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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">JMIR</journal-id>
            <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
            <journal-title>Journal of Medical Internet Research</journal-title>
            <issn pub-type="epub">14388871</issn>
            <publisher>
                <publisher-name>JMIR Publications Inc.</publisher-name>
                <publisher-loc>Toronto, Canada</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">v16i5e117</article-id>
            <article-id pub-id-type="pmid">24784982</article-id>
            <article-id pub-id-type="doi">10.2196/jmir.3229</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Original Paper</subject>
                </subj-group>
                <subj-group subj-group-type="article-type">
                    <subject>Original Paper</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Using Online Social Media for Recruitment of Human Immunodeficiency Virus-Positive Participants: A Cross-Sectional Survey</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="editor">
                    <name>
                        <surname>Eysenbach</surname>
                        <given-names>Gunther</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Kwong</surname>
                        <given-names>Jeff</given-names>
                    </name>
                </contrib>
                <contrib contrib-type="reviewer">
                    <name>
                        <surname>Koo</surname>
                        <given-names>Malcolm</given-names>
                    </name>
                </contrib>
            </contrib-group>
            <contrib-group>
                <contrib contrib-type="author" id="contrib1">
                    <name name-style="western">
                        <surname>Yuan</surname>
                        <given-names>Patrick</given-names>
                    </name>
                    <degrees>BA</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib2">
                    <name name-style="western">
                        <surname>Bare</surname>
                        <given-names>Michael G</given-names>
                    </name>
                    <degrees>MPH</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib3">
                    <name name-style="western">
                        <surname>Johnson</surname>
                        <given-names>Mallory O</given-names>
                    </name>
                    <degrees>PhD</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                </contrib>
                <contrib contrib-type="author" id="contrib4" corresp="yes">
                    <name name-style="western">
                        <surname>Saberi</surname>
                        <given-names>Parya</given-names>
                    </name>
                    <degrees>PharmD, MAS</degrees>
                    <xref rid="aff1" ref-type="aff">1</xref>
                    <address>
                        <institution>Center for AIDS Prevention Studies</institution>
                        <institution>Department of Medicine</institution>
                        <institution>University of California, San Francisco</institution>
                        <addr-line>Box 0886</addr-line>
                        <addr-line>San Francisco, CA, 94122</addr-line>
                        <country>United States</country>
                        <phone>1 415 597 8177</phone>
                        <fax>1 415 597 9213</fax>
                        <email>parya.saberi@ucsf.edu</email>
                    </address>
                </contrib>
            </contrib-group>
            <aff id="aff1">
                <sup>1</sup>
                <institution>Center for AIDS Prevention Studies</institution>
                <institution>Department of Medicine</institution>
                <institution>University of California, San Francisco</institution>
                <addr-line>San Francisco, CA</addr-line>
                <country>United States</country>
            </aff>
            <author-notes>
                <corresp>Corresponding Author: Parya Saberi <email>parya.saberi@ucsf.edu</email>
                </corresp>
            </author-notes>
            <pub-date pub-type="collection">
                <month>05</month>
                <year>2014</year>
            </pub-date>
            <pub-date pub-type="epub">
                <day>01</day>
                <month>05</month>
                <year>2014</year>
            </pub-date>
            <volume>16</volume>
            <issue>5</issue>
            <elocation-id>e117</elocation-id>
            <!--history from ojs - api-xml-->
            <history>
                <date date-type="received">
                    <day>06</day>
                    <month>01</month>
                    <year>2014</year>
                </date>
                <date date-type="rev-request">
                    <day>31</day>
                    <month>01</month>
                    <year>2014</year>
                </date>
                <date date-type="rev-recd">
                    <day>11</day>
                    <month>03</month>
                    <year>2014</year>
                </date>
                <date date-type="accepted">
                    <day>30</day>
                    <month>03</month>
                    <year>2014</year>
                </date>
            </history>
            <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
            <copyright-statement>&#169;Patrick Yuan, Michael G Bare, Mallory O Johnson, Parya Saberi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.05.2014. </copyright-statement>
            <copyright-year>2014</copyright-year>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
                <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.</p>
            </license>
            <self-uri xlink:href="http://www.jmir.org/2014/5/e117/" xlink:type="simple" />
            <abstract>
                <sec sec-type="background">
                    <title>Background</title>
                    <p>There are many challenges in recruiting and engaging participants when conducting research, especially with HIV-positive individuals. Some of these challenges include geographical barriers, insufficient time and financial resources, and perceived HIV-related stigma.</p>
                </sec>
                <sec sec-type="objective">
                    <title>Objective</title>
                    <p>This paper describes the methodology of a recruitment approach that capitalized on existing online social media venues and other Internet resources in an attempt to overcome some of these barriers to research recruitment and retention.</p>
