A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration

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dc.contributor.authorMallinson, Christine
dc.contributor.authorJaneja, Vandana
dc.contributor.authorEvered, Chloe
dc.contributor.authorKhanjani, Zahra
dc.contributor.authorDavis, Lavon
dc.contributor.authorBhalli, Noshaba Nasir
dc.contributor.authorNwosu, Kifekachukwu
dc.date.accessioned2024-08-20T13:45:48Z
dc.date.available2024-08-20T13:45:48Z
dc.date.issued2024-07-09
dc.description.abstractDeepfakes, particularly audio deepfakes, have become pervasive and pose unique, ever-changing threats to society. This paper reviews the current research landscape on audio deepfakes. We assert that limitations of existing approaches to deepfake detection and discernment are areas where (socio)linguists can directly contribute to helping address the societal challenge of audio deepfakes. In particular, incorporating expert knowledge and developing techniques that everyday listeners can use to avoid deception are promising pathways for (socio)linguistics. Further opportunities exist for developing benevolent applications of this technology through generative AI methods as well.
dc.description.sponsorshipThe authors gratefully acknowledge the support of the National Science Foundation Award #2210011, including a Research Experiences for Undergraduates Supplement, as well as the UMBC Lipitz Distinguished Professorship and the UMBC CAHSS Undergraduate Student Research Assistance for Faculty Research and Creative Achievement program. We also thank the journal editors for their guidance and the anonymous reviewers for their helpful suggestions and feedback.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1111/lnc3.12527
dc.format.extent20 pages
dc.genrejournal articles
dc.genrepostprints
dc.identifierdoi:10.13016/m2w6lq-wqqh
dc.identifier.citationMallinson, Christine, Vandana P. Janeja, Chloe Evered, Zahra Khanjani, Lavon Davis, Noshaba Nasir Bhalli, and Kifekachukwu Nwosu. “A Place for (Socio)Linguistics in Audio Deepfake Detection and Discernment: Opportunities for Convergence and Interdisciplinary Collaboration.” Language and Linguistics Compass 18, no. 5 (2024): e12527. https://doi.org/10.1111/lnc3.12527.
dc.identifier.urihttps://doi.org/10.1111/lnc3.12527
dc.identifier.urihttp://hdl.handle.net/11603/35749
dc.language.isoen_US
dc.publisherWiley
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Center for Social Science Scholarship
dc.relation.ispartofUMBC Language, Literacy, and Culture Department
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Office of Institutional Advancement
dc.rightsThis is the peer reviewed version of the following article: Mallinson, Christine, Vandana P. Janeja, Chloe Evered, Zahra Khanjani, Lavon Davis, Noshaba Nasir Bhalli, and Kifekachukwu Nwosu. “A Place for (Socio)Linguistics in Audio Deepfake Detection and Discernment: Opportunities for Convergence and Interdisciplinary Collaboration.” Language and Linguistics Compass 18, no. 5 (2024): e12527. https://doi.org/10.1111/lnc3.12527., which has been published in final form at https://doi.org/10.1111/lnc3.12527. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
dc.titleA place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-0130-6135

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