{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:12:53Z","timestamp":1788347573240,"version":"build-2803163510"},"reference-count":55,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,5,31]],"date-time":"2026-05-31T00:00:00Z","timestamp":1780185600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,31]],"date-time":"2026-05-31T00:00:00Z","timestamp":1780185600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["1179321"],"award-info":[{"award-number":["1179321"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100025520","name":"Medical Research Future Fund","doi-asserted-by":"publisher","award":["1193738"],"award-info":[{"award-number":["1193738"]}],"id":[{"id":"10.13039\/501100025520","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Eating Disorders"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Self\u2010reported frequency measures of social media use (e.g., \u201cHow often do you use social media?\u201d) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self\u2010reports of TikTok use with objective data extracted from TikTok datafiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Participants (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009103) including individuals with diagnosed eating disorders (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200942) completed a Likert\u2010type self\u2010report measure of TikTok use frequency over the past month. Objective data included the total number of TikTok videos delivered, total number of videos \u201cliked\u201d by participants, number of sessions, and number of \u201cbinge scroll\u201d sessions (sessions lasting longer than 1\u2009h). Associations were tested using Spearman correlations and negative binomial regressions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Self\u2010reports were moderately to strongly correlated with objective indicators: videos delivered (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.55), videos liked (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.59), sessions (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.65), and binge scroll sessions (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.47). Importantly, objective use varied substantially within each self\u2010report response category. For example, among participants reporting they \u201csometimes\u201d used TikTok over the past month, one was delivered 99 videos whereas another was delivered 19,526 videos, representing nearly a 200\u2010fold difference. Eating disorder diagnostic status and symptom severity did not moderate self\u2010report versus objective correspondence; however, statistical power to detect interaction effects was limited.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Self\u2010report frequency measures of social media are meaningfully correlated with objective indicators but compress substantial behavioral variability. Clinicians and researchers should interpret self\u2010reports cautiously, particularly when exposure magnitude is clinically relevant, and ought to consider objective data whenever possible.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/eat.70135","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T04:49:20Z","timestamp":1780289360000},"page":"2046-2058","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Self\u2010Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research"],"prefix":"10.1002","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6366-3560","authenticated-orcid":false,"given":"Scott","family":"Griffiths","sequence":"first","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8752-1372","authenticated-orcid":false,"given":"Emma","family":"Halliwell","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7728-1214","authenticated-orcid":false,"given":"Harish","family":"Kannan","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0091-0139","authenticated-orcid":false,"given":"Ben","family":"Stone","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"},{"name":"Unforgettable.Me  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0797-1910","authenticated-orcid":false,"given":"Wesley","family":"Grey","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1073-6371","authenticated-orcid":false,"given":"Noa","family":"Brittain","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6889-6064","authenticated-orcid":false,"given":"Eden","family":"Shaveet","sequence":"additional","affiliation":[{"name":"Bowers College of Computing and Information Science, Cornell University  New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1777-083X","authenticated-orcid":false,"given":"Emily","family":"Harris","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences, University of Melbourne  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,31]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0149\u20102063(95)90026\u20108"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021\u20109010.82.1.192"},{"key":"e_1_2_13_4_1","unstructured":"Australian Government.1988.\u201cPrivacy Act 1988 No. 119 1988. 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