                </sec>
                <sec sec-type="methods">
                    <title>Methods</title>
                    <p>From May through August 2013, a campaign approach using a combination of online social media, non-financial incentives, and Web-based survey software was implemented to advertise, recruit, and retain participants, and collect data for a survey study with a limited budget.</p>
                </sec>
                <sec sec-type="results">
                    <title>Results</title>
                    <p>Approximately US $5,000 was spent with a research staff designated at 20% of full-time effort, yielding 2034 survey clicks, 1404 of which met the inclusion criteria and initiated the survey, for an average cost of US $3.56 per survey initiation. A total of 1221 individuals completed the survey, yielding 86.97% retention.</p>
                </sec>
                <sec sec-type="conclusions">
                    <title>Conclusions</title>
                    <p>These data indicate that online recruitment is a feasible and efficient tool that can be further enhanced by sophisticated online data collection software and the addition of non-financial incentives.</p>
                </sec>
            </abstract>
            <kwd-group>
                <kwd>HIV</kwd>
                <kwd>AIDS</kwd>
                <kwd>online social media</kwd>
                <kwd>Facebook</kwd>
                <kwd>Twitter</kwd>
                <kwd>recruitment</kwd>
                <kwd>Internet research</kwd>
                <kwd>survey retention</kwd>
                <kwd>online data collection software</kwd>
                <kwd>non-financial incentives</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="introduction">
            <title>Introduction</title>
            <p>Recruiting and retaining HIV-positive research participants is a crucial yet challenging endeavor [<xref ref-type="bibr" rid="ref1">1</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. Numerous studies indicate several unique challenges that prevent HIV-positive individuals from participating in research, such as self-presentation bias [<xref ref-type="bibr" rid="ref5">5</xref>], access to adequate transportation [<xref ref-type="bibr" rid="ref6">6</xref>], low socioeconomic status [<xref ref-type="bibr" rid="ref7">7</xref>], and mistrust of research [<xref ref-type="bibr" rid="ref5">5</xref>]. Although offering financial incentives can mitigate some of these factors, it can also incentivize fraudulent responses and repeat participation [<xref ref-type="bibr" rid="ref8">8</xref>], which may diminish scientific validity. Moreover, HIV-positive individuals experience high levels of perceived stigma [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>], elevated rates of depression [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref12">12</xref>], and increased risk of substance use. When combined, these issues create a formidable barrier to participation in research designed to examine these issues and decrease the generalizability of study findings.</p>
            <p>In addition to these HIV-specific challenges, there are major impediments and compromises associated with research in general [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. These include geographical and time constraints, labor to recruit and retain participants, limited financial resources, and logistical difficulties associated with survey administration or intervention conduction [<xref ref-type="bibr" rid="ref14">14</xref>]. Failure to recruit and retain a sufficient number of eligible participants can be costly [<xref ref-type="bibr" rid="ref15">15</xref>], threatens internal and external validity of the study [<xref ref-type="bibr" rid="ref16">16</xref>], and, most importantly, deprives the scientific community of knowledge and potentially useful interventions [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref17">17</xref>].</p>
            <p>Due to the near ubiquity of the Internet [<xref ref-type="bibr" rid="ref18">18</xref>], it has become easier for people to engage in online surveys and research from the comfort and privacy of their own homes [<xref ref-type="bibr" rid="ref19">19</xref>]. Specifically, online social media has been highly successful in capturing audiences [<xref ref-type="bibr" rid="ref20">20</xref>]. Chief among these is Facebook, the second most popular website in the world [<xref ref-type="bibr" rid="ref21">21</xref>]. With 198 million monthly active users and 93% of adult Internet users having a Facebook account, the average user spends approximately 1 out of every 8 minutes online or more than 11 hours per month on Facebook [<xref ref-type="bibr" rid="ref22">22</xref>]. Twitter is another popular online social media platform, with over 49 million monthly active users [<xref ref-type="bibr" rid="ref20">20</xref>]. These venues have already been used to successfully recruit research participants from various groups, such as mothers of advanced maternal age [<xref ref-type="bibr" rid="ref23">23</xref>], individuals with Klinefelter&#8217;s syndrome [<xref ref-type="bibr" rid="ref24">24</xref>], those with active depression [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>], and smokers [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>].</p>
            <p>Therefore, if perceived stigma, cost of transportation, and physical distance are potential deterrents for HIV-positive individuals to participate in research, and time, geographical, and resource constraints are among the general difficulties of research, then Internet-based resources may be a logical solution to overcome many of these barriers. Thus far, the literature has indicated that online social media is ripe for researchers to use as a tool for recruitment [<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>]. By accessing online venues where potentially qualified participants are already spending time, it is possible to bridge the psychosocial and physical divides between research participants and researchers to achieve a successful outcome. Therefore, to capitalize on these existing resources, we used a novel combination of online social media along with non-financial incentives and contemporary data collection software for participant recruitment, retention, and data collection.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Study Design and Data Collection</title>
