Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorRossi, Sippoen_US
dc.contributor.authorKwon, Youngjinen_US
dc.contributor.authorAuglend, Odd Haralden_US
dc.contributor.authorMukkamala, Raghava Raoen_US
dc.contributor.authorRossi, Mattien_US
dc.contributor.authorThatcher, Jason Bennetten_US
dc.contributor.departmentDepartment of Information and Service Managementen
dc.contributor.editorBui, Tung X.en_US
dc.contributor.organizationTemple Universityen_US
dc.contributor.organizationCopenhagen Business Schoolen_US
dc.date.accessioned2023-02-28T15:36:46Z
dc.date.available2023-02-28T15:36:46Z
dc.date.issued2023en_US
dc.description.abstractIn recent years, deep learning methods have become increasingly capable of generating near photorealistic pictures and humanlike text up to the point that humans can no longer recognize what is real and what is AI-generated. Concerningly, there is evidence that some of these methods have already been adopted to produce fake social media profiles and content. We hypothesize that these advances have made detecting generated fake social media content in the feed extremely difficult, if not impossible, for the average user of social media. This paper presents the results of an experiment where 375 participants attempted to label real and generated profiles and posts in a simulated social media feed. The results support our hypothesis and suggest that even fully-generated fake profiles with posts written by an advanced text generator are difficult for humans to identify.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationRossi, S, Kwon, Y, Auglend, O H, Mukkamala, R R, Rossi, M & Thatcher, J B 2023, Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles? in T X Bui (ed.), Proceedings of the 56th Hawaii International Conference on System Sciences. Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, United States, pp. 134-143, Annual Hawaii International Conference on System Sciences, Maui, Hawaii, United States, 03/01/2023. https://doi.org/10.24251/HICSS.2023.017en
dc.identifier.doi10.24251/HICSS.2023.017
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.issn1530-1605
dc.identifier.issn2572-6862
dc.identifier.otherPURE UUID: 97b50f11-58c9-48cf-87c4-d2ba7af9cf12en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/97b50f11-58c9-48cf-87c4-d2ba7af9cf12en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/100811582/0014.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/119899
dc.identifier.urnURN:NBN:fi:aalto-202302282237
dc.language.isoenen
dc.relation.ispartofAnnual Hawaii International Conference on System Sciencesen
dc.relation.ispartofseriesProceedings of the 56th Hawaii International Conference on System Sciencesen
dc.relation.ispartofseriespp. 134-143en
dc.relation.ispartofseriesProceedings of the Annual Hawaii International Conference on System Sciencesen
dc.rightsopenAccessen
dc.subject.keywordAdversarial behavior in collaboration and social media systemsen_US
dc.subject.keywordDeep learningen_US
dc.subject.keywordExperimenten_US
dc.subject.keywordGAN imagesen_US
dc.subject.keywordSocial botsen_US
dc.subject.keywordSocial mediaen_US
dc.titleAre Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?en
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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