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.
We want to also high- light that utilising an interpretable Bayesian infer- ence framework helps in seeing the exact compo- nents that modulate the system
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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.