English(EN) A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility

新的贝叶斯框架模拟易受虚假信息影响的程度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-10 11:37

研究人员开发了一个名为“有界实用主义听者”（BPL）的新贝叶斯框架，用于模拟人们易受虚假信息影响的程度。该框架纳入了工作记忆、信息瓶颈和抽样偏差等认知限制。BPL框架在LIAR和MultiFC基准上进行了测试，证明了其在分类真实性方面的有效性，并支持易受虚假信息影响的“深度不匹配悖论”概念。 AI

影响引入了一个新的框架，用于理解和潜在地缓解虚假信息的传播。

排序理由该集群包含一篇学术论文，详细介绍了易受虚假信息影响程度的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Pranava Madhyastha · 2026-05-10 11:37

一种认知基础的贝叶斯框架用于误导信息易感性研究

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…