48 citations · 68 across the 4 of their papers we have counts for
4 papers
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Hannah Rose Kirk, Wenjie Yin, Bertie Vidgen +1
Online sexism is a widespread and harmful phenomenon. Automated tools can assist the detection of sexism at scale. Binary detection, however, disregards the diversity of sexist con…
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection
Wenjie Yin, Vibhor Agarwal, Aiqi Jiang +2
Supervised approaches generally rely on majority-based labels. However, it is hard to achieve high agreement among annotators in subjective tasks such as hate speech detection. Exi…
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
Wenjie Yin, Arkaitz Zubiaga
While social media offers freedom of self-expression, abusive language carry significant negative social impact. Driven by the importance of the issue, research in the automated de…
Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin, Arkaitz Zubiaga
Hate speech is one type of harmful online content which directly attacks or promotes hate towards a group or an individual member based on their actual or perceived aspects of iden…