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Cited by 72Misinformation and Its ImpactsDigital Media Forensic DetectionJournalism and Media Studies

Fighting deepfakes: Media and internet giants’ converging and diverging strategies against Hi-Tech misinformation

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Vizoso, Ángel, Vaz-Álvarez, Martín, López-García, Xosé·2021·Media and Communication
DOI 10.17645/mac.v9i1.3494
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Abstract

Deepfakes, one of the most novel forms of misinformation, have become a real challenge in the communicative environment due to their spread through online news and social media spaces. Although fake news have existed for centuries, its circulation is now more harmful than ever before, thanks to the ease of its production and dissemination. At this juncture, technological development has led to the emergence of deepfakes, doctored videos, audios or photos that use artificial intelligence. Since its inception in 2017, the tools and algorithms that enable the modification of faces and sounds in audiovisual content have evolved to the point where there are mobile apps and web services that allow average users its manipulation. This research tries to show how three renowned media outlets—The Wall Street Journal, The Washington Post, and Reuters—and three of the biggest Internet-based companies—Google, Facebook, and Twitter—are dealing with the spread of this new form of fake news. Results show that identification of deepfakes is a common practice for both types of organizations. However, while the media is focused on training journalists for its detection, online platforms tended to fund research projects whose objective is to develop or improve media forensics tools.

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  • Protecting firms from deepfakes often means malicious effects do not spill over to their consumers and vice versa.

    “Thus, protecting firms from deepfakes often means malicious effects do not spill over to their consumers and vice versa (Vizoso et al., 2021).”

    From Deepfakes: Deceptions, mitigations, and opportunities (2023) · cites this paper as Vizoso et al., 2021

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Authors
Vizoso, Á., Vaz-Álvarez, M., & López-García, X.
Affiliations
Universidade de Santiago de Compostela (ES)
ORCID
Venue
Media and Communication
Publisher
Cogitatio
Published
2021-03-03
Volume
9
Issue
1
Pages
291-300
ISSN
2183-2439 (ISSN-L)
DOI
10.17645/mac.v9i1.3494
OpenAlex
W3134260932
Cited by
72
References
47
Citations by year
2026: 11 · 2025: 18 · 2024: 13 · 2023: 13 · 2022: 15 · 2021: 2
FWCI
14.90
Type
journal article
Language
en
Open access
Licence
Locations
  • Media and Communication (publishedVersion, cc-by)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Cogitatio (Cogitatio) (publishedVersion)
  • Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Hispana (submittedVersion, cc-by)
  • Repositorio institucional da Universidade de Santiago de Compostela (University of Santiago de Compostela) (submittedVersion, cc-by)
Funders
  • Ministerio de Ciencia, Innovación y Universidades (RTI2018-093346-B-C33, RTI2018)
  • European Regional Development Fund (RTI2018, RTI2018-093346- B-C33)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Social Sciences › Communication › Journalism and Media Studies
Keywords
deepfakes, misinformation, fake news, multimedia forensics, deepfake detection, media outlets, digital platforms, Google, Facebook, Twitter, Wall Street Journal, Washington Post, Reuters, journalist training, artificial intelligence

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