activity
20182025
most citedCross-lingual Capsule Network for Hate Speech Detection in Social Media

19 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Will I Get Hate Speech Predicting the Volume of Abusive Replies before Posting in Social Media

Raneem Alharthi, Rajwa Alharthi, Ravi Shekhar +2

Despite the growing body of research tackling offensive language in social media, this research is predominantly reactive, determining if content already posted in social media is…

cs.CL2024★ 4 cited

Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges

Aiqi Jiang, Arkaitz Zubiaga

The growing prevalence and rapid evolution of offensive language in social media amplify the complexities of detection, particularly highlighting the challenges in identifying such…

cs.CL2023★ 1 cited

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…

cs.CL2022

SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media

Aiqi Jiang, Arkaitz Zubiaga

The goal of sexism detection is to mitigate negative online content targeting certain gender groups of people. However, the limited availability of labeled sexism-related datasets…

cs.CL2021★ 19 cited

Cross-lingual Capsule Network for Hate Speech Detection in Social Media

Aiqi Jiang, Arkaitz Zubiaga

Most hate speech detection research focuses on a single language, generally English, which limits their generalisability to other languages. In this paper we investigate the cross-…

cs.CL2021★ 13 cited

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

Aiqi Jiang, Xiaohan Yang, Yang Liu +1

Online sexism has become an increasing concern in social media platforms as it has affected the healthy development of the Internet and can have negative effects in society. While…

cs.CL2018

Leveraging Aspect Phrase Embeddings for Cross-Domain Review Rating Prediction

Aiqi Jiang, Arkaitz Zubiaga

Online review platforms are a popular way for users to post reviews by expressing their opinions towards a product or service, as well as they are valuable for other users and comp…