                <p>We conducted a cross-sectional survey using online social media to recruit HIV-positive individuals. The purpose of the parent study was to examine the barriers to and facilitators of adherence to antiretroviral therapy and to describe the use of mobile telephones and other technologies to improve adherence among HIV-positive individuals living in the United States. Here, we describe the methods used for participant recruitment using online social media.</p>
                <p>We implemented a campaign approach where participants were recruited through online social media such as Facebook, Twitter, and other social media platforms, such as LinkedIn, Craigslist, and Tumblr, from May 7 to August 31, 2013. The online survey was programmed using Qualtrics Research Suite (Qualtrics, Provo, UT), an online survey tool that allows researchers to build, distribute, and analyze online surveys in real time. The survey contained 112 items on demographics, HIV clinical outcomes, and use of technology. The University of California, San Francisco (UCSF) Committee on Human Research approved this study in April 2013.</p>
            </sec>
            <sec>
                <title>Participant Recruitment</title>
                <p>A schedule was devised by the research assistant to regularly update and maintain these social media sites for a total of 8 hours per week (20% of full-time effort).</p>
                <sec>
                    <title>Facebook</title>
                    <sec>
                        <title>Overview</title>
                        <p>We used 4 methods to recruit participants on Facebook: paid advertisements (ads), fan page, personal messages, and postings in groups.</p>
                    </sec>
                    <sec>
                        <title>Facebook Ads</title>
                        <p>A Facebook ad was created that ran separately and concurrently with the rest of the research recruitment campaign to further broaden exposure to the target population. With the assistance of a Facebook representative, a daily average budget of US $40 and a total budget of US $5,000 were established to cover the 4-month recruitment period. The average maximum bid per cost per click (CPC) was set at US $3.50, which was above the Facebook suggested bid range of US $0.52-$1.09, to outcompete other advertisements targeting the same groups. These advertisements were targeted at users with self-reported interests or &#8220;liked&#8221; topics in any of the following categories: HIV/AIDS; lesbian, gay, bisexual, transgender, queer, questioning, intersex, and asexual (LGBTQQIA); men who have sex with men (MSM); HIV co-morbidities such as tuberculosis and Hepatitis C; and unprotected sex.</p>
                        <p>A wide variety of advertisement pictures were chosen to cater to the target demographic. Pictures of inanimate or abstract objects, such as the AIDS red ribbon, were used as well as pictures of people representing various age ranges, genders, and sexual identities. Since banner advertisements targeting MSM of color have been shown to increase the click-through rate [<xref ref-type="bibr" rid="ref31">31</xref>], we altered the racial/ethnic composition of the images. All of these advertisements used the banner title &#8220;Living with HIV?&#8221;, accompanied by a brief survey description (<xref ref-type="app" rid="app1">Multimedia Appendix 1</xref>). We obtained the rights to use stock photographs from various Internet sites.</p>
                        <p>We initiated the Facebook ad campaign with 3 advertisements but increased the number of advertisements to 5 in order to cater 2 advertisements specifically toward women and youth (18-29 years old). This decision was in response to the Facebook Ad Reports, which showed low levels of participation by women and youth. We varied ad pictures on a bi-weekly basis based on the number of Facebook ad clicks.</p>
                    </sec>
                    <sec>
                        <title>Facebook Fan Page</title>
                        <p>A Facebook fan page was created with the intention of recruiting participants and raising general awareness of the study. This was achieved by generating interesting and relevant posts for people living with HIV, which included news articles, study announcements, survey dissemination requests, pictures, videos, and HIV-related resources. Posted news articles related to HIV, medication adherence, and the use of technology as it pertained to HIV and medication adherence. On average, the research assistant updated the fan page every 3 to 4 days and posted about 2 new posts per day. A fan page description under the &#8220;About&#8221; section of the Facebook page was created to inform potential participants of the study and provide a link to the survey. A brief description of the study investigators and the organization was also included to build rapport and credibility with the audience. The research assistant interacted with other Facebook fan pages with similar purpose or interest by &#8220;liking&#8221; these organizations&#8217; pages, which were found using keyword searches for HIV, AIDS, MSM, and health care.</p>
                    </sec>
                    <sec>
                        <title>Facebook Messages</title>
                        <p>The research assistant sent personalized Facebook messages on behalf of the study to community leaders, major HIV/AIDS organizations, and other related organizations, especially in states with low survey response rates. Survey response rates were estimated by examining Facebook Ad Reports. These messages contained information about the study, a link to the survey, and a request to repost the study link on the individual or organization&#8217;s corresponding Facebook page.</p>
                    </sec>
                    <sec>
                        <title>Facebook Groups</title>
                        <p>The research assistant also joined HIV-related Facebook groups to advertise for recruitment. These groups maintain Facebook pages based on real-life interests to facilitate discussions of relevant topics. Once requests to join these groups were granted, posts were made in the common thread requesting that interested participants click on the survey link.</p>
                    </sec>
                </sec>
                <sec>
                    <title>Twitter</title>
                    <p>A Twitter account was created for the purpose of recruiting participants for the study and to continue building an online network to advertise for the survey. Through the study&#8217;s Twitter account (ie, &#8220;feed&#8221;), the research assistant followed any organization affiliated with topics such as HIV, AIDS, MSM, or global health care. Individuals were also followed if they were candid about their HIV seropositive status or being MSM, an HIV advocate, or a health educator.</p>
