Tone Control: How flattering shapes beliefs, attitudes, and engagement in fact-checking

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Authors: Jieun Shin
Cited by: 0

Abstract

AI interface offers unique affordance such as controllable tone which can shape how users evaluate factual information and construct beliefs. This trend underscores an emerging expectation that AI systems should be adaptable to users' communicative style, a factor that can subtly influence how people assess credibility and process factual information. Examining diverse communication styles afforded by AI in fact-checking contexts may offer promising directions that have previously been under-explored.

Fields of Study & Subjects

Misinformation and Its Impacts Innovative Human-Technology Interaction Social Robot Interaction and HRI

Publication details

Journal / source
Open Science Framework
Publication date
1 January 2026