6 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
A Survey on Natural Language Processing for Fake News Detection
Ray Oshikawa, Jing Qian, William Yang Wang
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase i…
Hierarchical CVAE for Fine-Grained Hate Speech Classification
Jing Qian, Mai ElSherief, Elizabeth Belding +1
Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories. In this paper, we propose a novel…
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Jing Qian, Mai ElSherief, Elizabeth M. Belding +1
Hate speech detection is a critical, yet challenging problem in Natural Language Processing (NLP). Despite the existence of numerous studies dedicated to the development of NLP hat…