0 papers in the Detection Of Ai Generated Multimedia research area.
Discover 1 peer-reviewed study in Detection Of Ai Generated Multimedia (2024). Explore research findings powered by Prolific's diverse participant panel.
This page lists 1 peer-reviewed paper in the research area of Detection Of Ai Generated Multimedia in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
Authors: D Cooke, A Edwards, S Barkoff, K Kelly
Year: 2024
Published in: arXiv preprint arXiv:2403.16760, 2024 - arxiv.org
Institution: King’s College London, Center for Strategic and International Studies
Research Area: Detection of AI-Generated Multimedia, Misinformation, Human-Computer Interaction
Discipline: Human-Computer Interaction, Artificial Intelligence, Media Studies
People struggle to distinguish AI-generated media from authentic content, with detection accuracy averaging close to chance (50%), and performance declines in certain conditions like synthetic human faces, foreign languages, or heterogeneous media modalities.
Methods: Perceptual study evaluating participants' ability to identify authentic and synthetic images, audio, video, and audiovisual stimuli under various conditions.
Key Findings: Human ability to detect AI-generated media compared to authentic media, including factors like modality, content type, foreign languages, and participant demographics.
DOI: https://doi.org/10.48550/arXiv.2403.16760
Citations: 44
Sample Size: 1276
Related Disciplines: Human-Computer Interaction, Artificial Intelligence, Media Studies
Related Institutions: King’s College London, Center for Strategic and International Studies
Researchers: D Cooke, A Edwards, S Barkoff, K Kelly
Publication Years: 2024
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