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Distorting the truth versus blatant lies

The effects of different degrees of deception in domestic and foreign political deepfakes

Bibliographic Data

ID21562452
AuthorsMichael Hameleers (0000-0002-8038-5005, University of Amsterdam, corresponding author), T G L A Van Der Meer (0000-0002-7605-2021, University of Amsterdam), Tom Dobber (0000-0002-6657-4037, University of Amsterdam)
Year2024
Volume152
Pages108096
Publication date2024-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueComputers in Human Behavior (JOURNAL)
Journal identifiersISSN: 0747-5632 • E-ISSN: 1873-7692
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.chb.2023.108096
OpenAlexW4389729385
LanguageEN
Citations received16
References cited27

Political deepfakes are regarded as an urgent threat to democracy. However, we know little about how different degrees of deception in deepfakes affect recipients’ credibility perceptions and the delegitimization of the target of the deepfake. Against this backdrop, we conducted a comparative experiment in the US and the Netherlands (N = 1187) to map the effects of domestic and foreign political deepfakes delegitimizing a prominent Democrat politician. Key findings illustrate that a hyper-realistic deepfake with plausible manipulation of content is perceived as substantially more credible than deepfakes with implausible content manipulation. However, implausible deepfakes have a stronger effect on delegitimizing the depicted politician. We also show that higher scores on a cognitive reflection test correspond to a lower credibility rating for deepfakes. Our findings demonstrate that political deepfakes do not have to be rated as credible to delegitimize established politicians and suggest that analytical thinking may enhance resilience toward deepfakes

Credibility · Deception · Democracy · Economics · Political science · Politics · Positive economics · Hate Speech and Cyberbullying Detection · Law · Misinformation and Its Impacts · Psychology · Psychology of Moral and Emotional Judgment · Social Psychology

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Unique citing works16
Citations per year16
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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