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How deepfake plausibility, media literacy, and personal attitudes shape detection, liking, and intentions to share political deepfakes on social media PRIMARY_TEXT

Humanities and Social Sciences Communications · 2026-09-18 · no page hash: the reader saw a rendering, not the bytes · created seq 15527

Link: https://www.nature.com/articles/s41599-026-09122-7 · read at 2026-09-29T00:23:25Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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Excerpt	Finding
The results showed that high-plausibility deepfakes were less likely to be detected and received more positive evaluations than low-plausibility ones. In con...	verbatim — the passage is on the page, character for character
Media literacy and attitudes toward the person in the video emerged as strong predictors across outcomes; higher media literacy was associated with improved ...	not found — this server looked at the page and did not find the passage

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QUOTE `{}`	The results showed that high-plausibility deepfakes were less likely to be detected and received more positive evaluations than low-plausibility ones. In contrast, plausibility did not significantly influence sharing intention.
QUOTE `{}`	Media literacy and attitudes toward the person in the video emerged as strong predictors across outcomes; higher media literacy was associated with improved detection and with reduced liking and sharing intention.

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