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dc.contributor.authorSaveski, Martin
dc.contributor.authorChou, Sophie Beiying
dc.contributor.authorRoy, Deb K
dc.date.accessioned2020-06-16T18:56:00Z
dc.date.available2020-06-16T18:56:00Z
dc.date.issued2016-03
dc.identifier.urihttps://hdl.handle.net/1721.1/125823
dc.description.abstractTo investigate the effects of anonymity on user behavior, we conduct an empirical study of the new and controversial social app, Yik Yak. First, we examine how users use the platform, analyzing patterns in posting, popularity of yaks, and vocabulary. As a comparison, we look at posting patterns on Twitter, which has similar limitations on lengths of posts, but is public and global rather than anonymous and local. Upon a sample of 2.9M posts (1.9M yaks and 1M geotagged tweets) from 20 locations across the USA, we find that interactions on Yik Yak are specific to its location limitations and reflect the schedules of its targeted demographic, college students. Second, we test two hypotheses related to anonymity and communication: (i) whether vulgarity usage is more likely to be acceptable, and (ii) whether unique topics emerge in conversations on Yik Yak. We find that posts on Yik Yak are only slightly more likely to contain vulgarities, and we do not find any significant bias in topic distributions on Yik Yak versus on Twitter; however, differences in vocabulary and most discriminative words used suggest the need for further analysis.en_US
dc.language.isoen
dc.publisherAssociation for the Advancement of Artificial Intelligenceen_US
dc.relation.isversionofhttps://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13156en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleTracking the Yak: An empirical study of Yik Yaken_US
dc.typeArticleen_US
dc.identifier.citationSaveski, Martin et al. "Tracking the Yak: An Empirical Study of Yik Yak." International AAAI Conference on Web and Social Media, North America (2016).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.relation.journalTenth International AAAI Conference on Web and Social Mediaen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-23T16:50:00Z
dspace.date.submission2019-07-23T16:50:02Z


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