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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDERM</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Dermatol</journal-id>
      <journal-title>JMIR Dermatology</journal-title>
      <issn pub-type="epub">2562-0959</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v7i1e53373</article-id>
      <article-id pub-id-type="pmid">38587890</article-id>
      <article-id pub-id-type="doi">10.2196/53373</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The New Media Landscape and Its Effects on Skin Cancer Diagnostics, Prognostics, and Prevention: Scoping Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Dellavalle</surname>
            <given-names>Robert</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Southwell</surname>
            <given-names>Brian</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Guo</surname>
            <given-names>William</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Haff</surname>
            <given-names>Priscilla L</given-names>
          </name>
          <degrees>BS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>McGovern Medical School</institution>
            <institution>The University of Texas Health Science Center at Houston</institution>
            <addr-line>6431 Fannin</addr-line>
            <addr-line>Houston, TX, 77030</addr-line>
            <country>United States</country>
            <phone>1 2108678712</phone>
            <email>priscilla.l.haff@uth.tmc.edu</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0009-2824-1985</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Jacobson</surname>
            <given-names>Alli</given-names>
          </name>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0004-7070-0640</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Taylor</surname>
            <given-names>Madison M</given-names>
          </name>
          <degrees>BSA</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0002-9493-2468</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Schandua</surname>
            <given-names>Hayden P</given-names>
          </name>
          <degrees>BS</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0000-5285-1833</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Farris</surname>
            <given-names>David P</given-names>
          </name>
          <degrees>MSIS</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9224-9270</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Doan</surname>
            <given-names>Hung Q</given-names>
          </name>
          <degrees>MD, PhD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4715-0562</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Nelson</surname>
            <given-names>Kelly C</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5042-7366</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>McGovern Medical School</institution>
        <institution>The University of Texas Health Science Center at Houston</institution>
        <addr-line>Houston, TX</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Cancer  Prevention Research Training Program</institution>
        <addr-line>Houston, TX</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Davidson College</institution>
        <addr-line>Davidson, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>University of Texas MD Anderson Cancer Center</institution>
        <addr-line>Houston, TX</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Priscilla L Haff <email>priscilla.l.haff@uth.tmc.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>8</day>
        <month>4</month>
        <year>2024</year>
      </pub-date>
      <volume>7</volume>
      <elocation-id>e53373</elocation-id>
      <history>
        <date date-type="received">
          <day>9</day>
          <month>10</month>
          <year>2023</year>
        </date>
        <date date-type="rev-request">
          <day>11</day>
          <month>12</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>1</day>
          <month>2</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>6</day>
          <month>2</month>
          <year>2024</year>
        </date>
      </history>
      <copyright-statement>©Priscilla L Haff, Alli Jacobson, Madison M Taylor, Hayden P Schandua, David P Farris, Hung Q Doan, Kelly C Nelson. Originally published in JMIR Dermatology (http://derma.jmir.org), 08.04.2024.</copyright-statement>
      <copyright-year>2024</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Dermatology, is properly cited. The complete bibliographic information, a link to the original publication on http://derma.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://derma.jmir.org/2024/1/e53373" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>The wide availability of web-based sources, including social media (SM), has supported rapid, widespread dissemination of health information. This dissemination can be an asset during public health emergencies; however, it can also present challenges when the information is inaccurate or ill-informed. Of interest, many SM sources discuss cancer, specifically cutaneous melanoma and keratinocyte cancers (basal cell and squamous cell carcinoma).</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>Through a comprehensive and scoping review of the literature, this study aims to gain an actionable perspective of the state of SM information regarding skin cancer diagnostics, prognostics, and prevention.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>We performed a scoping literature review to establish the relationship between SM and skin cancer. A literature search was conducted across MEDLINE, Embase, Cochrane Library, Web of Science, and Scopus from January 2000 to June 2023. The included studies discussed SM and its relationship to and effect on skin cancer.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Through the search, 1009 abstracts were initially identified, 188 received full-text review, and 112 met inclusion criteria. The included studies were divided into 7 groupings based on a publication’s primary objective: misinformation (n=40, 36%), prevention campaign (n=19, 17%), engagement (n=16, 14%), research (n=12, 11%), education (n=11, 10%), demographics (n=10, 9%), and patient support (n=4, 3%), which were the most common identified themes.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Through this review, we gained a better understanding of the SM environment addressing skin cancer information, and we gained insight into the best practices by which SM could be used to positively influence the health care information ecosystem.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>social media</kwd>
        <kwd>communication</kwd>
        <kwd>skin cancer</kwd>
        <kwd>melanoma</kwd>
        <kwd>misinformation</kwd>
