<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">SN</journal-id><journal-title-group><journal-title>Social Networking</journal-title></journal-title-group><issn pub-type="epub">2169-3285</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/sn.2019.84010</article-id><article-id pub-id-type="publisher-id">SN-95560</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject></subj-group></article-categories><title-group><article-title>
 
 
  Social Media Use and Empathy: A Mini Meta-Analysis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shu-Sha</surname><given-names>Angie Guan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sophia</surname><given-names>Hain</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jennifer</surname><given-names>Cabrera</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andrea</surname><given-names>Rodarte</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>California State University, Northridge, USA</addr-line></aff><aff id="aff2"><addr-line>University of Illinois at Urbana-Champaign, Champaign, USA</addr-line></aff><aff id="aff3"><addr-line>University of California, Irvine, USA</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>10</month><year>2019</year></pub-date><volume>08</volume><issue>04</issue><fpage>147</fpage><lpage>157</lpage><history><date date-type="received"><day>19,</day>	<month>August</month>	<year>2019</year></date><date date-type="rev-recd"><day>6,</day>	<month>October</month>	<year>2019</year>	</date><date date-type="accepted"><day>9,</day>	<month>October</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Concerns about the effects of social media or social networking site
   
  (SNS) use on prosocial development are increasing. The aim of the current study is to meta-analytically summarize the research to date (
  &lt;i&gt;
  k
  &lt;/i&gt;
   = 5) about the relationship between general SNS use and two components of empathy (
  &lt;i&gt;
  i.e.
  &lt;/i&gt;
  , empathic concern and perspective-taking). Random effects meta-analyses showed that SNS use was significantly and positively related to affective empathy though only marginally related to cognitive empathy. These effects were generally small in size and do not establish causality. Future research should explore how specific behaviors are related to different forms of empathy.
 
</p></abstract><kwd-group><kwd>Social Media</kwd><kwd> Empathic Concern</kwd><kwd> Perspective-Taking</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Understanding how individuals relate to and empathize with one another is foundational to the scientific study of social development. Empathy, the ability to understand the emotions of others (the cognitive component of perspective-taking) and share in them (the affective component of empathic concern), is believed to underlie the human capacity to bond with offspring in parent-child attachment and cooperate with group members in ways that progress societies [<xref ref-type="bibr" rid="scirp.95560-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref2">2</xref>]. This relational construct is believed to be the “foundation of human social experience” [<xref ref-type="bibr" rid="scirp.95560-ref3">3</xref>] and is linked to outcomes at the individual and societal level. For example, adolescents with higher empathy become adults with better social skills, higher civic engagement, and greater prosocial skills like helping [<xref ref-type="bibr" rid="scirp.95560-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref6">6</xref>]. Additionally, countries with higher empathy have higher levels of collectivism, subjective well-being, prosocial behaviors, and U.S. states with higher empathy have reduced violent crime [<xref ref-type="bibr" rid="scirp.95560-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref8">8</xref>].</p><p>However, there is growing concern that empathy is decreasing among recent cohorts of adolescents and young adults while narcissism is increasing [<xref ref-type="bibr" rid="scirp.95560-ref6">6</xref>]. Social media may play a role in this phenomenon. The current meta-analysis explores the relationship between social media use in daily life and the two components of empathy. We begin by discussing the history of social media or social networking sites (SNSs), linking it to the literature on empathy, outline our methodological strategy, present our results, and end with a discussion of limitations and implications. Altogether, this study will provide important insight into the effects of media use.