                    <p>Tweets were sent directly to both individuals and organizations as a request to re-tweet the survey link. Hashtags (#) related to the Twitter account were used to keep track of the number of times each message was tweeted and a shorter version of the study&#8217;s URL (ie, &#8220;tiny URL&#8221;) was generated to fit within the 140-character limit of tweets. The research assistant tweeted relevant content related to HIV/AIDS or interacted with other Twitter feeds by re-tweeting interesting and applicable topics on a weekly basis.</p>
                </sec>
                <sec>
                    <title>Other Social Media Platforms</title>
                    <sec>
                        <title>LinkedIn</title>
                        <p>LinkedIn groups that included content related to HIV were specifically chosen to advertise to potential study participants. Postings regarding the study were made in groups that were created for people living with HIV, HIV advocates, community workers, and other researchers. Additionally, a request was made with each posting for group members to share the survey link with other potentially interested groups or individuals.</p>
                    </sec>
                    <sec>
                        <title>Craigslist</title>
                        <p>On a weekly basis, the research assistant posted advertisements containing the survey link and basic information about the study on nationwide Craigslist groups pertaining to MSM and health. Elements from the Touro 12-Step Process [<xref ref-type="bibr" rid="ref32">32</xref>] were utilized, including guidelines on creating a thread title, generating an active and ongoing discussion, and being courteous.</p>
                    </sec>
                    <sec>
                        <title>Tumblr</title>
                        <p>A Tumblr blog was created and maintained with regular updates that mirrored the Facebook posts. Other blogs with content related to HIV were &#8220;liked&#8221; in order to build an audience and stimulate recruitment.</p>
                    </sec>
                </sec>
            </sec>
            <sec>
                <title>Subjects and Research Engagement</title>
                <p>Individuals who clicked on the study Web link were directed to the Qualtrics survey where they were required to consent online before being screened for eligibility. The survey was used to screen individuals based on the following inclusion criteria: age 18 years or older, HIV-positive serostatus, and currently living in the United States. We excluded individuals who had already taken the survey by limiting the number of survey attempts to 1 per Internet Protocol (IP) address and by asking participants if they had already taken the survey. Qualtrics was programmed to end the survey if the participant did not qualify. We ensured anonymity by not collecting any identifiers or personal health information and storing responses on encrypted and password-protected servers at UCSF.</p>
                <p>Given the anonymous nature of the Web-based survey and lack of identifiers to verify repeat and fraudulent responses, monetary incentives were not offered in order to de-incentivize multiple survey attempts. However, in order to keep participants engaged, we motivated participants by inserting 5 medically interesting facts strategically throughout the survey titled &#8220;Fun Facts&#8221;, which were accompanied by visually stimulating and relevant pictures. Examples of these fun facts include: &#8220;Did you know that we exercise at least 30 muscles when we smile?&#8221; and &#8220;Did you know that your brain uses as much power as a 10-watt light bulb?&#8221; Additionally, to spark interest, we asked participants before beginning the survey if they knew of a natural substance that can be potentially effective against HIV. Upon completion of the survey, we embedded a link to a video about how bee venom is being studied by the Washington University School of Medicine as a potential drug to treat HIV [<xref ref-type="bibr" rid="ref33">33</xref>].</p>
                <p>We consulted the UCSF Center for AIDS Prevention Studies (CAPS) Community Advisory Board (CAB), which is comprised of stakeholders from Bay Area agencies and communities with the mission of channeling community input into the CAPS research agenda, providing advice on study methods, and improving recruitment methods. Based on the recommendations of the CAPS CAB, we modified the Facebook ad pictures to exclusively use photographs of people, the Facebook ad text to be more direct and motivating, and incorporated Tumblr as an additional online social networking venue for recruitment.</p>
            </sec>
            <sec>
                <title>Analysis</title>
                <p>Three variables were created to estimate the relative value of each of the 3 main methods of recruitment: (1) &#8220;Facebook Page Interactions&#8221; to estimate user activity on the Facebook fan page, (2) &#8220;Twitter Interactions&#8221; to evaluate the overall activity on the Twitter feed, and (3) &#8220;Facebook Ad Clicks&#8221; to assess the overall success of the Facebook ad. The number of likes, comments, and shares on the Facebook page per recruitment day were extracted from Facebook Page Insights and summed to serve as an objective measure of Facebook Page Interactions. Data collected from Twitonomy (a Twitter analytics tool) included the number of retweets and mentions per recruitment day and were used to compute Twitter Interactions. Information on the number of clicks per day for the Facebook ad was obtained from Facebook Ad Reports. Using descriptive data from Qualtrics, we collected information on the number of survey clicks per day. We used Pearson&#8217;s pairwise correlation to examine the relationship between the number of survey clicks per day and Facebook Page Interactions, Twitter Interactions, and Facebook Ad clicks per day. Correlation values of 0 to .3 were deemed weak correlation, .3 to .7 indicated moderate correlation, and &#62;.7 were considered strong correlation. The significance level of each correlation coefficient was also estimated. A <italic>P</italic> value of &#60;.05 was deemed statistically significant.</p>
                <p>As part of the survey, participants were also asked about their method of recruitment. These methods were categorized under one of the following categories: Facebook, Twitter, word-of-mouth, email from a listserv, and other (including LinkedIn, Craigslist, Tumblr, or other). We used 2-way frequency tables to examine the distribution of the method of recruitment based on participants&#8217; age (categorized as 18-29.9, 30-39.9, 40-49.9, 50-59.9, and &#8805;60 years), race/ethnicity (White/Caucasian, African-American/Black, Latino, and other), male sex at birth, and sexual orientation (homosexual/gay, heterosexual, bisexual, and other). A chi-square test was used to assess the null hypothesis that the categorical variables are independent.</p>