        <kwd>scoping review</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>As of April 2023, 4.8 billion people, or 59.9% of the world’s population, were identified as social media (SM) users [<xref ref-type="bibr" rid="ref1">1</xref>]. In the age of omnipresent internet exposure, more people than ever receive and seek medical information from SM. More than 80% of US state health departments have an SM account, and SM has become a safe space for patients with cancer to discuss diagnoses and seek education [<xref ref-type="bibr" rid="ref2">2</xref>]. Over 80% of patients with cancer reported using SM to connect with peers, and over 77% of patients with cancer cited the internet as the most important source of medical information [<xref ref-type="bibr" rid="ref3">3</xref>]. When compared to legacy public health forums, SM and the new media landscape carry both promise and risk. While accurate information can be rapidly distributed, so can misinformation, and this spread happens at a pace and scale that is inconceivable to prior communication environments [<xref ref-type="bibr" rid="ref4">4</xref>].</p>
      <p>Our scoping review focuses specifically on SM information and skin cancer, including melanoma and keratinocyte cancer (basal cell and squamous cell carcinoma). While keratinocyte cancers are more common, melanoma carries a higher risk of mortality [<xref ref-type="bibr" rid="ref5">5</xref>] and is projected to be the second most common cancer in the United States by 2040 [<xref ref-type="bibr" rid="ref6">6</xref>]. Melanoma offers opportunities for primary, secondary, and tertiary prevention. Campaigns for ultraviolet exposure reduction, skin cancer risk factors education, and guideline-concordant care awareness are all uniquely positioned for SM-based efforts. In this review, we explore how SM interfaces with skin cancer information and dissect the current research landscape as it pertains to this topic.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>Scoping reviews are exploratory studies that aim to examine the extent of research performed on a given topic [<xref ref-type="bibr" rid="ref7">7</xref>]. While similar to systematic reviews, scoping reviews differ in that they are broad and do not synthesize data via a meta-analysis. Scoping reviews are useful because they provide an organized description of the available literature, particularly with topics that have been heavily studied from various perspectives [<xref ref-type="bibr" rid="ref8">8</xref>].</p>
      </sec>
      <sec>
        <title>Search Strategy</title>
        <p>A medical research librarian (DPF) developed a systematic search for relevant papers in MEDLINE, Embase, Cochrane Library, Web of Science, and Scopus covering January 1, 2000, to June 9, 2023. Publications were not limited by geography. The search was limited to texts that had full-text availability in the English language and discussion of the new communication environments and skin cancer. The search used controlled vocabulary and language terms selected to include SM and skin cancer. Search sensitivity was tested by the ability of preliminary search strategies to include known, relevant citations. The full search strategy can be found in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>.</p>
      </sec>
      <sec>
        <title>Eligibility Criteria</title>
        <p>The inclusion and exclusion criteria are listed in <xref ref-type="boxed-text" rid="box1">Textbox 1</xref>. Studies that were eligible for inclusion investigated the connection between skin cancer and SM. The search was conducted between January 1, 2000, and June 9, 2023, to limit the number of papers and to only include records that were relevant to this era of new communication, after the SM boom.</p>
        <boxed-text id="box1" position="float">
          <title>Inclusion and exclusion criteria.</title>
          <p>
            <bold>Inclusion criteria</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Melanoma</p>
            </list-item>
            <list-item>
              <p>Keratinocyte cancer (Basal cell carcinoma, Squamous cell carcinoma)</p>
            </list-item>
            <list-item>
              <p>X (Twitter)</p>
            </list-item>
            <list-item>
              <p>Facebook</p>
            </list-item>
            <list-item>
              <p>Instagram</p>
            </list-item>
            <list-item>
              <p>TikTok</p>
            </list-item>
            <list-item>
              <p>YouTube</p>
            </list-item>
            <list-item>
              <p>Pinterest</p>
            </list-item>
            <list-item>
              <p>Other forms of new media</p>
            </list-item>
            <list-item>
              <p>Tanning ideation</p>
            </list-item>
            <list-item>
              <p>Skin cancer prevention</p>
            </list-item>
          </list>
          <p>
            <bold>Exclusion criteria</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Conference abstracts</p>
            </list-item>
            <list-item>
              <p>No full-text availability</p>
            </list-item>
            <list-item>
              <p>No translation to English language</p>
            </list-item>
            <list-item>
              <p>Unfinished study</p>
            </list-item>
            <list-item>
              <p>Artificial intelligence technology rather than social media</p>
            </list-item>
            <list-item>
              <p>Teledermatology rather than social media</p>
            </list-item>
            <list-item>
              <p>Not dermatologic information</p>
            </list-item>
            <list-item>
              <p>No skin cancer information</p>
            </list-item>
            <list-item>
              <p>No social media information</p>
            </list-item>
          </list>
        </boxed-text>
      </sec>
      <sec>
        <title>Data Extraction</title>
        <p>Two authors (PLH and AJ) independently screened the titles and abstracts of each citation produced by the search strategy using the inclusion and exclusion criteria to decide which papers would progress to full-text review. Each record was reviewed twice, and, if a conflict was found, the lead investigator (KCN) would make the final decision. The full texts of all potentially eligible records were then analyzed independently by the investigators. Disagreements were resolved by reexamination and discussion. A flowchart was developed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines to demonstrate the study selection process (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>) [<xref ref-type="bibr" rid="ref9">9</xref>]. Author, publication year, study type, geographic location, platform investigated, principal findings, and STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) score were extracted from each included publication. A copy of the STROBE score criteria can be found in <xref ref-type="supplementary-material" rid="app3">Multimedia Appendix 3</xref> [<xref ref-type="bibr" rid="ref10">10</xref>]. The STROBE scoring system was used to ensure this review included high-quality studies.</p>