</p><sec id="s1_1"><title>1.1. Social Networking Sites</title><p>In the last two decades, technological advances and social media have made it easier to “connect” with others. Social media is part of what researchers broadly call “new media” or “digital media” and has several affordances that separate it from older forms of media (e.g., television, radio, newspapers), such as pervasiveness, disembodiment, interactivity, and asynchronicity [<xref ref-type="bibr" rid="scirp.95560-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref11">11</xref>]. Social media sites, or social networking sites (SNSs), are defined as Web-based services that: 1) individuals can use to construct public or semi-public profiles within a bounded system; 2) identify other users with whom they share a connection; and 3) view and traverse their and others’ lists of connections [<xref ref-type="bibr" rid="scirp.95560-ref12">12</xref>]. Indeed, in the late 1990s, the first recognized sites (http://sixdegrees.com, https://www.classmates.com) were aimed at connecting friends. Later, sites like LiveJournal (1999) and Friendster (2002) provided a means for individuals to share profiles and personal opinions. These characteristics and affordances of today’s most popular SNSs, like Facebook (2004), Twitter (2006), and Instagram (2010), likely shape the values and capacities formed from time online.</p></sec><sec id="s1_2"><title>1.2. Media-Empathy Paradox</title><p>Although digital media can facilitate relationship formation and maintenance, there is recent evidence of a media-empathy paradox, the irony that a tool created for social connection may be reducing connective capacities [<xref ref-type="bibr" rid="scirp.95560-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref14">14</xref>]. For example, an analysis of 72 study samples shows that survey measures of empathy have declined nearly 40% in American young adults since 1979 and researchers point to social media as a culprit for cultivating increasing focus on the self rather than on others [<xref ref-type="bibr" rid="scirp.95560-ref14">14</xref>]. Not only may other-oriented traits like empathy be decreasing, but self-oriented traits like narcissism, self-esteem, and self-satisfaction are also on the rise across a similar timespan [<xref ref-type="bibr" rid="scirp.95560-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref18">18</xref>]. However, it can be argued that higher self-esteem during emerging adulthood may be normative or protective [<xref ref-type="bibr" rid="scirp.95560-ref19">19</xref>].</p><p>To reconcile the media-empathy paradox, some social media researchers have emphasized specific online activities as an explanatory factor. For example, social digital interactions like chatting may be linked to higher empathy [<xref ref-type="bibr" rid="scirp.95560-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref21">21</xref>] ; whereas the affordances of SNSs that create an emphasis on and opportunities for controllable, malleable self-presentation may lead to promotion of self-interest, narcissism, and fame-orientation [<xref ref-type="bibr" rid="scirp.95560-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref24">24</xref>]. Similarly, a meta-analysis of prosocial media suggests that exposure to prosocial media is linked to higher empathic concern and prosocial behaviors [<xref ref-type="bibr" rid="scirp.95560-ref25">25</xref>]. However, other work on SNS use found SNS activities were also positively linked to narcissism and loneliness [<xref ref-type="bibr" rid="scirp.95560-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref27">27</xref>]. To our knowledge, there have been no meta-analyses on the relationship between general social media use and empathy. Overall, the link between SNS use and empathy is still not well established or understood.</p></sec></sec><sec id="s2"><title>2. Method</title><sec id="s2_1"><title>2.1. Search Strategy</title><p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, electronic searches for articles and abstracts were performed in PsycINFO, ProQuest, and Google Scholar from 1990 to 2017 and again in the summer of 2019 with final searches completed by August 11, 2019. The main search strategy used combinations of keywords related to digital media (i.e., social media, social networking sites, cyberspace, online, Internet, Facebook, Twitter, YouTube, and Instagram). Media keywords were included in all combinations with empathy keywords (i.e., cognitive empathy, affective empathy, sympathy, personal distress). In addition, we cross-referenced our search with articles cited in reviews about media and prosocial outcomes [<xref ref-type="bibr" rid="scirp.95560-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref29">29</xref>]. Searches were conducted primarily by authors Hain and Cabrera. They were then collected into an electronic folder, checked for duplicates and eligibility and coded by Hain, Rodarte, and Guan. The final sample of studies included k = 5 studies that met the inclusion criteria.