The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
Politics and porn: how news media characterizes problems presented by deepfakes
Open accessAbstract
“Deepfake” is a form of machine learning that creates fake videos by superimposing the face of one person on to the body of another in a new video. The technology has been used to create non-consensual fake pornography and sexual imagery, but there is concern that it will soon be used for politically nefarious ends. This study seeks to understand how the news media has characterized the problem(s) presented by deepfakes. We used discourse analysis to examine news articles about deepfakes, finding that news media discuss the problems of deepfakes in four ways: as (too) easily produced and distributed; as creating false beliefs; as undermining the political process; and as non-consensual sexual content. We provide an overview of how news media position each problem followed by a discussion about the varying degrees of emphasis given to each problem and the implications this has for the public’s perception and construction of deepfakes.
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Citations
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Cited by
Sorted by citations
Deepfake detection using deep learning methods: A systematic and comprehensive review
Heidari, A., Jafari Navimipour, N., Dag, H., & Unal, M. (2024) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1520 · Cited by 349
“…using classic visual effects or computer graphics, DL methods, including auto-encoders and generative adversarial networks (GANs), have since been extensively used in the computer vision sector and are the most recent popular underlying mechanism for deepfake generation (Gosse & Burkell, 2020).”
MethodPawelec, M. (2022) · Digital Society · doi:10.1007/s44206-022-00010-6 · Cited by 131
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BackgroundImpact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications
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Metadata
- Authors
- Gosse, C., & Burkell, J.
- Affiliations
- Western University (CA)
- Corresponding author
- Gosse, Chandell
- Venue
- Critical Studies in Media Communication
- Publisher
- Informa UK Limited
- Published
- 2020-10-19
- Volume
- 37
- Issue
- 5
- Pages
- 497-511
- ISSN
- 1479-5809 (ISSN-L)
- 1529-5036
- OpenAlex
- W3094359535
- Cited by
- 148
- References
- 23
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 19 · 2023: 69 · 2022: 19 · 2021: 2 · 2020: 1
- FWCI
- 30.36
- Type
- journal article
- Language
- en
- Open access
- green
- ir.lib.uwo.ca
- Locations
- Critical Studies in Media Communication (publishedVersion)
- Scholarship@Western (Western University) (submittedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada (895-2015-1002)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › News Media Framing and Political Communication
- Social Sciences › Gender Studies › Gender, Feminism, and Media
- Keywords
- deepfakes, news framing, political manipulation, misinformation, public perception, media discourse
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