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New Bayesian framework models susceptibility to misinformation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new Bayesian framework called the Bounded Pragmatic Listener (BPL) to model how people are susceptible to misinformation. This framework incorporates cognitive limitations such as working memory, information bottlenecks, and sampling biases. The BPL framework was tested on the LIAR and MultiFC benchmarks, demonstrating its effectiveness in classifying veracity and supporting the concept of a "depth-mismatch paradox" in susceptibility to misinformation. AI

IMPACT Introduces a novel framework for understanding and potentially mitigating the spread of misinformation.

RANK_REASON The cluster contains an academic paper detailing a new framework for misinformation susceptibility. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Bayesian framework models susceptibility to misinformation

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The cluster contains an academic paper detailing a new framework for misinformation susceptibility. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Pranava Madhyastha ·

    A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility

    In this (work in progress) paper, we present Bounded Pragmatic Listener (or BPL), a cognitively grounded Bayesian framework for modelling susceptibility to information disorder. BPL extends Rational Speech Act theory with three cognitively motivated bounds derived from the bounde…

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