et al., 2021), we did not observe any clear relationship between the
number of video views and the engagement rate (Fig. 6). We found that
there was a strong positive correlation between the number of views and the
engagement rate of likes only for our most highly viewed videos (videos with <inline-formula><mml:math id="M114" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 90 000 views).  High engagement rates on videos with lower view
counts may come from people who are following the account and have an
expressed interest in the subject.</p>
      <p id="d1e2448">The lack of any discernible relationship between the average view duration
of a video and the engagement rate (Fig. 7) demonstrates that these two
factors are not coupled and suggests that a video likely needs both a high
engagement rate and a high view duration to be promoted within algorithmic
feeds. Our top 10 most-viewed videos had an average view duration of 58 % and an average engagement rate of 11 % for likes (Table 2), which is greater than
the average view duration of 44 % and 10 % likes across all of our
videos. Unlike platforms like YouTube, where users select which video to
view, users on TikTok choose whether to continue viewing a video they were
automatically shown. While some highly interested users may watch the
majority of the video and engage with it, if too many users quickly scroll
away, it will negatively impact the average view duration of the video and
its reach. If the intent of the science content is to maximize the
engagement level from the viewer, then producing longer (<inline-formula><mml:math id="M115" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 60 s)
lecture-style videos is preferable. However, the reach of the video may be
sacrificed with longer videos if too many users scroll away from the video
too quickly. Thus, the communication objectives should dictate what video
type and duration is used.</p>
      <p id="d1e2458">Unlike platforms such as Twitter, where users may search for a specific
hashtag to view content related to a topic (Chang and Iyer, 2012), viewer
behavior in regard to educational science content on TikTok largely does not entail searching for specific hashtags to view content, unless related to a
specific newsworthy event. On average, only 0.02 % of our video views came directly from hashtag searches. Thus, hashtags appear most useful in
categorizing content, which may aid in its algorithmic discovery on the <italic>For You</italic> page – although the factors used in TikTok's algorithm have not been publicly disclosed. The use of a hashtag itself will not necessarily
determine the popularity of a video, but rather, the hashtag is reflective of the content and subject matter of the video.</p>
      <p id="d1e2465">We also found that there was little relationship between the time a video
was posted and how well it performed (Figs. 2, 9d). Post time optimization is
the concept of posting social media content at a time when most
users or followers are active and online and likely to see the content, thus
increasing its potential reach. As the majority of our account's followers
are located within the United States, we focused our posting during daytime
hours within the US before followers would log off for the night.
However, it would be interesting, especially if wanting to attract an
international audience, to see how videos perform if they are posted during
nighttime hours in the US. We anticipate that videos should be posted at a
time local to when the desired or majority audience is primarily online.</p>
</sec>
<sec id="Ch1.S7.SS2">
  <label>7.2</label><title>Generating high video reach and engagement</title>
      <p id="d1e2476">While intrinsic features such as the length of the video may impact
engagement metrics, the content of the video itself is an equally important
consideration when attempting to reach a wide audience and generate high
engagement. Based on our most-viewed videos (Table 2), we found that videos
with the highest reach focused on recent newsworthy events (e.g., an
earthquake) or discussed specific location-based geology. These findings
support pedagogical research that suggests that recent, real-world incident
examples should be included when teaching geoscience or environmental
science topics to increase student engagement and interest (Singh et al.,
2022).</p>
      <p id="d1e2479">Given our organizational missions, a high percentage of our video content
focused on earthquakes and seismology, with all notable recent earthquakes
being covered in GMV videos. These videos generated high interest by
providing real-time information about earthquakes in the news, shown in a
data visualization format that was likely novel to the public. User comments on GMV videos typically expressed how it was a unique, interesting
visualization that they had not seen before. Additionally, by showing the
motion recorded on seismometers across North America, where the vast majority of our followers are located, users in those areas were able to view how the
ground moved near them, adding a level of personal, location-based interest. User comments also often expressed interest in the distribution of seismic
instruments in North America.</p>
