Participants achieved near-chance accuracy (~50%) distinguishing real from AI-generated media across four modalities, with performance declining for faces, foreign languages, single modalities, and mixed-authenticity audiovisual clips.
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Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.
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As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli
Participants achieved near-chance accuracy (~50%) distinguishing real from AI-generated media across four modalities, with performance declining for faces, foreign languages, single modalities, and mixed-authenticity audiovisual clips.
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Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.