        <p>The included publications were divided into 7 categories based on the primary evaluated aspect of the study: engagement, campaigns, demographics, research, education, patient support, and misinformation. To be included in the engagement category, a publication must discuss an attribute of interaction, participation, connection, and involvement designed to illicit a result [<xref ref-type="bibr" rid="ref11">11</xref>]. Engagement can be understood as the likes, comments, and shares posts acquire. Campaigns include publications that describe a new media intervention designed to promote primary or secondary skin cancer prevention and its effect on the population. A publication was included in the demographics category if it discussed demographic differences in skin cancer SM advertising. The research category encompasses papers that demonstrate how SM aids in skin cancer research recruitment. A publication in the education category must discuss a way new media communication can be used for physician-to-physician or physician-to-patient skin cancer education. The patient support category includes records that demonstrate how the new communication environment lends itself to supporting patients with skin cancer. Scientific misinformation is defined as misleading information relative to the best available scientific evidence [<xref ref-type="bibr" rid="ref12">12</xref>]. Therefore, to be included in the misinformation section, a publication must discuss false information dissemination or poor information quality regarding skin cancer across SM platforms.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Overview</title>
        <p>We identified 1009 records through the initial search, with the removal of 556 duplicate records via Covidence (Veritas Health Innovation; <xref rid="figure1" ref-type="fig">Figure 1</xref>). Two investigators (PLH and AJ) independently screened the remaining studies’ titles and abstracts, with 188 records receiving full-text review. After full-text review, 76 were excluded through dual reviewer evaluation. Records with contradictory decisions were sent to a third-party reviewer (KCN), who provided the deciding vote. The included studies were divided into 7 groupings based on the publication’s primary objective: misinformation (n=40, 36%), prevention campaign (n=19, 17%), engagement (n=16, 14%), research (n=12, 11%), education (n=11, 10%), demographics (n=10, 9%), and patient support (n=4, 3%), which were the most common identified themes. The data were extracted from each record into a characteristics table (<xref ref-type="supplementary-material" rid="app4">Multimedia Appendix 4</xref> [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref123">123</xref>]).</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram for study inclusion.</p>
          </caption>
          <graphic xlink:href="derma_v7i1e53373_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Engagement</title>
        <p>X (previously known as Twitter) has enormous potential for public health engagement; of the 112 included papers, 16 were included in the category of engagement [<xref ref-type="bibr" rid="ref13">13</xref>]. X is more public than Instagram or Facebook and is used more often than other SM platforms to promote scientific papers and increase interactions with scientific literature [<xref ref-type="bibr" rid="ref14">14</xref>]. On X, the top hashtag for skin cancer is #melanoma, and the key drivers of discussion are patient-focused entities [<xref ref-type="bibr" rid="ref15">15</xref>]. Posts using shock or humor generate the most likes or comments, and informative posts are most likely to be shared [<xref ref-type="bibr" rid="ref16">16</xref>]. Engagement with posts about skin cancer correlates not with skin cancer incidence in a given geography, but instead with SM literacy of the exposed users [<xref ref-type="bibr" rid="ref17">17</xref>]. To optimize the impact of X as a tool for skin cancer engagement, more information is needed to increase message dissemination and uniformity [<xref ref-type="bibr" rid="ref18">18</xref>].</p>
        <p>TikTok is a rapidly growing new media platform with over 755 million users in 2022 [<xref ref-type="bibr" rid="ref124">124</xref>]. The most popular skin cancer content on TikTok includes videos with on-screen text and health care attire, such as a white coat or scrubs [<xref ref-type="bibr" rid="ref19">19</xref>]. Skin cancer is among the top 8 dermatological TikTok topics, with patient testimonies being the most common format, followed by educational videos and clinical demonstrations [<xref ref-type="bibr" rid="ref20">20</xref>].</p>
        <p>Most Instagram content addressing skin cancer originates from influencers and celebrities, not dermatologists [<xref ref-type="bibr" rid="ref21">21</xref>]. Instagram offers a venue for patients to share their skin cancer journey (often with the #skincancerawareness hashtag [<xref ref-type="bibr" rid="ref22">22</xref>]) and increase users’ exposure to skin cancer information. Instagram posts referencing negative emotions (fear and anger), physical consequences, technical treatment information, or real skin cancer images increase audience interactivity, while positive posts have no effect on engagement [<xref ref-type="bibr" rid="ref23">23</xref>].</p>
        <p>This trend continues with Facebook, where the most-used technique to increase audience engagement is inducing fear [<xref ref-type="bibr" rid="ref24">24</xref>]. Like X, Facebook posts with a humorous element increase viewer satisfaction and attention [<xref ref-type="bibr" rid="ref25">25</xref>]. One advertising study compared Facebook user engagement of a parody video, a celebrity video, or a fact-based video regarding skin cancer and found engagement to be the highest for the parody video [<xref ref-type="bibr" rid="ref25">25</xref>]. Facebook also allows individuals to post their personal skin cancer narratives. For example, Tawny Willoughby went viral due to a graphic selfie of her significant facial inflammation during treatment with topical 5% 5-fluorouracil: the post received over 50,000 views and was correlated to a 162% increase in internet search queries about skin cancer [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
        <p>Increased user interactivity correlates with enhanced engagement with the information. This trend is consistent across platforms but is specifically noticed in support groups and on websites. Support groups are particularly effective if they are larger and have active, web-based comment sections [<xref ref-type="bibr" rid="ref27">27</xref>], whereas the interactivity of skin cancer websites promotes an individual’s intention to use sun protection [<xref ref-type="bibr" rid="ref28">28</xref>].</p>
      </sec>
      <sec>
        <title>Prevention Campaigns</title>
        <p>The category of prevention campaigns encompassed 19 of 112 included papers. The YouTube video “Dear 16-year-old Me” is a prime example of a successful SM prevention campaign. This video uses mixed emotion methods to address the importance of sun protection, which amplifies the impact of the message by evoking compassion to increase positive social behaviors [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>]. After viewing the video, surveys demonstrated increased viewer intent to pursue a professional skin examination [<xref ref-type="bibr" rid="ref31">31</xref>]. The video made a compounding impact when presented alongside lighthearted face-aging software [<xref ref-type="bibr" rid="ref32">32</xref>].</p>