      <p id="d1e2482">We also found high reach and engagement with videos covering other relevant, newsworthy geology topics. For example, we produced videos covering the
January 2022 Hunga Tonga-Hunga Ha`apai volcanic eruption and the anniversary of the January 1700 Cascadia earthquake and tsunami. These videos were our
eleventh and eighth most-viewed videos, respectively, and were presented in a
“lecture style” that primarily used image overlays. Comments left on these videos typically expressed that the users enjoyed the overview of
information and how it was conveyed. The Hunga Tonga video was also shown to a wider international audience, with only 66 % of views coming from users
located in the United States. Thus, if the focus of the video is on a
specific international location or event, the video may be served to a broader
audience. Research from educational geoscience videos on YouTube also
suggests that short, timely videos about natural hazards are useful for
engaging the public, especially those who live near where the hazards occur
(Wang et al., 2022).</p>
      <p id="d1e2485">Videos describing geologic processes or features were most successful when
they were tied to a specific, recognizable location. These videos were done
in a “lecture style”, typically using “green screen” backgrounds and
image overlays. Based on user comments, videos that were about a geologic
feature in a specific location that were tagged with location indicators
(e.g., #Hayward #California; #Hollister #California) were shown
to many people who live in those cities. Although these users may not have
previously interacted with or shown interest in geoscience content, we
hypothesize that location-based information was used to deliver these videos to their <italic>For You</italic> page. Based on these video comments, the high engagement was generated in part by users from those geographic locations. Many commented that they were from the locations being covered; some recognized features in the town they were familiar with, and others learned something new and interesting about the geology of where they live.</p>
      <p id="d1e2492">In spite of these data, there is still complexity in understanding why
certain videos perform better than others. For example, we produced two
demonstration videos using food as analogs for geologic concepts. A video
using spaghetti strands to demonstrate earthquake magnitude received 305 500
views and was our third most-viewed video (Table 2), while a video using
Halloween candy bars to demonstrate types of faults received only 840 views
and was our fourth least-viewed video (Table 3). Both of these videos
presented concepts that were made easy for the viewer to understand by using common food items, and they were both posted on the same day of the week
(Friday) and before noon MST (19:00 UTC). It is possible that for
demonstration videos like these – which are more analogous to chemistry or
physics content showing experiments – that a shorter video duration is
better for achieving high reach and engagement. The earthquake spaghetti
video was 34 s long, while the candy bar faults video was 59 s
long. A viewer may be more likely to watch a longer lecture-style video but
may prefer shorter, dynamic demonstration videos.</p>
</sec>
<sec id="Ch1.S7.SS3">
  <label>7.3</label><title>Gender of viewers and target audiences</title>
      <p id="d1e2503">Although we used the hashtags #WomenInSTEM and #WomenInScience on a
number of videos, the majority of the Terra Explore account's followers
remained male (<inline-formula><mml:math id="M116" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 64 % male). Given the fact that 61 % of
users on TikTok are female (Statista Research Department, 2021), the gender breakdown of our
followers is not representative of the demographics of TikTok users. The
large percentage (25 %) of TikTok users that are under the age of 19
(Statista Research Department, 2022a) represents a critical demographic for maintaining interest in STEM. Research has shown that STEM interest begins to decline in middle school (ages 11–13), especially for girls (Archer et al., 2013; Riegle-Crumb and Morton, 2017; Sadler et al., 2012). Additionally, many students
have little exposure to the geosciences during their primary and secondary
education (grades K–12 in the US) (Dodick and Orion, 2003; Lewis and Baker, 2010; Ridky, 2002), which means that young girls are often left without
geoscience role models. Through TikTok, we can engage with this critical
demographic and hope to inspire young women to continue an interest in
pursuing STEM and to see themselves as future STEM professionals.</p>
      <p id="d1e2513">However, the presentation of material by female scientists and the use of
hashtags like #WomenInSTEM or #WomenInScience on TikTok may not be
enough to gain female followers and viewership; the content itself may also
have to focus on gender to be shown on women's <italic>For You</italic> pages. Experience from the lead author's personal TikTok account suggests that women may be more likely to receive videos about gender discrimination and gender disparity on their <italic>For You</italic> page than educational science content, even if they are interested in
science. The lead author made a video on their personal TikTok account