</p></sec><sec id="s2_2"><title>2.2. Study Selection</title><sec id="s2_2_1"><title>2.2.1. Empathy</title><p>We included studies with the cognitive or affective dimensions of empathy. These factors were assessed using the Interpersonal Reactivity Index [<xref ref-type="bibr" rid="scirp.95560-ref30">30</xref>] , Adolescent Measure of Empathy and Sympathy [<xref ref-type="bibr" rid="scirp.95560-ref31">31</xref>] , Basic Empathy Scale [<xref ref-type="bibr" rid="scirp.95560-ref32">32</xref>] , or the Questionnaire of Cognitive and Affective Empathy [<xref ref-type="bibr" rid="scirp.95560-ref33">33</xref>].</p></sec><sec id="s2_2_2"><title>2.2.2. Media Use</title><p>We included different SNSs (e.g., Facebook, Twitter) and media use activities (e.g., texting, commenting, emailing). However, to narrow the scope and strengthen interpretability, we only selected for relatively active but general uses of SNSs in everyday life (i.e., profile updates, chatting, instant messaging, emailing, posting, and commenting) as measured by frequency (e.g., Use of Facebook Questionnaire [UFQ] from less than once a day to three or more times a day [<xref ref-type="bibr" rid="scirp.95560-ref21">21</xref>] ; never to very frequently [<xref ref-type="bibr" rid="scirp.95560-ref20">20</xref>] ) or duration (e.g., not at all to more than 10 hours a day on a “typical day” [<xref ref-type="bibr" rid="scirp.95560-ref34">34</xref>] ). That means that we excluded studies in a specific setting such as in an educational context (e.g., assessing course discussion boards [<xref ref-type="bibr" rid="scirp.95560-ref35">35</xref>] ), only assessed specific forms of exposure (e.g., prosocial or antisocial media; for a review see [<xref ref-type="bibr" rid="scirp.95560-ref25">25</xref>] ), cyberbullying [<xref ref-type="bibr" rid="scirp.95560-ref36">36</xref>] , or manipulated use [<xref ref-type="bibr" rid="scirp.95560-ref37">37</xref>].</p></sec><sec id="s2_2_3"><title>2.2.3. Data Extraction</title><p>A rating document was prepared, revised, and used during coding. Variables coded included: study year, authors, country, participant composition, gender composition, mean age, design, media use measures, empathy measures, covariates, and test statistics. Hain and Rodarte coded each of the articles. If there was a discrepancy, Guan reviewed the article and resolved the difference. We derived a standardized coefficient (β) from regression models or fixed effects from multilevel models [<xref ref-type="bibr" rid="scirp.95560-ref38">38</xref>] by multiplying the non-standardized coefficient by the standard deviation of x and dividing by the standard deviation of y [<xref ref-type="bibr" rid="scirp.95560-ref39">39</xref>] and calculated the effect size using the formula</p><p>r = β + 0.0 5 λ</p><p>where λ = 1 when β is nonnegative and λ = 0 when β is negative [<xref ref-type="bibr" rid="scirp.95560-ref40">40</xref>]. For studies with multiple time points, the effect estimate was averaged across time points if the correlation between time points was unknown. This conservatively assumes a high correlation (r = 1) between time points rather than assuming no correlation but will underestimate the precision [<xref ref-type="bibr" rid="scirp.95560-ref41">41</xref>]. Multiple effect estimates within a study were also averaged across gender or SNS activities (e.g., chatting, posting) to create a global SNS use estimate so as not to violate the independence assumption of the meta-analysis.</p></sec></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Meta-Analysis</title><p>The studies were meta-analyzed using fixed effects in which the mean effect size (i.e., correlation) was weighted by sample size. Study characteristics are provided in <xref ref-type="table" rid="table1">Table 1</xref>. We converted correlations into Fisher’s z for analysis and converted back to Pearson’s r for interpretation. Heterogeneity index analysis (Q) was run to assess the amount of variability across studies. For affective empathy, Q = 36.61, and cognitive empathy, Q = 31.75, were both above the critical value for a χ<sup>2</sup> (4) = 9.488 when α = 0.05 and we conclude that the studies were not homogenous and include random effects analyses.