{"total":22,"rows":[{"id":"2210.07700","title":"Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey","created":"2022-10-14","cited_by_count":80,"area":null},{"id":"2406.12223","title":"ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations","created":"2024-06-18","cited_by_count":31,"area":null},{"id":"2106.00742","title":"A systematic review of Hate Speech automatic detection using Natural Language Processing","created":"2021-05-22","cited_by_count":27,"area":null},{"id":"2111.01515","title":"Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model","created":"2021-11-02","cited_by_count":26,"area":null},{"id":"2106.05903","title":"Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate","created":"2021-06-10","cited_by_count":8,"area":null},{"id":"2108.02830","title":"Hate Speech Detection in Roman Urdu","created":"2021-08-05","cited_by_count":8,"area":null},{"id":"2108.12177","title":"Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling","created":"2021-08-27","cited_by_count":6,"area":null},{"id":"2410.21321","title":"User-Aware Multilingual Abusive Content Detection in Social Media","created":"2024-10-26","cited_by_count":6,"area":null},{"id":"2210.05480","title":"T5 for Hate Speech, Augmented Data and Ensemble","created":"2022-10-11","cited_by_count":5,"area":null},{"id":"2211.14369","title":"The Naughtyformer: A Transformer Understands Offensive Humor","created":"2022-11-25","cited_by_count":5,"area":null},{"id":"2301.11579","title":"Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech","created":"2023-01-27","cited_by_count":5,"area":null},{"id":"2403.18314","title":"Chinese Offensive Language Detection:Current Status and Future Directions","created":"2024-03-27","cited_by_count":5,"area":null},{"id":"2201.06721","title":"Selecting and combining complementary feature representations and classifiers for hate speech detection","created":"2022-01-18","cited_by_count":3,"area":null},{"id":"2402.01976","title":"MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identification","created":"2024-02-03","cited_by_count":3,"area":null},{"id":"2212.00851","title":"SOLD: Sinhala Offensive Language Dataset","created":"2022-12-01","cited_by_count":2,"area":null},{"id":"2112.11479","title":"AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection","created":"2021-12-10","cited_by_count":0,"area":null},{"id":"2206.04162","title":"Improved two-stage hate speech classification for twitter based on Deep Neural Networks","created":"2022-06-08","cited_by_count":0,"area":null},{"id":"2304.10512","title":"\"Can We Detect Substance Use Disorder?\": Knowledge and Time Aware Classification on Social Media from Darkweb","created":"2023-04-20","cited_by_count":0,"area":null},{"id":"2409.05134","title":"Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods","created":"2024-09-08","cited_by_count":0,"area":null},{"id":"2411.06855","title":"A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information","created":"2024-11-11","cited_by_count":0,"area":null},{"id":"2412.00609","title":"Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning","created":"2024-11-30","cited_by_count":0,"area":null},{"id":"2506.00583","title":"The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation","created":"2025-05-31","cited_by_count":0,"area":null}],"next_cursor":null}