Understanding Toxicity Triggers on Reddit in the Context of Singapore
Not on the map. Why?
Abstract (arXiv)
While the contagious nature of online toxicity sparked increasing interest in its early detection and prevention, most of the literature focuses on the Western world. In this work, we demonstrate that 1) it is possible to detect toxicity triggers in an Asian online community, and 2) toxicity triggers can be strikingly different between Western and Eastern contexts.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 6 of its 24 references that are in the map. First posted on arXiv 19 Apr 2022.
Builds on
6 of 24 references.
References · 6
- 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
- 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 736
- 2020The Pushshift Reddit Datasetcited by 292
- 2017Scattertext: a Browser-Based Tool for Visualizing how Corpora Differcited by 22
- 2021Predicting Anti-Asian Hateful Users on Twitter during COVID-19cited by 11
- 2015Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Gamescited by 10
Built on by
Citing papers per year: 2023: 2; 2024: 1.
3 papers.
- 2023BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Modelscited by 18
- 2023A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicitycited by 4
- 2024PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERTcited by 3
- 2024PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT11 Aug 2024
- 2023A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity7 Nov 2023
- 2023BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models12 Sep 2023