</p><p>Aggregated effect sizes are shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Overall, social networking use was positively related to affective empathy, M<sub>r</sub> = 0.07, 95% CI [0.04, 0.10], Z = 4.00, p &lt; 0.01. Additionally, social networking use was positively related to cognitive empathy, M<sub>r</sub> = 0.05, 95% CI [0.02, 0.08], Z = 3.03, p = 0.002. Given the heterogeneity of studies, random effects were also tested and showed that SNS</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Study characteristics and effect size estimates</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Study</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >% Female</th><th align="center" valign="middle" >Ethnicities</th><th align="center" valign="middle" >Age</th><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Outcome</th><th align="center" valign="middle" >r</th><th align="center" valign="middle" >SE</th><th align="center" valign="middle" >Media Type</th></tr></thead><tr><td align="center" valign="middle" >Alloway et al. (2014)</td><td align="center" valign="middle" >410</td><td align="center" valign="middle" >75%</td><td align="center" valign="middle" >73.6% White, 9% African American, 6.7% Hispanic, 5.2% Asian</td><td align="center" valign="middle" >18 - 50</td><td align="center" valign="middle" >USA</td><td align="center" valign="middle" >EC PT</td><td align="center" valign="middle" >0.03 0.05</td><td align="center" valign="middle" >0.05 0.05</td><td align="center" valign="middle" >FB Chat, Photo, Video, Link</td></tr><tr><td align="center" valign="middle" >Carrier et al. (2015)</td><td align="center" valign="middle" >1390</td><td align="center" valign="middle" >58%</td><td align="center" valign="middle" >46.3% Hispanic, 21.6% Caucasian, 14.7% Black, 12.9% Asian, 4.5% Other</td><td align="center" valign="middle" >M<sub>age</sub> = 23.39; SD = 3.11</td><td align="center" valign="middle" >USA</td><td align="center" valign="middle" >EC PT</td><td align="center" valign="middle" >−0.04 −0.06</td><td align="center" valign="middle" >0.03 0.03</td><td align="center" valign="middle" >General Use</td></tr><tr><td align="center" valign="middle" >Errasti et al. (2017)</td><td align="center" valign="middle" >503</td><td align="center" valign="middle" >45.9%</td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >14 - 17</td><td align="center" valign="middle" >Spain</td><td align="center" valign="middle" >EC PT</td><td align="center" valign="middle" >0.17 0.11</td><td align="center" valign="middle" >0.04 0.04</td><td align="center" valign="middle" >FB &amp; Twitter Frequency</td></tr><tr><td align="center" valign="middle" >Powell &amp; Roberts (2017)</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >50%</td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >18 - 58</td><td align="center" valign="middle" >UK</td><td align="center" valign="middle" >EC PT</td><td align="center" valign="middle" >0.28 0.29</td><td align="center" valign="middle" >0.10 0.10</td><td align="center" valign="middle" >Duration of Digital Interactions</td></tr><tr><td align="center" valign="middle" >Vossen &amp; Valkenburg (2016)</td><td align="center" valign="middle" >942</td><td align="center" valign="middle" >50.4%</td><td align="center" valign="middle" >N/A</td><td align="center" valign="middle" >10 - 14</td><td align="center" valign="middle" >Netherlands</td><td align="center" valign="middle" >EC PT</td><td align="center" valign="middle" >0.17 0.15</td><td align="center" valign="middle" >0.03 0.03</td><td align="center" valign="middle" >Social Media Frequency</td></tr></tbody></table></table-wrap><p>Note: EC = empathic concern and PT = perspective-taking.</p><p>use was positively related to affective empathy, M<sub>r</sub> = 0.11, 95% CI [0.01, 0.21], Z = 2.14, p = 0.032. However, SNS use was only marginally related to cognitive empathy, M<sub>r</sub> = 0.09, 95% CI [0.00, 0.18], Z = 1.91, p = 0.056. These effects are all small in size (Cohen, 1988). Regression analyses to test the effect of percentage of gender and average age of a study on effect size were not significant, though these analyses are likely under-powered given k = 5.</p></sec><sec id="s3_2"><title>3.2. Publication Bias</title><p>We found no evidence of publication bias for the affective empathy effect sizes based on Egger’s test, k = 5, regression intercept = 3.72, 95% CI [−3.63, 11.08], p = 0.394. Additionally, the effect sizes for cognitive empathy showed no significant publication bias on Egger’s test, k = 5, regression intercept = 4.07, 95% CI [−2.46, 10.47], p = 0.311.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Despite the decreases in empathy coupled with increases in media use at the societal level [<xref ref-type="bibr" rid="scirp.95560-ref13">13</xref>] , individual social media use in terms of frequency or time spent per day appears to be related to higher levels of empathy, particularly affective empathy. Even though the associations were small, they trended positive. However, there may be some online behaviors that cultivate empathy (e.g., sharing emotions, expressing support [<xref ref-type="bibr" rid="scirp.95560-ref21">21</xref>] ) more than others (e.g., updating profile photos [<xref ref-type="bibr" rid="scirp.95560-ref20">20</xref>] ). In combination with emerging longitudinal evidence that social media use at one time point is predictive of higher levels of cognitive and affective empathy one year later among adolescents [<xref ref-type="bibr" rid="scirp.95560-ref42">42</xref>] and experimental work that shows that interdependent Facebook use can promote relational orientation [<xref ref-type="bibr" rid="scirp.95560-ref37">37</xref>] , this study contributes to the growing literature on how social media can facilitate positive psychosocial development.