CLDec 5, 2022
Fake News and Hate Speech: Language in Common
arXiv:2212.02352v11 citationsh-index: 72
Originality Synthesis-oriented
AI Analysis
This addresses the problem of understanding and potentially mitigating harmful online content for researchers and policymakers, though it is incremental in nature.
The paper investigated whether fake news and hate speech spreaders share common language patterns, finding that both phenomena exhibit an 'us vs them' narrative across three datasets.
In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup index, in three different datasets and we show that both phenomena share an "us vs them" narrative.