{"total":16,"rows":[{"id":"2202.00126","title":"Handling Bias in Toxic Speech Detection: A Survey","created":"2022-01-26","cited_by_count":61,"area":null},{"id":"2102.08924","title":"Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection","created":"2021-02-17","cited_by_count":15,"area":null},{"id":"2209.11354","title":"Convolutional Learning on Multigraphs","created":"2022-09-23","cited_by_count":10,"area":null},{"id":"2306.01105","title":"Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment","created":"2023-06-01","cited_by_count":7,"area":null},{"id":"2403.15279","title":"Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions","created":"2024-03-22","cited_by_count":7,"area":null},{"id":"2406.00046","title":"Hate Speech Detection with Generalizable Target-aware Fairness","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2508.08274","title":"Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition","created":"2025-07-30","cited_by_count":5,"area":null},{"id":"2302.02479","title":"Hatemongers ride on echo chambers to escalate hate speech diffusion","created":"2023-02-05","cited_by_count":4,"area":null},{"id":"2412.20541","title":"SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes","created":"2024-12-29","cited_by_count":4,"area":null},{"id":"2201.00961","title":"Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media","created":"2022-01-04","cited_by_count":2,"area":null},{"id":"2505.11958","title":"Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2503.03005","title":"Will I Get Hate Speech Predicting the Volume of Abusive Replies before Posting in Social Media","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2107.08347","title":"Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19","created":"2021-07-18","cited_by_count":0,"area":null},{"id":"2507.20614","title":"Before the Outrage: Challenges and Advances in Predicting Online Antisocial Behavior","created":"2025-07-28","cited_by_count":0,"area":null},{"id":"2605.27584","title":"Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.21284","title":"news-crawler-LM: A Small Long-Context Model For High-Quality News Crawling","created":"2026-07-23","cited_by_count":0,"area":null}],"next_cursor":null}