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A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning
[article]
2022
arXiv
pre-print
The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time. Recent studies reveal that rumor detection and stance detection are two different but relevant tasks which can jointly enhance each other, e.g., rumors can be debunked by cross-checking the stances conveyed by their relevant microblog posts, and stances are also conditioned on the nature of the rumor.
arXiv:2204.02626v2
fatcat:xtjmy5j2lfhcfmbauxmi2l6ppa