Biased AI writing assistants shift users’ attitudes on societal issues
Sterling Williams-Ceci; Maurice Jakesch; Advait Bhat; Kowe Kadoma; Lior Zalmanson; Mor Naaman · 2026 · Science Advances
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to people as they write text. Can these AI writing assistants affect people’s attitudes in this…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1126/sciadv.adw5578