</p><p>Although promising, there are limitations of the current meta-analysis to consider. This study aimed to look only at global measures of social media use in everyday life and, because of this inclusion parameter, includes a small sample of studies and effect sizes. This likely limits the generalizability of the results and our ability to detect differences by moderators (gender, age). Also, the results are correlational and do not establish causality. Previous research suggests that individuals who are prosocial offline are often prosocial online [<xref ref-type="bibr" rid="scirp.95560-ref29">29</xref>]. Despite our attempts to narrow the scope, there remained variability in the measures of media use and study parameters as indicated by the heterogeneity index. Given the wide range of online activities, future studies should explore how specific behaviors are related to different forms of empathy (e.g., helping strangers vs. family or friends [<xref ref-type="bibr" rid="scirp.95560-ref25">25</xref>] ). Additionally, the social media landscape is constantly evolving and this study captures media use as assessed by recent studies in one moment in time. Cultural psychologists suggest that changes in technology use, as part of larger shifting sociodemographic and ecological changes, can shape cultural values and learning environments in ways that directly affect human development across time [<xref ref-type="bibr" rid="scirp.95560-ref43">43</xref>].</p><p>It is also important to note that all of the studies included, and much of media research in general, have been conducted in industrialized, individualistic countries like the United States. This limited our ability to detect cultural differences. On the one hand, the most popular SNSs are often developed in Western cultures and can reflect the highly individualistic values of their developers and users [<xref ref-type="bibr" rid="scirp.95560-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.95560-ref44">44</xref>]. On the other hand, the Internet is a “global village” of individuals from various nationalities and cultural backgrounds with nearly 60% of the online population residing outside of the U.S. [<xref ref-type="bibr" rid="scirp.95560-ref44">44</xref>]. These diverse offline cultural values can be reflected in the online [<xref ref-type="bibr" rid="scirp.95560-ref45">45</xref>] - [<xref ref-type="bibr" rid="scirp.95560-ref52">52</xref>]. Additionally, there may be values and goals specific to the SNS context outside of the values that users bring with them [<xref ref-type="bibr" rid="scirp.95560-ref53">53</xref>]. Previous meta-analyses suggest that the effects of media use may be stronger in non-Western countries [<xref ref-type="bibr" rid="scirp.95560-ref26">26</xref>]. Future research should explore how cultural values in the online and offline interact in shaping development.</p><p>Although limited, this meta-analysis provides useful insights into the media-empathy paradox [<xref ref-type="bibr" rid="scirp.95560-ref13">13</xref>]. Additionally, it may be informative in better understanding growing generations of adolescents and young adults who have become the first generations to have grown up fully immersed in digital media (i.e., “digital natives”) having been born around or after the 1990s when the Internet was first commercially launched. This may mean that psychosocial development for these “digital natives” differs from prior generations of “digital immigrants” [<xref ref-type="bibr" rid="scirp.95560-ref9">9</xref>]. For example, greater face-to-face communication with family members, close friends, and acquaintances was associated with higher levels of psychological well-being (e.g., life meaning, relationship quality) for older adults age 35 - 54 but not for young adults age 18 - 34 [<xref ref-type="bibr" rid="scirp.95560-ref54">54</xref>]. As technology transforms society, social relationships, and media landscapes, it will become ever important to track how these changes affect individuals and their development.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Guan, S.-S.A., Hain, S., Cabrera, J. and Rodarte, A. (2019) Social Media Use and Empathy: A Mini Meta- Analysis. 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