2024
DOI: 10.1002/cpe.8093
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Neural network approaches for rumor stance detection: Simulating complex rumor propagation systems

Hao Li,
Wu Yang,
Wei Wang
et al.

Abstract: SummaryThis research introduces a comprehensive suite of neural network models designed to tackle the challenging task of rumor stance detection within the framework of simulating complex rumor propagation systems. Our objective centers on accurately modeling the intricate structures of rumor dialogues and propagation patterns to identify user stances—whether they are in support, denial, questioning, or commenting on rumors. Unlike conventional methods that rely on simplistic keyword targeting and fail in the … Show more

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