Modeling unobservable susceptibility at EMNLP 2024Sep 19, 2024Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational ApproachYanchen Lin, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi YangEMNLP, 2024We propose a computational model to infer users' susceptibility levels given their activities. Since user's susceptibility is a key indicator for their reposting behavior, we utilize the supervision from the observable sharing behavior to infer the underlying susceptibility tendency. Building upon such large-scale susceptibility labeling, we further conduct a comprehensive analysis of how different social factors relate to susceptibility. PDF Cite DOILast updated on Sep 19, 2024Conference NAACL ← Awarded the J.P. Morgan Chase AI PhD Fellowship 🏆 Sep 29, 2024Awarded the Amazon Fellowship 🏆 Jul 10, 2024 →