Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach

arXiv:2311.09630v2 Announce Type: replace
Abstract: Susceptibility to misinformation describes the degree of belief in unverifiable claims, a latent aspect of individuals' mental processes that is not observable. Existing susceptibility studies heavily rely on self-reported beliefs, which can be subject to bias, expensive to collect, and challenging to scale for downstream applications. To address these limitations, in this work, we propose a computational approach to model users' latent susceptibility levels. As shown in previous research, susceptibility is influenced by various factors …

abstract arxiv belief bias computational cs.cl cs.cy cs.si decoding misinformation modeling observable processes scale studies through type