Hatexplain: A benchmark dataset for explainable hate speech detection B Mathew, P Saha, SM Yimam, C Biemann, P Goyal, A Mukherjee Proceedings of the AAAI conference on artificial intelligence 35 (17), 14867 …, 2021 | 492 | 2021 |
A deep dive into multilingual hate speech classification SS Aluru, B Mathew, P Saha, A Mukherjee Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 206* | 2021 |
Thou shalt not hate: Countering online hate speech B Mathew, P Saha, H Tharad, S Rajgaria, P Singhania, SK Maity, P Goyal, ... Proceedings of the international AAAI conference on web and social media 13 …, 2019 | 197 | 2019 |
Hate begets hate: A temporal study of hate speech B Mathew, A Illendula, P Saha, S Sarkar, P Goyal, A Mukherjee Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-24, 2020 | 108* | 2020 |
Hateminers: Detecting hate speech against women P Saha, B Mathew, P Goyal, A Mukherjee arXiv preprint arXiv:1812.06700, 2018 | 53 | 2018 |
“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups P Saha, B Mathew, K Garimella, A Mukherjee Proceedings of the Web conference 2021, 1110-1121, 2021 | 52 | 2021 |
Hate-alert@ dravidianlangtech-eacl2021: Ensembling strategies for transformer-based offensive language detection D Saha, N Paharia, D Chakraborty, P Saha, A Mukherjee arXiv preprint arXiv:2102.10084, 2021 | 42 | 2021 |
Exploring transformer based models to identify hate speech and offensive content in english and indo-aryan languages S Banerjee, M Sarkar, N Agrawal, P Saha, M Das arXiv preprint arXiv:2111.13974, 2021 | 40 | 2021 |
Hatemonitors: Language agnostic abuse detection in social media P Saha, B Mathew, P Goyal, A Mukherjee arXiv preprint arXiv:1909.12642, 2019 | 31 | 2019 |
CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech P Saha, K Singh, A Kumar, B Mathew, A Mukherjee arXiv preprint arXiv:2205.04304, 2022 | 30 | 2022 |
Hate speech in online social media M Das, B Mathew, P Saha, P Goyal, A Mukherjee ACM SIGWEB Newsletter 2020 (Autumn), 1-8, 2020 | 30 | 2020 |
Abusive and threatening language detection in urdu using boosting based and bert based models: A comparative approach M Das, S Banerjee, P Saha arXiv preprint arXiv:2111.14830, 2021 | 28 | 2021 |
On the rise of fear speech in online social media P Saha, K Garimella, NK Kalyan, SK Pandey, PM Meher, B Mathew, ... Proceedings of the National Academy of Sciences 120 (11), e2212270120, 2023 | 27 | 2023 |
Hate speech and offensive language detection in bengali M Das, S Banerjee, P Saha, A Mukherjee arXiv preprint arXiv:2210.03479, 2022 | 23 | 2022 |
Multilingual Abusive Comment Detection at Scale for Indic Languages V Gupta, S Roychowdhury, M Das, S Banerjee, P Saha, B Mathew, ... Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 19 | 2022 |
You too brutus! trapping hateful users in social media: Challenges, solutions & insights M Das, P Saha, R Dutt, P Goyal, A Mukherjee, B Mathew Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 79-89, 2021 | 19 | 2021 |
Hatemm: A multi-modal dataset for hate video classification M Das, R Raj, P Saha, B Mathew, M Gupta, A Mukherjee Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 13 | 2023 |
Hatecheckhin: Evaluating hindi hate speech detection models M Das, P Saha, B Mathew, A Mukherjee arXiv preprint arXiv:2205.00328, 2022 | 13 | 2022 |
Probing LLMs for hate speech detection: strengths and vulnerabilities S Roy, A Harshavardhan, A Mukherjee, P Saha arXiv preprint arXiv:2310.12860, 2023 | 8 | 2023 |
HateProof: Are Hateful Meme Detection Systems really Robust? P Aggarwal, P Chawla, M Das, P Saha, B Mathew, T Zesch, A Mukherjee Proceedings of the ACM Web Conference 2023, 3734-3743, 2023 | 6 | 2023 |