                <p>Last, to estimate research retention in the absence of monetary incentives, we compared the total number of participants who responded to the first survey question with the total number of respondents who answered the last survey question. All statistical analyses were conducted using Stata, version 13.1 (StataCorp, College Station, TX).</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Total Respondents</title>
                <p>A total of 2034 individuals clicked on the survey Web link, averaging 18 clicks per day. Of those who clicked, 1977 people consented to take the survey, 1404 met the inclusion criteria and initiated the first question of the survey, and 1221 responded to the last question of the survey (86.97% retention). A total of 43 respondents answered affirmatively when asked if they had taken the survey before and were therefore excluded from the survey.</p>
                <p>The study received a total of 10,006 Facebook Ad Clicks, 278 Facebook Page Interactions, and 161 Twitter Interactions during the recruitment period. Although each of these factors contributed to the total number of survey clicks per day, only the number of Facebook Ad Clicks was moderately correlated with the number of survey clicks per day based on the Pearson pairwise correlation (.52, <italic>P</italic>&#60;.001). The Facebook Page Interactions and Twitter Interactions were weakly correlated with Facebook Ad Clicks (<italic>r</italic>=.17, <italic>P</italic>=.06; <italic>r</italic>=.18, <italic>P</italic>=.06, respectively). <xref ref-type="fig" rid="figure1">Figure 1</xref> illustrates the number of survey clicks relative to the number of Facebook Ad clicks, Twitter Interactions, and Facebook Page Interactions for the month of June 2013. This serves to visually demonstrate the correlation between each of the 3 major methods of recruitment and the total number of survey clicks per day.</p>
                <fig id="figure1" position="float">
                    <label>Figure 1</label>
                    <caption>
                        <p>Number of Survey Clicks, Twitter Interactions, Facebook Interactions, and Facebook Ad Clicks in June 2013.</p>
                    </caption>
                    <graphic xlink:href="jmir_v16i5e117_fig1.jpg" alt-version="no" mimetype="image" position="float" xlink:type="simple" />
                </fig>
            </sec>
            <sec>
                <title>Number of Survey Clicks, Twitter Interactions, Facebook Interactions, and Facebook Ad Clicks in June 2013</title>
                <p>On average, participants spent 31 minutes to complete the survey. <xref ref-type="table" rid="table1">Table 1</xref> encapsulates key demographics of participants by self-reported method of recruitment. According to these data, participants were primarily 40-49.9 years of age, identified as White/Caucasian, male at birth, and homosexual. Facebook was the most common method of recruitment across all reported demographics. With increase in age, participants were more likely to report being recruited through non-Facebook methods. Similarly, heterosexual individuals were more likely to report non-Facebook methods of recruitment compared to bisexual or homosexual participants. Email from a listserv was the second most commonly reported method for those aged 60 years or older and African Americans. Racial/ethnic categories were independent of self-reported method of recruitment.</p>
                <p>A total of US $5,021 was spent on the Facebook ad (mean CPC = $0.64), which targeted a total of 14 million Facebook users and accumulated 1404 initiated surveys. Therefore, the estimated mean cost per survey initiation was approximately US $3.56. The reach of the Facebook ads included participants from 48 states plus the District of Columbia but did not include participants from either Alaska or Wyoming. From the Facebook fan page, the research assistant &#8220;liked&#8221; 490 other fan pages while 53 other organizations and individual Facebook users &#8220;liked&#8221; the study&#8217;s fan page. A total of 141 Facebook messages were sent to community leaders, organizations, and individuals requesting to have the survey link reposted.</p>
                <p>Over the course of the recruitment period, the research assistant tweeted 572 times, received 199 Twitter followers, and followed 1092 Twitter feeds. In addition, the research assistant contacted a total of 16 LinkedIn groups, added 3 Tumblr sites, and posted on 3 Craigslist forums.</p>
                <table-wrap position="float" id="table1">
                    <label>Table 1</label>
                    <caption>
                        <p>Key participant demographics and self-reported method of recruitment.</p>
                    </caption>
                    <table width="800" border="1" cellpadding="7" cellspacing="0" rules="groups" frame="hsides">
                        <col width="50" />
                        <col width="99" />
                        <col width="52" />
                        <col width="71" />
                        <col width="62" />
                        <col width="62" />
                        <col width="52" />
                        <col width="50" />
                        <col width="50" />
                        <thead>
                            <tr valign="bottom">
                                <td colspan="2">Characteristic</td>
                                <td>Total, n</td>
                                <td>Facebook</td>
                                <td>Email from a Listserv</td>
                                <td>Word-of-mouth</td>
                                <td>Twitter</td>
                                <td>Other<sup>a</sup>
                                </td>
                                <td>
                                    <italic>P</italic> value<sup>b</sup>
                                </td>
                            </tr>
                        </thead>
                        <tbody>
                            <tr valign="top">
                                <td colspan="8">
                                    <bold>Age, years, n (%)</bold>
                                </td>
                                <td>&#60;.001</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>18-29.9</td>