discussing how their follower base had become overwhelmingly male (75 %
male followers) and used the #WomenInSTEM hashtag. The video gained wide
female viewership, leading to a large increase in followers and flipping the percentage of followers to 86.1 % female. The second author also had a
similar experience on their personal TikTok after making a series of posts
about the IF/THEN organization and International Women's Day, with male
following decreasing from 65 % to 17 %.</p>
      <p id="d1e2522">As TikTok did not provide information about the age of followers or viewers
for videos posted prior to August 2022, we are unable to evaluate the full
demographics of who our videos reach. Future work may benefit from creating
and analyzing new videos where the gender percentage and age of viewers are
reported or from using the paid “promote” feature that allows accounts to
target specific demographics.</p>
</sec>
<sec id="Ch1.S7.SS4">
  <label>7.4</label><title>Ethics of TikTok data usage</title>
      <p id="d1e2533">When conducting research on social media platforms, it is necessary to
address the ethical issues related to privacy, anonymity, and consent of
human subjects (Vitak et al., 2016). Kanthawala et al. (2022) discuss the
specific ethical considerations related to research on TikTok, given its
heavier dependence on algorithmic curation and its younger user base. More
so than other social media platforms, TikTok has faced scrutiny over the
data that it collects from its users and user security. TikTok has
previously paid USD 92 million to settle dozens of lawsuits that allege that
users' personal data was tracked and sold to advertisers in violation of
state and federal law (Allyn, 2021). Additionally, there has been scrutiny
over the biometric data, including “faceprints” and “voiceprints”, that
TikTok can now collect from users (McCluskey, 2021).</p>
      <p id="d1e2536">According to TikTok's privacy policy, TikTok collects information that the
user provides when creating an account, such as their name, age, and email,
as well as information from other sources, such as linked social media
accounts and third-party services, and device information, including the
user's approximate location (TikTok, 2021b). By creating a user account and
agreeing to the terms and conditions, TikTok users provide their consent to
have their information collected. However, many users are unlikely to read
the privacy policy when creating an account and will not be aware of what
they are consenting to.</p>
      <p id="d1e2539">Although TikTok provides analytical information about the gender breakdown
of an account's followers, users do not provide information on their gender
when registering for an account. We hypothesize that TikTok either acquires
gender information through connected social media accounts or assumes the
gender of an account based on a user's activity on the app. We are therefore unable to determine how accurate the information provided on the gender of
followers is and whether users are aware that this information is assumed or collected on their behalf. However, we have no reason to believe that this
information would be inaccurate due to TikTok's heavy data mining and the
fact that this same demographic information is also provided to
million-dollar corporations for targeted advertising campaigns.</p>
      <p id="d1e2542"><?xmltex \hack{\newpage}?>The information and data we analyze in this study are restricted to video
view duration and engagement metrics and are not related to in-depth
personal user information that TikTok may collect. We do not evaluate or
analyze the individual followers of the Terra Explore account or include
specific comments from any users, providing full anonymity. The data on
video views, likes, comments, and shares are fully publicly available to all users, and only total cumulative play time, average duration the video was
watched, percentage of viewers who watched the full video, and the
percentage of video views by section and region is private to the account
user. Therefore, the data used are largely public, and there is minimal risk
to the individual users from this research. While TikTok as a platform may
have larger ethical concerns that are beyond the scope of this study, we
argue that the data used in this research are ethical.</p>
</sec>
<sec id="Ch1.S7.SS5">
  <label>7.5</label><title>Potential for science communication on TikTok</title>
      <p id="d1e2555">Data collected over this 4-month time span demonstrates that TikTok
provides significant potential for the reach and growth of science
communication. As a brand-new account, the second video we posted gained
over 165 000 views within the first few days and now has over 370 000 views. The algorithm-driven (rather than follower-driven) nature of TikTok creates a low barrier of entry for new creators. An account does not have to focus on creating a large following in order to achieve a wide reach. Additionally, there are no materials required to produce content other than a mobile
smartphone with a camera. However, given that views from the <italic>Following</italic> feed
constitute a low overall percentage of views, there may be pressure to
constantly produce “viral” videos that are shown widely on the <italic>For You</italic> page.
