Audio Deepfake Perceptions in College Going Populations

dc.contributor.authorWatson, Gabrielle
dc.contributor.authorKhanjani, Zahra
dc.contributor.authorJaneja, Vandana
dc.date.accessioned2022-01-02T15:41:14Z
dc.date.available2022-01-02T15:41:14Z
dc.date.issued2021-12-06
dc.description.abstractDeepfake is content or material that is generated or manipulated using AI methods, to pass off as real. There are four different deepfake types: audio, video, image and text. In this research we focus on audio deepfakes and how people perceive it. There are several audio deepfake generation frameworks, but we chose MelGAN which is a non-autoregressive and fast audio deepfake generating framework, requiring fewer parameters. This study tries to assess audio deepfake perceptions among college students from different majors. This study also answers the question of how their background and major can affect their perception towards AI generated deepfakes. We also analyzed the results based on different aspects of: grade level, complexity of the grammar used in the audio clips, length of the audio clips, those who knew the term deepfakes and those who did not, as well as the political angle. It is interesting that the results show when an audio clip has a political connotation, it can affect what people think about whether it is real or fake, even if the content is fairly similar. This study also explores the question of how background and major can affect perception towards deepfakes.en_US
dc.description.urihttps://arxiv.org/abs/2112.03351en_US
dc.format.extent10 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2gyn5-p1rv
dc.identifier.urihttp://hdl.handle.net/11603/23796
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.titleAudio Deepfake Perceptions in College Going Populationsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-0130-6135en_US

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