                                <td>246</td>
                                <td>211 (85.8)</td>
                                <td>7 (2.9)</td>
                                <td>15 (6.1)</td>
                                <td>2 (0.8)</td>
                                <td>11 (4.5)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>30-39.9</td>
                                <td>274</td>
                                <td>233 (85.0)</td>
                                <td>11 (4.0)</td>
                                <td>21 (6.7)</td>
                                <td>5 (1.8)</td>
                                <td>4 (1.5)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>40-49.9</td>
                                <td>508</td>
                                <td>422 (83.1)</td>
                                <td>29 (5.7)</td>
                                <td>36 (7.1)</td>
                                <td>6 (1.2)</td>
                                <td>15 (3.0)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>50-59.9</td>
                                <td>474</td>
                                <td>381 (80.4)</td>
                                <td>37 (7.8)</td>
                                <td>33 (7.0)</td>
                                <td>5 (1.1)</td>
                                <td>18 (3.8)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>&#8805;60</td>
                                <td>402</td>
                                <td>256 (63.7)</td>
                                <td>55 (13.7)</td>
                                <td>31 (7.7)</td>
                                <td>23 (5.7)</td>
                                <td>37 (9.2)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="bottom">
                                <td>
                                    <break />
                                </td>
                                <td>Total<sup>c</sup>
                                </td>
                                <td>1904</td>
                                <td>1503 (78.94)</td>
                                <td>139 (7.30)</td>
                                <td>136 (7.14)</td>
                                <td>41 (2.15)</td>
                                <td>85 (4.46)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="8">
                                    <bold>Racial identification, n (%)</bold>
                                </td>
                                <td>.311</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>White/Caucasian</td>
                                <td>995</td>
                                <td>802 (80.6)</td>
                                <td>67 (6.7)</td>
                                <td>81 (8.1)</td>
                                <td>11 (1.1)</td>
                                <td>34 (3.4)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Black/African American</td>
                                <td>126</td>
                                <td>97 (77.0)</td>
                                <td>14 (11.1)</td>
                                <td>9 (7.1)</td>
                                <td>2 (1.6)</td>
                                <td>4 (3.2)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Hispanic/Latino</td>
                                <td>181</td>
                                <td>157 (86.7)</td>
                                <td>8 (4.4)</td>
                                <td>9 (5.0)</td>
                                <td>2 (1.1)</td>
                                <td>5 (2.8)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Other</td>
                                <td>102</td>
                                <td>90 (88.2)</td>
                                <td>4 (3.9)</td>
                                <td>3 (3.0)</td>
                                <td>2 (2.0)</td>
                                <td>3 (2.9)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="bottom">
                                <td>
                                    <break />
                                </td>
                                <td>Total<sup>c</sup>
                                </td>
                                <td>1404</td>
                                <td>1146 (81.62)</td>
                                <td>93 (6.62)</td>
                                <td>102 (7.26)</td>
                                <td>17 (1.21)</td>
                                <td>46 (3.28)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="8">
                                    <bold>Sex at birth, n (%)</bold>
                                </td>
                                <td>&#60;.001</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Male</td>
                                <td>1321</td>
                                <td>1102 (83.42)</td>
                                <td>76 (5.75)</td>
                                <td>86 (6.51)</td>
                                <td>14 (1.06)</td>
                                <td>43 (3.26)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Female</td>
                                <td>77</td>
                                <td>39 (50.7)</td>
                                <td>16 (20.8)</td>
                                <td>16 (20.8)</td>
                                <td>3 (3.9)</td>
                                <td>3 (3.9)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="bottom">
                                <td>
                                    <break />
                                </td>
                                <td>Total<sup>c</sup>
                                </td>
                                <td>1398</td>
                                <td>1141 (81.62)</td>
                                <td>92 (6.58)</td>
                                <td>102 (7.30)</td>
                                <td>17 (1.22)</td>
                                <td>46 (3.29)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td colspan="8">
                                    <bold>Sexual orientation, n (%)</bold>
                                </td>
                                <td>&#60;.001</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Homosexual/Gay</td>
                                <td>1208</td>
                                <td>1007 (83.36)</td>
                                <td>73 (6.04)</td>
                                <td>80 (6.62)</td>
                                <td>11 (0.91)</td>
                                <td>37 (3.06)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Heterosexual</td>
                                <td>92</td>
