Testing the perception of LLM news quality ratings

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Authors: Folco Panizza, Piero Ronzani, Jon Roozenbeek
Cited by: 0

Abstract

Large Language Models (LLMs) are tools that can be used to generate but also to evaluate content. Given the massive proliferation of online news content, LLMs can be used as additional tools for users to evaluate the quality of information they receive. In this experiment, we test one such tool. Specifically, we assess: - its appeal, whether users actually engage with the tool; - its perceived benefits, whether users think the tool conceptually and practically makes sense;

Fields of Study & Subjects

Misinformation and Its Impacts Information Retrieval and Search Behavior Recommender Systems and Techniques

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint