BPL extends Rational Speech Act theory with recursion depth, prior compression, and availability sampling bounds to predict misinformation susceptibility, annotator disagreement, and differential effects of mis-, dis-, and mal-information, with competitive results on LIAR and MultiFC veracity tasks.
Computational Approaches to Misinformation Automated fact-checking and misinformation de- tection have been extensively surveyed (Guo et al., 2022; Thorne and Vlachos, 2018)
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A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility
BPL extends Rational Speech Act theory with recursion depth, prior compression, and availability sampling bounds to predict misinformation susceptibility, annotator disagreement, and differential effects of mis-, dis-, and mal-information, with competitive results on LIAR and MultiFC veracity tasks.