        <p>Other YouTube skin cancer awareness campaigns include the “It’s a beautiful day ... for Cancer” and “Don’t be a Lobster.” The “It’s a beautiful day ... for Cancer” video was an ironic music video that spurred conversation of sun protection behaviors: it received 250,000 views, and 44% of viewers reported changed opinions on sun protection [<xref ref-type="bibr" rid="ref31">31</xref>]. The “Don’t be a Lobster” campaign consisted of an anonymous YouTube video highlighting the replacement of the red dragon of the Welsh flag with a red lobster. This anonymity and clever placement of the red lobster image quickly gained media attention and started the viral campaign. The campaign’s effectiveness was quantified by Google Trends, showing a 10% increase in skin cancer and a 300% increase in “sun cream” searches [<xref ref-type="bibr" rid="ref33">33</xref>].</p>
        <p>X’s #dontfryday made a significant impact globally, with over 12 million impressions. The most influential posts were sent out by celebrities. One study found that while noncelebrity individuals contributed the most content for the campaign, celebrities made a monumental impact, with only 18 contributors generating 8,735,549 impressions [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>].</p>
        <p>As seen with #dontfryday, celebrity influence plays a huge role in enhancing the success of a prevention campaign. Actor Hugh Jackman has posted his skin cancer experience on SM. Each time he posts, the search “skin cancer” spikes on Google [<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. Like Jackman, Dayanara Torres, a former Miss Universe, used her platform to discuss her diagnosis of melanoma. One dermatology clinic in New Jersey noted that after Torres’ announcement, many Hispanic patients came to their clinic specifically with skin cancer screening concerns rather than their usual motivating factors [<xref ref-type="bibr" rid="ref38">38</xref>]. Now, Torres partners with the Melanoma Research Foundation as a spokesperson for the #GetNaked awareness campaign, promoting monthly self-screenings and yearly dermatologist skin examinations [<xref ref-type="bibr" rid="ref125">125</xref>]. In Portugal, athletes distributed skin cancer screening messages, and by the end of the study, more individuals were screened than in the previous years [<xref ref-type="bibr" rid="ref39">39</xref>].</p>
        <p>SM can perpetuate the tanned ideology, but with targeted interventions, this risk can be mitigated. Appearance-focused interventions, or interventions that use aging, wrinkles, and sunspots in their educational material, successfully reduced Instagram users’ positive associations with SM images featuring people with tanned skin [<xref ref-type="bibr" rid="ref40">40</xref>]. Increasing SM literacy can also decrease the internalization of the tanned ideology. SM literacy is the ability of a user to evaluate and critically analyze posts, which aims to promote greater skepticism of appearance-related media [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. The self-persuasion theory is another method that can predict healthy behaviors and enhance skin protection intentions: individuals who share skin protection information predictably use those same practices [<xref ref-type="bibr" rid="ref43">43</xref>-<xref ref-type="bibr" rid="ref45">45</xref>].</p>
        <p>A Danish antisunbed campaign focused on decreasing tanning bed use among adolescents, generating intense public debate, and increasing legislative support [<xref ref-type="bibr" rid="ref46">46</xref>]. With the new legislation, a parent must sign off on indoor tanning if a child is younger than 18 years. Targeting educational messages to mothers is a promising approach, as mothers who are more educated about the dangers of indoor tanning and equipped to discuss those dangers are less likely to allow their children to use tanning beds [<xref ref-type="bibr" rid="ref47">47</xref>].</p>
      </sec>
      <sec>
        <title>Demographics</title>
        <p>In total, 10 of the 112 papers were categorized in the demographics group. The new communication environment offers an opportunity for skin cancer prevention but primarily targets younger demographics: the success of SM skin cancer prevention campaigns decreases as participant age increases [<xref ref-type="bibr" rid="ref48">48</xref>-<xref ref-type="bibr" rid="ref50">50</xref>]. However, many young adults consider SM prevention messages to be uninfluential, because they are lost in the influx of other information [<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref52">52</xref>].</p>
        <p>One underrepresented demographic is individuals with darker-pigmented skin, as many skin cancer educational and prevention messages do not engage these populations. For example, 97% of skin cancer pins on Pinterest were of white skin individuals [<xref ref-type="bibr" rid="ref53">53</xref>]. Similarly, a review demonstrated that 100% of skin cancers depicted on SM advertisements had a background of Fitzpatrick type I or II skin [<xref ref-type="bibr" rid="ref54">54</xref>]. SM representation is critical, as a study that interviewed 27 African American individuals found SM to be a primary means by which people with darker pigmentation are exposed to public health messages related to skin cancer [<xref ref-type="bibr" rid="ref55">55</xref>]. Participants also stated it would be important for skin cancer awareness messages on SM to feature Black communities to feel that the information is relevant to them [<xref ref-type="bibr" rid="ref55">55</xref>].</p>
        <p>Sexual orientation and gender identification also have a role in engagement and prevention advertising [<xref ref-type="bibr" rid="ref56">56</xref>]. Indoor tanning motivations in sexual minority men have not been investigated; thus, targeted prevention campaigns are lacking. Compounding, sexual minority men are specifically targeted by tanning salons through SM marketing, further encouraging deleterious tanning behaviors in this population [<xref ref-type="bibr" rid="ref57">57</xref>].</p>
      </sec>
      <sec>
        <title>Research Recruitment</title>
        <p>In total, 12 of the included 112 papers were designated as research recruitment, collecting a total of 2912 patient responses [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref58">58</xref>-<xref ref-type="bibr" rid="ref63">63</xref>]. By distributing surveys through SM platforms, scientists can recruit patients with rare skin cancers (such as dermatofibroma sarcoma protuberans [<xref ref-type="bibr" rid="ref58">58</xref>]) and distribute research recruitment efforts globally. Additionally, SM can be used in studies to assess patients’ health-related quality of life. This concept was validated in one such study, which showed the alignment of current electronic health record data to SM data mining of symptoms that are common for patients receiving skin cancer treatment [<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref65">65</xref>]. SM can also support data crowdsourcing to help physicians understand the patient experience and identify high-risk individuals for prevention [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]. New communication technology offers a unique opportunity for physicians to directly communicate with and understand their patients on a deeper level [<xref ref-type="bibr" rid="ref68">68</xref>].</p>
      </sec>
      <sec>
        <title>Education</title>
        <p>Education through new media resources allows dermatologists to have a more substantial global reach in skin cancer prevention, which is what was primarily discussed in the 11 papers included within this category. In the past, studies have shown that the presence of dermatology-related content from reputable journals on SM is limited [<xref ref-type="bibr" rid="ref69">69</xref>-<xref ref-type="bibr" rid="ref72">72</xref>]. It is effective to use social networking sites to provide an avenue for health care providers to communicate, share knowledge, and discuss care [<xref ref-type="bibr" rid="ref73">73</xref>]. For example, Doximity is a platform for health professionals to freely discuss topics such as skin cancer. Dermatologists can use Doximity to share skin cancer awareness messages, prevention strategies, or scientific papers with the broader physician community. Anyone can then share information from Doximity to SM sites to reach the wider patient population [<xref ref-type="bibr" rid="ref74">74</xref>].</p>
        <p>Similarly, physicians share posts during the American Society of Clinical Oncology meeting. From 2011 to 2012, “melanoma” was a trending term at the American Society of Clinical Oncology conference, and attending physicians dispersed the latest scientific research over X [<xref ref-type="bibr" rid="ref75">75</xref>]. Physicians can also connect with patients and teach proper skin self-examination through SM [<xref ref-type="bibr" rid="ref76">76</xref>]. One study noted that 79% of patients had increased confidence in performing skin self-examination after watching eHealth YouTube videos, which proved superior to classic methods such as informational brochures [<xref ref-type="bibr" rid="ref77">77</xref>].</p>
        <p>Education strategies using beauty technicians can also serve as an intervention tactic for skin cancer. For example, the Pele Alerta Project built a website to assist beauty professionals in the early detection of skin cancers [<xref ref-type="bibr" rid="ref78">78</xref>]; in addition, tattoo artists were targeted to provide skin protection information in their aftercare instructions [<xref ref-type="bibr" rid="ref79">79</xref>]. Each educational opportunity gives patients a greater chance of catching their skin cancer early.</p>
      </sec>
      <sec>
        <title>Patient Support</title>
        <p>In total, 4 of the 112 included papers discussed social media and its use in patient support. Patients often use SM to share their firsthand experiences, such as skin cancer excision procedures, to help provide realistic expectations for other patients [<xref ref-type="bibr" rid="ref80">80</xref>]. They also use SM to discuss the effects of skin cancer on their quality of life. Mental health struggles and uncertainty were the 2 most common themes for forums for patients with skin cancer [<xref ref-type="bibr" rid="ref81">81</xref>], and emotional burden, treatment, and diagnosis were common conversation topics throughout these support groups [<xref ref-type="bibr" rid="ref82">82</xref>]. Over 52% of melanoma Facebook groups are used to support patients [<xref ref-type="bibr" rid="ref83">83</xref>].</p>
      </sec>
      <sec>
        <title>Misinformation</title>
        <p>Finally, the majority of included records discussed misinformation, with 40 of 112 papers belonging to this category. Participants in one study viewed a misinformation video and afterward had less intention to wear sunscreen, demonstrating the detrimental effect of misinformation. Comments posted correcting the misinformation in the video showed no significant increase in attitudes regarding sunscreen use [<xref ref-type="bibr" rid="ref84">84</xref>].</p>
        <p>Many misinformation studies verify a positive correlation between SM use and indoor tanning behaviors [<xref ref-type="bibr" rid="ref85">85</xref>-<xref ref-type="bibr" rid="ref87">87</xref>]. Not only does SM propagate skin tone dissatisfaction, but it also has provided a place of advertisement for tanning salons. Indoor tanning businesses propagate misleading information to increase their customer base, such as “indoor tanning is a safe way to get vitamin D” [<xref ref-type="bibr" rid="ref88">88</xref>,<xref ref-type="bibr" rid="ref89">89</xref>]. Companies have used “#paleshaming” to bring adolescents to their salons by damaging their self-esteem and motivating their engagement in tanning behaviors [<xref ref-type="bibr" rid="ref90">90</xref>]. Not only do tanning salons use SM for business promotion, but also tanning, in general, is glorified across new media [<xref ref-type="bibr" rid="ref91">91</xref>]. A review of tanning hashtags was conducted for TikTok, Pinterest, YouTube, and X, where 90%, 85%, 68%, and 68.9% of tanning content was positive, respectively [<xref ref-type="bibr" rid="ref92">92</xref>-<xref ref-type="bibr" rid="ref95">95</xref>]. Further research showed that, over a 2-week period, only 2.56% of 154,496 tanning posts on X mentioned skin cancer as a risk [<xref ref-type="bibr" rid="ref96">96</xref>]. In summary, SM propagates indoor tanning behaviors by adding to skin tone dissatisfaction, advertising for tanning salons, and broadcasting a positive attitude toward tanning and sunburn.</p>
        <p>YouTube attracts over 866 million users monthly [<xref ref-type="bibr" rid="ref97">97</xref>]. Multiple studies identified that the current YouTube video landscape is of low quality, reliability, understandability, and actionability [<xref ref-type="bibr" rid="ref98">98</xref>-<xref ref-type="bibr" rid="ref107">107</xref>]. A table with the extrapolated results from each quality analysis study can be found in <xref ref-type="supplementary-material" rid="app5">Multimedia Appendix 5</xref> [<xref ref-type="bibr" rid="ref98">98</xref>-<xref ref-type="bibr" rid="ref107">107</xref>]. While there has been a positive progression in educational content on YouTube from 2014 to 2018 [<xref ref-type="bibr" rid="ref108">108</xref>,<xref ref-type="bibr" rid="ref109">109</xref>], misinformation and low-quality information still plague the viewing streams. For instance, YouTube creators grossly overestimate the relationship between COVID-19 and vitamin D, encouraging tanning behaviors during the pandemic [<xref ref-type="bibr" rid="ref110">110</xref>]. Similarly, multiple studies found blatant misinformation from many YouTube videos regarding alternative therapies, especially concerning “black salve” as a “100% cure for skin cancer” [<xref ref-type="bibr" rid="ref111">111</xref>,<xref ref-type="bibr" rid="ref112">112</xref>]. The largest issue is there is no correlation between the quality of content and the amount of engagement that content receives [<xref ref-type="bibr" rid="ref113">113</xref>]. Even if dermatologists developed high-quality educational videos, users may still engage with lower-quality, inaccurate videos, as YouTube offers no verification or credentialing functionality.</p>
        <p>Like YouTube, many reviewers found a trend of misinformation, high variability, and low readability on websites. The readability scores of sampled skin cancer websites averaged at the high school level, whereas the recommended readability score for medical information is at the seventh-grade level [<xref ref-type="bibr" rid="ref114">114</xref>,<xref ref-type="bibr" rid="ref115">115</xref>].</p>
        <p>Misinformation is found across all SM platforms. A review of skin cancer records across Facebook, X, and Pinterest found that 44.7% of records were imprecise and 20% were confusing [<xref ref-type="bibr" rid="ref116">116</xref>]. The #Stop5G campaign that went viral on X and Facebook broadcasted inaccurate health information, stating that 5G phones were causing skin cancer [<xref ref-type="bibr" rid="ref117">117</xref>]. Longitudinal melanonychia also went viral on TikTok in 2022. Of the 100 videos examined, only 30% of TikTok postings regarding longitudinal melanonychia encouraged patients to see their physician, and the information was of poor quality as seen by the DISCERN score average of 1.58/5 [<xref ref-type="bibr" rid="ref118">118</xref>]. Pinterest portrays a low general risk of skin cancer to its users, recommends alternative medicines twice as often as traditional biomedical treatments, and spreads false sunscreen information [<xref ref-type="bibr" rid="ref119">119</xref>]. Antisunscreen campaigns have become more popular, specifically targeting parents and encouraging homemade sunscreen that is ineffective in protecting the skin [<xref ref-type="bibr" rid="ref120">120</xref>,<xref ref-type="bibr" rid="ref121">121</xref>]. Even skin cancer screening examinations, a well-established early detection intervention, are impacted by misinformation: 25% of screening posts on Pinterest were negative, expressing doubts regarding the merit of skin examinations [<xref ref-type="bibr" rid="ref122">122</xref>]. Facebook support groups may also be poor sources of cancer care information: in one examination of Facebook skin cancer support group comments, 35% of posts had comments that offered medical advice, of which 87% did not align with guideline-concordant care [<xref ref-type="bibr" rid="ref123">123</xref>].</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This review has addressed SM’s positive and negative effects on skin cancer. SM drives most persons’ day-to-day communication and can be a powerful tool for health care leaders to communicate important cancer control information. However, communication via SM also introduces the risk of disseminating misinformation. A critical knowledge gap regarding methods to reduce health misinformation within SM has developed. Studies indicate how increasing interactivity and emotions can increase engagement and success of cancer prevention campaigns. Platforms have the potential to disseminate and gather information quickly and to target patients of many demographics. This review identifies the best practices of SM regarding skin cancer and the drawbacks of the ever-changing information environment to help public health figures use SM in the most productive ways and curb the harmful effects of digital media.</p>
      </sec>
      <sec>
        <title>Best Practices</title>
        <p><xref ref-type="table" rid="table1">Table 1</xref> is a culmination of the most effective and engaging ways for health officials to use SM to discuss skin cancer. New communication strategies have so much potential and, if used properly, could increase awareness of skin cancer. Many of the studies included in this review attempted to understand the most engaging ways for physicians and researchers to use SM for public health purposes. The most effective strategies use interactivity, emotion, and promotion from a public influencer. Through the education of patients, providers, and other technicians, the opportunity for skin cancer to be caught early and in turn treated easily will increase. Physicians can also use SM to educate themselves on the popular complaints of skin cancer treatments and to understand their patients’ questions and concerns. SM opens a new line of communication that will revolutionize the patient-physician relationship. The affordable nature of the platforms along with the ease of information spread would allow physicians or researchers to easily educate individuals on the best ways to protect themselves from skin cancer and to protect patients from other misinformation across new communication platforms. If public health officials apply these best practices on SM, they can encourage skin health and publicize prevention methods.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Best practices demonstrating the best ways to increase audience engagement and the educational benefits of social media.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="400"/>
            <col width="600"/>
            <thead>
              <tr valign="top">
                <td>Objective
                </td>
                <td>Best practices
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Increase engagement
                    </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Interactivity</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Cognitive dissonance</p>
                        </list-item>
                        <list-item>
                          <p>Self-persuasion theory</p>
                        </list-item>
                      </list>
                    </list-item>
                    <list-item>
                      <p>Emotional communication</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Fear</p>
                        </list-item>
                        <list-item>
                          <p>Compassion</p>
                        </list-item>
                        <list-item>
                          <p>Humor</p>
                        </list-item>
                        <list-item>
                          <p>Shock</p>
                        </list-item>
                      </list>
                    </list-item>
                    <list-item>
                      <p>Influential backing</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Celebrities</p>
                        </list-item>
                        <list-item>
                          <p>Physician credibility (white coat)</p>
                        </list-item>
                        <list-item>
                          <p>Legislation blocking indoor tanning</p>
                        </list-item>
                      </list>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Provide beneficial educational content
                    </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Dermatologists to patients</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Self-skin examinations</p>
                        </list-item>
                        <list-item>
                          <p>Prevention information and practices</p>
                        </list-item>
                        <list-item>
                          <p>High-risk behaviors</p>
                        </list-item>
                      </list>
                    </list-item>
                    <list-item>
                      <p>Dermatologists to primary care physicians</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Share the most up-to-date literature</p>
