Leveraging Argument Structure to Predict Content Hatefulness
Information disorder is a challenging phenomenon that affects society at large. This phenomenon entails the diffusion of misleading, misinforming, and hateful content online. In different contexts, one aspect of the problem may prevail, but overall, this is a broad problem that requires comprehensive solutions. While each dimension of the problem (hate speech, disinformation, misinformation, etc.) requires in-depth analysis, in this paper, we look into the possibility of argument structure to provide relevant information to link these different areas of the problem. In particular, we focus on the WSF-ARG+ dataset, which consists of white supremacy forum messages annotated in terms of argu...
| Authors | Nicolás Benjamín Ocampo, Davide Ceolin |
|---|---|
| Primary category | cs.CL |
| Published | 4 May 2026 |
| Last updated at source | 5 May 2026 |
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