                                <td>54 (58.7)</td>
                                <td>13 (14.1)</td>
                                <td>14 (15.2)</td>
                                <td>5 (5.4)</td>
                                <td>6 (6.5)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="top">
                                <td>
                                    <break />
                                </td>
                                <td>Bisexual/Other</td>
                                <td>91</td>
                                <td>75 (82.4)</td>
                                <td>6 (6.6)</td>
                                <td>8 (8.8)</td>
                                <td>1 (1.1)</td>
                                <td>1 (1.1)</td>
                                <td>&#160;</td>
                            </tr>
                            <tr valign="bottom">
                                <td>
                                    <break />
                                </td>
                                <td>Total<sup>c</sup>
                                </td>
                                <td>1391</td>
                                <td>1136 (81.67)</td>
                                <td>92 (6.61)</td>
                                <td>102 (7.33)</td>
                                <td>17 (1.22)</td>
                                <td>44 (3.16)</td>
                                <td>&#160;</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn id="table1fn1">
                            <p>
                                <sup>a</sup>Includes LinkedIn, Craigslist, and Tumblr.</p>
                        </fn>
                        <fn id="table1fn2">
                            <p>
                                <sup>b</sup>Based on chi-square test.</p>
                        </fn>
                        <fn id="table1fn3">
                            <p>
                                <sup>c</sup>Differences in number of responses for each characteristic are due to missing data; participants were not &#8220;forced&#8221; to respond to each demographic question.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <sec>
                <title>Principal Findings</title>
                <p>Our study results indicate that the unique integration of online social media recruitment, Web-based survey, and non-financial incentives is an efficient and streamlined strategy for survey research with HIV-positive individuals. The restricted resources of US $5,000 in a 4-month recruitment timeframe with 20% research assistant&#8217;s time resulted in recruiting 1404 qualified participants in 48 states and the District of Columbia, averaging 18 survey responses per day, making this an efficient solution for participant recruitment. This is similar to other studies not focused on an HIV-positive population that have demonstrated the efficiency of Facebook ads [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref27">27</xref>]. Furthermore, we were able to access a difficult-to-reach population that may experience stigma and other barriers to research participation.</p>
                <p>Even though Facebook has been used to effectively recruit HIV-positive individuals [<xref ref-type="bibr" rid="ref34">34</xref>], our study is novel in that we utilized a campaign approach&#8212;using several different online social media platforms at once to benefit from various approaches and to maximize diversity. Compared to other methods of online recruitment, the Facebook ad was by far the most successful and least time consuming. The number of survey clicks per day and Facebook ad clicks was moderately correlated and highly statistically significant, illustrating the importance of a paid Facebook advertisement. We believe that setting a high CPC bid and increasing the number of interest groups as recommended by the Facebook representative, as well as using ad images of women and ethnic minorities [<xref ref-type="bibr" rid="ref32">32</xref>] and more direct and motivating ad text as proposed by the CAPS CAB were associated with improved ad performance.</p>
                <p>Although we observed a weak correlation between the number of survey clicks per day and both the Facebook Page and Twitter Interactions, these platforms were essential in establishing and maintaining a rapport with the study population and community. Such relationships were cultivated by liking and following relevant pages and groups of underrepresented populations, posting comments on walls and reposting relevant material, and sending personal messages. These techniques were particularly helpful given that the level of compliance with our requests was contingent upon the relationship and rapport between the researcher and the person or institution being contacted. For example, mass-produced messages and random posts on other Facebook pages or Twitter feeds were not as useful as personalized messages sent directly to a community leader or an HIV advocate with an established relationship. This highlights the social phenomenon known in economics as reciprocity, which correlates one&#8217;s likelihood of compliance with their familiarity with the one making the request [<xref ref-type="bibr" rid="ref35">35</xref>]. Therefore, future researchers should not rely exclusively on online social media and underestimate the powerful nature of existing social networks to assist with recruitment efforts.</p>
                <p>Retaining participants for Internet-based studies has been known to be difficult [<xref ref-type="bibr" rid="ref36">36</xref>], particularly among African American and Latino MSM [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref37">37</xref>]. In response, our study catered ads for these demographics and implemented a novel incentive structure by adding interesting facts throughout the survey to motivate participants. We used this approach as opposed to one with pecuniary incentives to minimize duplicate and false responses. Given that the average response time for survey completion was 31 minutes and 86.97% of those who initiated the first question of the survey completed the survey, we believe this is a tactical approach that can be used in future online research with anonymous participants.</p>
