Looks real, feels fake: conflict detection in deepfake videos

Eva M. Janssen*, Yarno F. Mutis, Tamara van Gog

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
JournalThinking and Reasoning
DOIs
Publication statusE-pub ahead of print - 23 Sept 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Funding

This work was funded by a Dynamics of Youth (Utrecht University) Invigoration Grant.

FundersFunder number
Dynamics of Youth (Utrecht University) Invigoration Grant

    Keywords

    • confidence
    • conflict detection
    • Deepfake
    • judgement accuracy
    • video

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