Designing Effective Digital Literacy Interventions for Boosting Deepfake Discernment

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Authors: Dominique Geissler, Claire Elizabeth Robertson, Stefan Feuerriegel
Cited by: 1
References: 114

Abstract

Deepfake images can erode trust in institutions and compromise election outcomes, as people often struggle to discern real images from deepfake images. Improving digital literacy can help address these challenges. Here, we compare the efficacy of five digital literacy interventions to boost people’s ability to discern deepfakes: (1) textual guidance on common indicators of deepfakes; (2) visual demonstrations of these indicators; (3) a gamified exercise for identifying deepfakes; (4) implicit learning through repeated exposure and feedback; and (5) explanations of how deepfakes are generated with the help of AI. We conducted an experiment with N = 1, 200 participants from the United States to test the immediate and long-term effectiveness of our interventions. Our results show that our lightweight, easy-to-understand interventions can boost deepfake images discernment by up to 13 percentage points while maintaining trust in real images.

Fields of Study & Subjects

Digital literacy in education Ethics and Social Impacts of AI Misinformation and Its Impacts

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–45
Publication date
13 April 2026
Language
EN