Having a large number of followers does not guarantee that a video will be
seen by a large number of people.</p>
      <p id="d1e2564">Despite potential shortcomings, TikTok presents an opportunity to deliver
educational science videos to wide audiences with relatively little effort.
All six Terra Explore videos related to lidar were cross-posted on
OpenTopography's YouTube channel as “Shorts”, which is YouTube's
TikTok-like short-form video category. The OpenTopography YouTube channel
had 1900 subscribers at this time. These videos received an average of only
35 views on YouTube, while the same videos received between 2422 and
133 500 views on TikTok. Starting in February 2022, we began cross-posting
GMV videos for recent earthquakes on IRIS's Instagram account as “Reels”,
Instagram's TikTok-like video category. The IRIS Instagram account has
approximately 2300 followers as of fall 2022. The exact same videos
received, on average, 5 times more views on TikTok than they did on
Instagram. The vast discrepancy in views of the exact same videos posted on
different platforms highlights the benefits of TikTok's recommendation
algorithm in reaching a wide audience.</p>
      <p id="d1e2567"><?xmltex \hack{\newpage}?>A potential challenge is that TikTok videos require an engaging, charismatic video presenter: two people could create the same video, but one video might
perform significantly better if one host has a more natural, charismatic
presentation style. We have not evaluated how this factor impacts video
performance. In addition to the content of the video itself, practice in the presentation style of videos (which is beyond the scope of this study) is
also an important component for science communicators to consider. Additionally,
we acknowledge that TikTok's recommendation algorithm may change over time,
although we do not anticipate such significant changes would occur in such a short amount of time that it would invalidate our results. Future studies will
benefit from continued analysis of video content as well as a more
qualitative evaluation of the impact and effectiveness of the science
communication.</p>
      <p id="d1e2571">We thus recommend the following for the best chances of high reach and
engagement with science communication on TikTok.
<list list-type="bullet"><list-item>
      <p id="d1e2576">Produce lecture-style videos using green screen and image overlay effects that are approximately 60 s or longer in duration.</p></list-item><list-item>
      <p id="d1e2580">Produce demonstration or experiment-style videos that are <inline-formula><mml:math id="M117" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 30 s in duration.</p></list-item><list-item>
      <p id="d1e2591">Choose video topics that can be related to recent newsworthy events or are tied to a specific place or location.</p></list-item><list-item>
      <p id="d1e2595">Include gender-related topics to reach a wider female audience.</p></list-item><list-item>
      <p id="d1e2599">Select hashtags that are relevant to the video topic, especially ones
including locations to provide additional algorithmic video context.</p></list-item><list-item>
      <p id="d1e2603">Pay attention to videos that receive the majority of their views from the <italic>For You</italic> page and work to replicate those qualities.</p></list-item></list></p>
</sec>
</sec>
<sec id="Ch1.S8">
  <label>8</label><title>Future plans</title>
      <p id="d1e2618">As we continue to run the Terra Explore account, we plan to expand the scope of the geoscience topics that we cover and to continue analyses of how to
best maximize reach and engagement from these videos. While the geoscience
content of our videos has been largely focused on earthquakes thus far, we
plan to include discussions of other natural hazards like volcanic eruptions, floods, and landslides. This expansion segues into an opportunity to
produce content related to climate and climate change. Encouraging science
curiosity helps to neutralize polarization on topics like climate change
(Kahan et al., 2017), and TikTok provides an ideal platform to promote such
curiosity.</p>
      <p id="d1e2621">While all of our videos analyzed thus far were created in home offices, we
believe producing content from the field could generate high video views and user engagement. Instead of merely showing photos, field-based videos could
present and highlight seismic or GPS instruments and their installation and
maintenance, geologic features you can see in the field, or how drones are
used in geoscience, among many other possibilities. Five field-based videos
that we created between April to September 2022, after our analytical study
period, received between 3620 and 779 100 views on TikTok. Given the more
costly and time-intensive nature of producing videos on location, a full
