| Handling Bias in Toxic Speech Detection: A Survey T Garg, S Masud, T Suresh, T Chakraborty ACM CSUR, 2022 | 96 | 2022 |
| Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter S Masud, S Dutta, S Makkar, C Jain, V Goyal, A Das, T Chakraborty IEEE ICDE 2021, 2020 | 51 | 2020 |
| Fake News Detection System using XLNet model with Topic Distributions A Gautam, V V, S Masud Shared Task@CONSTRAINT Workshop, AAAI 2021, 2021 | 46* | 2021 |
| Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization S Masud, M Bedi, MA Khan, MS Akhtar, T Chakraborty KDD 2022, 2022 | 26 | 2022 |
| Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction S Dutta, S Masud, S Chakrabarti, T Chakraborty ACM SIGKDD 2020, 2020 | 24 | 2020 |
| Nipping in the bud: detection, diffusion and mitigation of hate speech on social media T Chakraborty, S Masud ACM SIGWEB Newsletter 2022 (Winter), 1-9, 2022 | 16* | 2022 |
| Framework to extract context vectors from unstructured data using big data analytics T Ahmad, R Ahmad, S Masud, F Nilofer IEEE 9th International Conference on Contemporary Computing (IC3), 2016, 2016 | 11 | 2016 |
| Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection S Masud, MA Khan, MS Akhtar, T Chakraborty FIRE 2024, 2023 | 8 | 2023 |
| Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment A Kulkarni, S Masud, V Goyal, T Chakraborty KDD 2023, 2023 | 8 | 2023 |
| Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech S Satapara, S Masud, H Madhu, MA Khan, MS Akhtar, T Chakraborty, ... Proceedings of the 15th Annual Meeting of the Forum for Information …, 2023 | 6 | 2023 |
| DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks D Sahnan, V Goel, S Masud, C Jain, V Goyal, T Chakraborty ACM TKDD, 2021 | 6 | 2021 |
| Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech N Yadav, S Masud, V Goyal, MS Akhtar, T Chakraborty ACL (Findings) 2024, 2024 | 5 | 2024 |
| Judging the creative prowess of AI T Chakraborty, S Masud Nature Machine Intelligence 5 (6), 558-558, 2023 | 4 | 2023 |
| Automated software selection using matrix factorization A Gupta, A Shah, M Sarah US Patent 10,996,944, 2021 | 4 | 2021 |
| Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. S Masud, P Pinkesh, A Das, M Gupta, P Nakov, T Chakraborty Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 3 | 2022 |
| Hate Personified: Investigating the role of LLMs in content moderation S Masud, S Singh, V Hangya, A Fraser, T Chakraborty EMNLP 2024, 2024 | 2 | 2024 |
| Probing Critical Learning Dynamics of PLMs for Hate Speech Detection S Masud, MA Khan, V Goyal, MS Akhtar, T Chakraborty EACL (Findings) 2024, 2024 | 2 | 2024 |
| Political mud slandering and power dynamics during Indian assembly elections S Masud, T Chakraborty Social Network Analysis and Mining 13 (1), 108, 2023 | 2 | 2023 |
| Focal inferential infusion coupled with tractable density discrimination for implicit hate detection S Masud, A Bajpai, T Chakraborty Natural Language Processing, 1-27, 2024 | 1* | 2024 |
| The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity T Chakraborty, S Masud Communications of the ACM, 2024 | 1 | 2024 |
Tanmoy ChakrabortyIIT Delhi, IndiaVerified email at iitd.ac.in