Looks real, feels fake
Conflict detection in deepfake videos
Bibliographic Data
| ID | 21689124 |
|---|---|
| Authors | Eva M Janssen (0000-0001-9064-8473, Utrecht University, corresponding author), Yarno F Mutis (Utrecht University), Tamara Van Gog (0000-0003-3766-6255, Utrecht University) |
| Year | 2025 |
| Volume | 31 |
| Issue | 2 |
| Pages | 237-247 |
| Publication date | 2025-04-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Thinking & Reasoning (JOURNAL) |
| Journal identifiers | ISSN: 1354-6783 • E-ISSN: 1464-0708 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13546783.2024.2391794 |
| OpenAlex | W4402747925 |
| Language | EN |
| References cited | 21 |
We investigated whether people show signs of conflict detection in both more implicit and explicit judgments about the authenticity of short video clips depicting interviews with famous American actors. If so, they would be less confident when incorrectly seeing deepfakes as authentic than when correctly seeing authentic videos as authentic. Participants (N = 128; Mage = 33.7, SD = 12.1) from the USA were recruited on Prolific. Results showed that participants were more accurate at recognising deepfakes and less accurate at recognising authentic videos when they were explicitly asked to judge if a video was authentic or deepfake compared to more implicit authenticity judgments. Interestingly, they showed signs of conflict detection both when making more implicit and explicit authenticity judgments. These findings are relevant for the literature on both conflict detection in reasoning and decision-making and on deepfake recognition, as well as for research on training people to learn to recognise deepfakes
Cognitive psychology · Epistemology · Advanced Malware Detection Techniques · Adversarial Robustness in Machine Learning · Computer Science · Evacuation and Crowd Dynamics · Philosophy · Psychology · Social Psychology
MorePower 6.0 for Anova with relational confidence intervals and Bayesian analysis
Logic, Fast and Slow
Fitting Linear Mixed-Effects Models Using lme4
Providing detection strategies to improve human detection of deepfakes
From bias to sound intuiting
Recognizing biased reasoning
“You're wrong!”
The Epistemic Threat of Deepfakes
Psychological Inoculation against Misinformation
The Liar's Dividend
Truth-Default Theory (TDT)
| Citation velocity | historical |
|---|---|
| Highly cited | No |