                        </list-item>
                        <list-item>
                          <p>Share best practices for prevention education</p>
                        </list-item>
                      </list>
                    </list-item>
                    <list-item>
                      <p>Dermatologist to another technician</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Hairdressers</p>
                        </list-item>
                        <list-item>
                          <p>Nail technicians</p>
                        </list-item>
                        <list-item>
                          <p>Tattoo artists</p>
                        </list-item>
                      </list>
                    </list-item>
                    <list-item>
                      <p>Patient to dermatologist</p>
                      <list list-type="bullet">
                        <list-item>
                          <p>Understand the effects of treatments and diseases from the patient’s perspective</p>
                        </list-item>
                      </list>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Drawbacks</title>
        <p>Limited statistical data regarding user demographics on SM make developing targeted interventions and drawing clear conclusions from SM data mining incomprehensible [<xref ref-type="bibr" rid="ref126">126</xref>,<xref ref-type="bibr" rid="ref127">127</xref>]. SM research demographics do not accurately represent the entire patient population with skin cancer. This disables researchers in applying SM trends to the general population with skin cancer, specifically regarding gender or higher education distribution (<xref ref-type="table" rid="table2">Table 2</xref>) [<xref ref-type="bibr" rid="ref66">66</xref>].</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>A collection of the studies that used SM to recruit participants, broken down by demographics.</p>
          </caption>
          <table border="1" rules="groups" cellpadding="5" frame="hsides" width="1000" cellspacing="0">
            <col width="200"/>
            <col width="150"/>
            <col width="130"/>
            <col width="130"/>
            <col width="130"/>
            <col width="130"/>
            <col width="130"/>
            <thead>
              <tr valign="top">
                <td/>
                <td>Platform</td>
                <td>Responses, n</td>
                <td>Female participants, n (%)</td>
                <td>Male participants, n (%)</td>
                <td>Age (years), mean (SD)</td>
                <td>Higher education, n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Strome et al [<xref ref-type="bibr" rid="ref61">61</xref>]</td>
                <td>Unspecified</td>
                <td>977</td>
                <td>507 (51.9)</td>
                <td>470 (48.1)</td>
                <td>19.3 (2.4)</td>
                <td>—<sup>a</sup></td>
              </tr>
              <tr valign="top">
                <td>Al-Atif [<xref ref-type="bibr" rid="ref5">5</xref>]</td>
                <td>WhatsApp</td>
                <td>529</td>
                <td>466 (88)</td>
                <td>63 (12)</td>
                <td>36 (10)</td>
                <td>449 (87)</td>
              </tr>
              <tr valign="top">
                <td>Guo et al [<xref ref-type="bibr" rid="ref59">59</xref>]</td>
                <td>WeChat</td>
                <td>135</td>
                <td>70 (51.9)</td>
                <td>65 (48.1)</td>
                <td>55.8 (14.2)</td>
                <td>—</td>
              </tr>
              <tr valign="top">
                <td>Telvizian et al [<xref ref-type="bibr" rid="ref62">62</xref>]</td>
                <td>Facebook and X (Twitter)</td>
                <td>407</td>
                <td>330 (81)</td>
                <td>77 (19)</td>
                <td>36.2(13.2)</td>
                <td>—</td>
              </tr>
              <tr valign="top">
                <td>David et al [<xref ref-type="bibr" rid="ref58">58</xref>]</td>
                <td>Facebook support groups</td>
                <td>214</td>
                <td>169 (78.9)</td>
                <td>45 (21.1)</td>
                <td>40.7 (12.1)</td>
                <td>—</td>
              </tr>
              <tr valign="top">
                <td>Makady et al [<xref ref-type="bibr" rid="ref60">60</xref>]</td>
                <td>Facebook and X (Twitter)</td>
                <td>89</td>
                <td>62 (69.66)</td>
                <td>27 (30.33)</td>
                <td>35-64</td>
                <td>57 (64)</td>
              </tr>
              <tr valign="top">
                <td>Wohlk et al [<xref ref-type="bibr" rid="ref63">63</xref>]</td>
                <td>Facebook</td>
                <td>561</td>
                <td>561 (100)</td>
                <td>0 (0)</td>
                <td>30</td>
                <td>235 (41.8)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>Not available.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>The educational value of prevention campaigns remains in question. When health care leaders or influencers abuse campaign power, it can reduce the public health campaign’s credibility and effectiveness. While some campaigns have proven effective, there are significant demographic discrepancies in which they reach. These campaigns display a bias toward White individuals, and they cannot significantly reach older individuals or young adults due to ineffective communication methods or minimally engaging content. Campaigns require modification with SM changes to remain relevant and reach all demographics.</p>
        <p>The current landscape of skin cancer SM content is poor, and dermatologists’ presence is lacking across platforms. After observing the quality of health care content available to patients, SM cannot be considered a reliable source and should remain unsanctioned by physicians.</p>
        <p>Medical misinformation research has demonstrated that the presence of misinformation has increased with new technology. Medical misinformation was extensively studied following the COVID-19 pandemic, and it was found that patients’ trust in misinformation increased as their opinion on public health and medical institutions became more negative [<xref ref-type="bibr" rid="ref128">128</xref>]. This mistrust may come from the growing influence of misinformation, which may lead patients to resist corrections coming from accredited sources [<xref ref-type="bibr" rid="ref129">129</xref>]. The challenges seen through this scoping review have mirrored other research findings, showing that web-based platforms pose a challenge due to the ease of distribution of medical misinformation. Furthermore, SM provides a platform for users to share information without consequence or peer review and under the protection of freedom of speech. One pilot study discovered that practitioners encountered misinformation regularly across all specialties. Specifically, they found that 92% of the surveyed dermatologists had encountered medical misinformation presented by their patients [<xref ref-type="bibr" rid="ref130">130</xref>].</p>
