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Incident 1554: NewsBreak Reportedly Published AI-Assisted Articles Containing Purportedly False Local and Community-Service Information

Description: NewsBreak reportedly published AI-assisted local articles containing purportedly false information, including a fabricated Christmas shooting in Bridgeton, New Jersey, incorrect Food to Power distribution times that caused people to be turned away, and nonexistent Harvest912 foot-care clinics. NewsBreak said the errors originated in source material and removed the articles after complaints. The specific AI models and the extent to which they contributed to the inaccuracies were not identified.
Editor Notes: Timeline notes: The date for this incident ID is 12/24/2023. The ID itself was created 06/25/2026.

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Alleged: NewsBreak developed an AI system deployed by NewsBreak and News organizations, which harmed Police departments , People seeking food assistance , People experiencing homelessness , News consumers , Journalistic integrity , Harvest912 , Food to Power , Epistemic integrity , Community service organizations and Bridgeton Police Department.
Alleged implicated AI systems: NewsBreak AI-assisted news publishing system and News aggregation platforms

Incident Stats

Incident ID
1554
Report Count
1
Incident Date
2023-12-24
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceNewsBreak: Most downloaded US news app has Chinese roots and 'writes fiction' using AI
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NewsBreak: Most downloaded US news app has Chinese roots and 'writes fiction' using AI

NewsBreak: Most downloaded US news app has Chinese roots and 'writes fiction' using AI

reuters.com

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NewsBreak: Most downloaded US news app has Chinese roots and 'writes fiction' using AI
reuters.com · 2024

LONDON, June 5 (Reuters) - Last Christmas Eve, NewsBreak, opens new tab, a free app with roots in China that is the most downloaded news app in the United States, published an alarming piece about a small town shooting. It was headlined "Ch…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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