AI Article Synopsis

  • Recent advancements in technology have made it increasingly difficult for people to distinguish between real political speeches and deepfake videos due to hyper-realistic audio and visual effects.
  • A study involving 2,215 participants found that factors like misinformation rates and question framing did not significantly impact people’s ability to identify authenticity.
  • The research revealed that deepfake videos with advanced text-to-speech audio were harder to detect than those with voice actors, and overall, people relied more on audio and visual cues rather than the content of the speech to discern real from fake.

Article Abstract

Recent advances in technology for hyper-realistic visual and audio effects provoke the concern that deepfake videos of political speeches will soon be indistinguishable from authentic video. We conduct 5 pre-registered randomized experiments with N = 2215 participants to evaluate how accurately humans distinguish real political speeches from fabrications across base rates of misinformation, audio sources, question framings with and without priming, and media modalities. We do not find base rates of misinformation have statistically significant effects on discernment. We find deepfakes with audio produced by the state-of-the-art text-to-speech algorithms are harder to discern than the same deepfakes with voice actor audio. Moreover across all experiments and question framings, we find audio and visual information enables more accurate discernment than text alone: human discernment relies more on how something is said, the audio-visual cues, than what is said, the speech content.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368926PMC
http://dx.doi.org/10.1038/s41467-024-51998-zDOI Listing

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