        <p>While it is accepted that misinformation is generating obstacles for practitioners, the solution is still heavily debated. To combat misinformation, practitioners must have knowledge of what is being spread to provide their patients with high-quality, evidence-based resources. Through our scoping review of the current SM research environment, we may provide clinicians with an actionable understanding of the current state of SM information. In conjunction, SM platforms and new media technology can adapt content algorithms to modify patterns of misinformation exposure. These platforms could additionally develop technologies that allow users to flag problematic content for other SM users [<xref ref-type="bibr" rid="ref128">128</xref>].</p>
      </sec>
      <sec>
        <title>Future Research and Interventions</title>
        <p>Future research is needed to understand the quality of skin cancer content and develop, implement, and evaluate new prevention campaigns on SM platforms, such as TikTok. The current lack of research on TikTok is alarming, considering the frequency of its use among younger patients. SM requires effective and efficient physician engagement methods to reduce misinformation and promote accurate skin cancer content. Increasing dermatologist engagement could ensure high-quality information and establish credible sources for users. As seen through the studies discussing research recruitment, SM data mining offers enormous opportunities to understand the skin cancer landscape on SM. Future studies using data mining related to skin cancer are needed to understand the scope of skin cancer information across new media.</p>
        <p>This review identified specific populations who could benefit from SM interventions, specifically, low SM literate individuals and populations commonly disregarded by prevention campaigns. Increasing SM literacy is one of the most influential methods to ensure users properly digest information and are protected from misinformation. In the past, campaigns and advertisements regarding sun protection have underemphasized people of darker complexion. SM provides an easy, affordable campaign platform to target all audiences. The Dayanara effect [<xref ref-type="bibr" rid="ref38">38</xref>] and Admassu’s use of Grindr to target sexual minority men [<xref ref-type="bibr" rid="ref56">56</xref>] demonstrate the credibility of targeting specific audiences through SM. Both campaigns amplified cognizance of skin cancer in communities demographically underrepresented by prevention campaigns. It is essential to diversify our intervention strategies to educate all people who could be diagnosed with skin cancer.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>As with all literature reviews, ours is reliant on the quality of the previously published data. Other limitations include word choice and database selection, which inadvertently exclude relevant publications. A language bias may be present, as we excluded all papers for which an English full text could not be identified. Interpretation of data, either our own or that of the original author, potentially risks data misinterpretation. The amount of quantitative data available on this topic was limited, and each study’s variables differed. In addition, much of the research currently involving SM’s effects on skin cancer is contradictory. Some studies conclude that SM has immense potential for prevention, while others argue that it is a source of misinformation. This contradiction was often due to study design or sampling bias by the original authors.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>New communication technology represents both an opportunity to improve public health practices and an obstacle for practitioners to overcome. The full potential of SM has yet to be reached, and health care leaders can make these platforms educational and productive regarding skin cancer prevention. Every day users are at risk for exposure to misinformation, which can decrease their trust in evidence-based medicine and increase their intentions to engage in harmful skin behaviors. This review uncovered the importance of collaboration between health care and SM industries to develop techniques to decrease the spread of misinformation. As SM becomes ubiquitous in society, developing quality strategies that break through and reach target populations becomes essential. Establishing a symbiotic relationship between public health officials and SM communication enables new communication technologies to be used as an accurate source of skin cancer information and could prevent harmful behaviors.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Search strategy.</p>
        <media xlink:href="derma_v7i1e53373_app1.pdf" xlink:title="PDF File  (Adobe PDF File), 84 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist.</p>
        <media xlink:href="derma_v7i1e53373_app2.docx" xlink:title="DOCX File , 28 KB"/>
      </supplementary-material>
      <supplementary-material id="app3">
        <label>Multimedia Appendix 3</label>
        <p>STROBE score worksheet used for scoring included papers (scores can be found in Multimedia Appendix 3) [<xref ref-type="bibr" rid="ref10">10</xref>].</p>
        <media xlink:href="derma_v7i1e53373_app3.pdf" xlink:title="PDF File  (Adobe PDF File), 15 KB"/>
      </supplementary-material>
      <supplementary-material id="app4">
        <label>Multimedia Appendix 4</label>
        <p>Table of characteristics of all included records.</p>
        <media xlink:href="derma_v7i1e53373_app4.pdf" xlink:title="PDF File  (Adobe PDF File), 167 KB"/>
      </supplementary-material>
      <supplementary-material id="app5">
        <label>Multimedia Appendix 5</label>
        <p>Ten different studies evaluating YouTube videos for quality (DISCERN, Journal of the American Medical Association, and General Quality Score), understandability (Patient Education Management Assessment Tool-Understandability), and actionability (Patient Education Management Assessment Tool-Actionability) of videos on skin cancer topics.</p>
        <media xlink:href="derma_v7i1e53373_app5.pdf" xlink:title="PDF File  (Adobe PDF File), 102 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">SM</term>
          <def>
            <p>social media</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">STROBE</term>
          <def>
            <p>Strengthening the Reporting of Observational Studies in Epidemiology</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The research described was supported in part by a cancer prevention educational award for PLH supported by the National Cancer Institute (R25 CA056452, Shine Chang, PhD, Principal Investigator).</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>PLH wrote the paper, performed data extraction, developed all figures and tables, and conducted analysis for the development of discussion and conclusions. AJ did data extraction and collection. MT edited the paper and assisted in review. HS edited the paper. DPF performed the literature search. KCN served as principal investigator, project oversight, data collection, writing, and editing the paper.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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