Relevance theory for mapping cognitive biases in fact-checking: an argumentative approach.

ABSTRACT: In the fast-paced, densely populated information landscape shaped by digitization, distinguishing information from misinformation is critical. Fact-checkers are effective in fighting fake news but face challenges such as cognitive overload and time pressure, which increase susceptibility to cognitive biases. Establishing standards to mitigate these biases can improve the quality of fact-checks, bolster audience trust, and protect against reputation attacks from disinformation actors. While previous research has focused on audience biases, we propose a novel approach grounded on relevance theory and the argumentum model of topics to identify (i) the biases intervening in the fact-checking process, (ii) their triggers, and (iii) at what level of reasoning they act. We showcase the predictive

SUBMITTER: Masotina M 

PROVIDER: S-EPMC11670370 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature