{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T21:04:59Z","timestamp":1773263099171,"version":"3.50.1"},"reference-count":51,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2018,5,28]],"date-time":"2018-05-28T00:00:00Z","timestamp":1527465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["New Media &amp; Society"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:p> Social media companies make important decisions about what counts as \u201cproblematic\u201d content and how they will remove it. Some choose to moderate hashtags, blocking the results for certain tag searches and issuing public service announcements (PSAs) when users search for troubling terms. The hashtag has thus become an indicator of where problematic content can be found, but this has produced limited understandings of how such content actually circulates. Using pro-eating disorder (pro-ED) communities as a case study, this article explores the practices of circumventing hashtag moderation in online pro-ED communities. It shows how (1) untagged pro-ED content can be found without using the hashtag as a search mechanism; (2) users are evading hashtag and other forms of platform policing, devising signals to identify themselves as \u201cpro-ED\u201d; and (3) platforms\u2019 recommendation systems recirculate pro-ED content, revealing the limitations of hashtag logics in social media content moderation. <\/jats:p>","DOI":"10.1177\/1461444818776611","type":"journal-article","created":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T06:16:12Z","timestamp":1527574572000},"page":"4492-4511","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":180,"title":["Beyond the hashtag: Circumventing content moderation on social media"],"prefix":"10.1177","volume":"20","author":[{"given":"Ysabel","family":"Gerrard","sequence":"first","affiliation":[{"name":"The University of Sheffield, UK"}]}],"member":"179","published-online":{"date-parts":[[2018,5,28]]},"reference":[{"key":"bibr1-1461444818776611","doi-asserted-by":"publisher","DOI":"10.24908\/ss.v6i2.3255"},{"key":"bibr2-1461444818776611","doi-asserted-by":"publisher","DOI":"10.1525\/9780520930711"},{"key":"bibr3-1461444818776611","first-page":"15","volume-title":"Twitter and Society","author":"Bruns A","year":"2014"},{"key":"bibr4-1461444818776611","doi-asserted-by":"publisher","DOI":"10.1080\/22041451.2016.1155328"},{"key":"bibr5-1461444818776611","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2016.1154086"},{"key":"bibr6-1461444818776611","first-page":"93","volume-title":"Compromised Data: From Social Media to Big Data","author":"Burgess J","year":"2015"},{"key":"bibr7-1461444818776611","doi-asserted-by":"publisher","DOI":"10.1080\/14680770600802066"},{"key":"bibr8-1461444818776611","doi-asserted-by":"crossref","unstructured":"Chancellor S, Pater JA, Clear T, et al. (2016) #thyghgapp: Instagram content moderation and lexical variation in pro-eating disorder communities. In: Proceedings of the 19th ACM conference on computer\u2013supported cooperative work & social computing, CSCW \u201916. 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