                <p>Since there are more Facebook users than any other social media site, it was not surprising that most participants identified Facebook as their primary method of recruitment. Moreover, the paid Facebook ad and the selection of targeted groups likely contributed to a higher percentage of Facebook recruits. However, it is unknown why older age and non-homosexual orientations were more likely to be associated with non-Facebook methods of recruitment. Future research should further examine possible reasons for these patterns. As such, the use of online social networks other than Facebook for recruitment remains a strong area of interest as venues for future research [<xref ref-type="bibr" rid="ref38">38</xref>]. It is likely that sites such as LinkedIn, Craigslist, and Tumblr would be more useful for research within professional networks, other interest groups, or longitudinal research.</p>
            </sec>
            <sec>
                <title>Limitations</title>
                <p>The self-reported demographics elucidated in <xref ref-type="table" rid="table1">Table 1</xref> are not representative of the population of those living with HIV in the United States [<xref ref-type="bibr" rid="ref39">39</xref>]. Responses revealed a higher proportion of individuals who identify as homosexual but fewer African Americans and Latinos. This may be attributed to HIV-specific reasons such as stigma, the necessity of having access to the Internet to participate in the survey, the need to be using social media to view recruitment advertisements, and the requirement for English proficiency to take the survey. Such drawbacks may be generalized to other study populations [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref40">40</xref>] and are important factors when considering the use of online social media for recruitment.</p>
                <p>Another limitation of our study is the possibility of duplicate responses. A study using online social media also found this issue to be problematic, especially when participants were provided a financial incentive without the use of restrictive software [<xref ref-type="bibr" rid="ref8">8</xref>]. However, attrition rates for online surveys in the HIV-positive MSM population are high [<xref ref-type="bibr" rid="ref41">41</xref>], urging researchers to provide some form of incentive. With awareness of this issue, we implemented safeguards to protect the integrity of the survey data by introducing non-financial incentives, automatically disqualifying participants who used duplicate IP addresses, and asking participants whether they had already participated in the survey. This inquiry was a necessary precaution owing to the fact that 43 respondents admitted to taking the survey more than once. Future researchers might consider investigating the extent to which repeat online survey attempts are denied due to duplicate IP addresses using comparable online survey instruments and non-financial incentives. Even though we believe the likelihood of duplicate responses is low, it is not possible for us to determine if users circumvented these measures by accessing the survey through multiple devices or by providing inaccurate responses.</p>
                <p>In terms of Facebook ad pictures, future research may be directed toward studying the effectiveness of different ad images by measuring the number of ad clicks and survey responses, which was a limitation of this study. Another limitation was that we were unable to verify the HIV serostatus of participants. However, given the lack of pecuniary incentives, it is unlikely that individuals would misrepresent themselves as being HIV-positive. Last, given that email from a listserv and directly contacting individuals using Facebook messages were valuable tools, it would have been beneficial for us to have asked participants about the specific listserv or the particular Facebook route (ie, Facebook ads vs personal message) in order to distinguish between various efforts.</p>
            </sec>
            <sec>
                <title>Conclusions</title>
                <p>Online social media is an indispensable tool for recruiting participants because it has the potential to be cost-effective and efficient. Social media has the unique ability to transcend barriers to study recruitment such as physical distance, transportation, and limited time and financial resources. It also affords users the added benefits of privacy and anonymity, which may ameliorate the effects of perceived stigma in difficult to reach populations. Moreover, non-financial incentives in the form of trivia are a viable alternative to monetary incentives that yields high rates of retention while minimizing the chances of duplicate and fraudulent responses. Facilitating this process using online data collection software can further reduce cost and time associated with data collection. In sum, as Internet-based research tools become more practical, researchers must embrace these methods not only to maximize efficiency but also to enhance the scientific validity and generalizability of their findings. As such, online social media, alternative types of incentives, and Web-based survey software are well poised to become staple methods of recruitment and engagement in research.</p>
            </sec>
        </sec>
    </body>
    <back>
        <app-group>
            <app id="app1">
                <title>Multimedia Appendix 1</title>
                <p>Facebook ad example.</p>
                <media xlink:href="jmir_v16i5e117_app1.png" xlink:title="PNG File, 66KB" />
            </app>
        </app-group>
        <glossary>
            <title>Abbreviations</title>
            <def-list>
                <def-item>
                    <term id="abb1">CAPS CAB</term>
                    <def>
                        <p>Center for AIDS Prevention Studies Community Advisory Board</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb2">CPC</term>
                    <def>
                        <p>cost per click</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb3">IP</term>
                    <def>
                        <p>Internet Protocol</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb4">MSM</term>
                    <def>
                        <p>men who have sex with men</p>
                    </def>
                </def-item>
                <def-item>
                    <term id="abb5">UCSF</term>
                    <def>
                        <p>University of California, San Francisco</p>
                    </def>
                </def-item>
            </def-list>
        </glossary>
        <ack>
            <p>The researchers would like to thank Mr Nikolai Caswell for his help in editing this manuscript. This project was supported by NIH award numbers K23MH097649, K24MH087220, and P30AI027763. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.</p>
        </ack>
        <fn-group>
            <fn fn-type="conflict">
                <p>None declared.</p>
            </fn>
        </fn-group>
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