analysis of their metrics would be necessary to see if they have higher
reach and engagement than similar videos produced in home offices.</p>
      <p id="d1e2624">To better reach target audiences, like young women and girls, and to improve
the overall diversity of scientists shown in popular media, we would like to produce a “Meet the Scientist” video series to highlight female and
non-binary geoscientists, sharing both their research and experiences. These
types of videos would complement and expand on the IF/THEN “Women in
Geoscience” video series available on the IRIS YouTube channel that
features women in the geosciences sharing their work and interests. The
geosciences remain one of the least racially and ethnically diverse out of
all the STEM fields (Bernard and Cooperdock, 2018), and “Meet the
Scientist” interviews featuring underrepresented scientists on TikTok will
help to increase the visibility of minoritized scientists and to show the broad diversity of scientists and careers that exist in geoscience.</p>
</sec>
<sec id="Ch1.S9" sec-type="conclusions">
  <label>9</label><title>Conclusions</title>
      <p id="d1e2635">TikTok offers significant potential for the reach and growth of science
communication content. TikTok functions primarily on a model of algorithmic
recommendations rather than a follower-based model, which provides a low
barrier to entry for new creators. Although the exact nature of the TikTok
algorithm is unknown and therefore somewhat challenging terms of in reaching target
audiences, new age and gender analytics that were released in August 2022
may provide additional insight into the demographics that are engaging with
content. In the assessment of our geoscience content, lecture-style videos
that were approximately one-minute long yielded the highest reach and
engagement. Video topics that discussed recent newsworthy events (i.e.,
earthquakes) or that discussed specific location-based geology resulted in the
highest reach and engagement. Shorter-form content (<inline-formula><mml:math id="M118" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 30 s)
did not perform as well, unless it was a demonstration-style video, which
would be more analogous to the physics and chemistry experiments that are
commonly seen on TikTok. Unlike other platforms, user behavior on TikTok
does not entail searching for or browsing specific hashtags to view
educational science videos. Rather, videos are predominantly viewed via the
<italic>For You</italic> page, and hashtags provide a way to categorize and describe content – information which may or may not be used by TikTok's AI to show
the video to audiences. Although this study focuses on the geosciences, we
anticipate that our findings will be broadly applicable to other scientific
disciplines and will allow  science communicators to achieve success in reaching broad
audiences.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e2652">The video data analyzed in this study are accessible at <ext-link xlink:href="https://doi.org/10.6084/m9.figshare.20069333" ext-link-type="DOI">10.6084/m9.figshare.20069333</ext-link> (Zawacki, 2022).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2659">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/gc-5-363-2022-supplement" xlink:title="pdf">https://doi.org/10.5194/gc-5-363-2022-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2668">The Terra Explore videos analyzed here were created by EEZ and WB as well as by SJ. DJC provided project administration and coordination. EEZ collected and analyzed the data and wrote the primary draft. WB, SJ, and DJC contributed to the writing, review, and editing.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2674">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="specialsection"><title>Ethical statement</title>
    

      <p id="d1e2682">The data used in this study are largely public, and there is minimal risk to the individual users from this research. While TikTok as a platform may have larger ethical concerns that are beyond the scope of this study, we argue that the data used in this research are ethical.​​​​​​​</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e2688">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2694">We thank two anonymous reviewers for their helpful comments on an earlier
version of this manuscript. We thank Zhiang Chen for assistance with
the correlation analyses. We thank Christopher Crosby for project guidance.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2699">This research has been supported by the National Science Foundation (grant nos. 1724794, 1948997, 1948994, and 1948857).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e2705">This paper was edited by Solmaz Mohadjer and reviewed by two anonymous referees.</p>
  </notes><?xmltex \hack{\newpage}?><ref-list>
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