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You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights

Mithun Das , Punyajoy Saha , Ritam Dutt , Pawan Goyal , Animesh Mukherjee , Binny Mathew

* Extended Version of this paper has been accepted at ACM HT'21. Link to the Code: 

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Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages

Srijan Bansal , Vishal Garimella , Ayush Suhane , Animesh Mukherjee

* This work is accepted as a long paper in the proceedings of ACM HyperText 2021 

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[email protected]: Ensembling strategies for Transformer-based Offensive language Detection

Debjoy Saha , Naman Paharia , Debajit Chakraborty , Punyajoy Saha , Animesh Mukherjee

* 6 pages, 1 figure, 3 tables, code available at 

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"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

Punyajoy Saha , Binny Mathew , Kiran Garimella , Animesh Mukherjee

* 13 pages, 9 figures, 8 tables, Accepted at The Web Conference 2021, code and dataset public at 

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When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces

Abhisek Dash , Abhijnan Chakraborty , Saptarshi Ghosh , Animesh Mukherjee , Krishna P. Gummadi

* This work has been accepted for presentation at the ACM Conference on Fairness, Accountability, and Transparency 2021 (ACM FAccT 2021) 

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Joint Autoregressive and Graph Models for Software and Developer Social Networks

Rima Hazra , Hardik Aggarwal , Pawan Goyal , Animesh Mukherjee , Soumen Chakrabarti

* Accepted at ECIR 2021 

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HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew , Punyajoy Saha , Seid Muhie Yimam , Chris Biemann , Pawan Goyal , Animesh Mukherjee

* 12 pages, 7 figues, 8 tables. Accepted at AAAI 2021 

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Identification, Tracking and Impact: Understanding the trade secret of catchphrases

Jagriti Jalal , Mayank Singh , Arindam Pal , Lipika Dey , Animesh Mukherjee

* To be published in the proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020) 

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