Animesh Mukherjee


Sorry No Pic

Present Affiliation:

Professor
Department of Computer Science and Engineering,
Indian Institute of Technology, Kharagpur, Poschimbongo, India -- 721302,
Distinguished Member, ACM
A K Singh Chair -- (2018 - 2022)
Humboldt Fellow (Experienced Researchers) -- (2018 - 2022)
Simons Associate, ICTP, Trieste, Italy -- (2014 - 2017)

Phone: +91-3222283472 (Office)    +91-3222283473 (Residence)
Email: animeshm-at-cse-dot-iitkgp-dot-ac-dot-in

Brief Bio:

Presently I am a Full Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. Prior to this, I was working as a post doctoral researcher in the Complex Systems Lagrange Lab, ISI Foundation, Italy. I received my PhD from the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur with a thesis on self-organization of human speech sound inventories. My main research interests center around content governance which includes (i) content moderation (harmful content analysis, detection, and mitigation), (ii) content dissemination (fairness issues in e-commerce platforms and interfaced systems like facial recognition, automatic speech recognition etc.), and (iii) content maintenance (quality analysis and improvement of encyclopaedia like Wikipedia and large software systems like Ubuntu releases). In all these applications, I extensively use concepts from NLP, IR, and network science.

Note to aspiring applicants:

  1. For Post-Doc: The Institute now has a regularized procedure to appoint post-docs. Interested candidates may directly write to me with a copy of their recent resume and one letter of recommendation. The formal process for application is outlined here.
  2. For PhD: The Institute has a centralized policy for PhD entrance. You can apply here. The syllabus for the entrance test is here.

News/Upcoming Events:

Year 2024


New paper accepted in ICWSM 2024: A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos.

New paper accepted in EACL 2024 (Findings): Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi.

Year 2023


New paper accepted in EMNLP 2023: BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification.

New paper accepted in EMNLP 2023 (Findings): Probing LLMs for hate speech detection: strengths and vulnerabilities.

New paper accepted in Journal of Physics: Complexity: Modeling interdisciplinary interactions among physics, mathematics and computer science.

My new book AI and Ethics: A Computational Perspective is available online now.

Sagnik receives the competitive DAAD KOSPIE 2023-2024 Fellowship.

New paper accepted in ECAI 2023: Rationale-Guided Few-Shot Classification to Detect Abusive Language.

New paper accepted in ASONAM 2023: Auditing Gender Analyzers on Text Data.

New paper accepted in ASONAM 2023: Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities.

New paper accepted in ACM TKDD: Improving Node Classification Accuracy of GNN through Input and Output Intervention.

Our PNAS paper recently got covered in NYTimes. Read Few Are Addressing One of Social Media’s Greatest Perils

I shall serve as a Senior Area Chair of EMNLP 2023 (Track: Computational Social Science and Cultural Analytics).

New paper accepted in PNAS: On the rise of fear speech in online social media.

New short paper accepted in ACL 2023 (Findings): Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks.

New paper accepted in The WebConf 2023: HateProof: Are Hateful Meme Detection Systems really Robust?

New paper accepted in The WebConf 2023 (The History of the Web Track): A History of Diversity in the Web (Conference).

New paper accepted in ICWSM 2023 (dataset track): HateMM: A Multi-modal Dataset for Hate Video Classification.

New short paper accepted in The WebSci 2023: Transfer Learning for Multilingual Abusive Meme Detection.

New paper accepted in The WebSci 2023: Diversity matters: Robustness of bias measurements in Wikidata.

Team Hate-Alert shall be delivering a tutorial titled Hate speech: Detection, Mitigation and Beyond at WSDM 2023.

New paper accepted in ICWSM 2023: "Dummy Grandpa, do you know anything?”: Identifying and Characterizing Ad hominem Fallacy Usage in the Wild.

I shall serve as an Area Chair of AAAI 2023.

I shall serve as an Associate Chair of CSCW 2023.

Year 2022


I become an ACM Distinguished Member.

New paper accepted in NeurIPS 2022 Datasets and Benchmarks: MACD: Multilingual Abusive Comment Detection at Scale for Indic Languages.

New paper accepted in ICADL 2022: Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction.

New paper accepted in AACL-IJCNLP 2022: Hate Speech and Offensive Language Detection in Bengali.

New paper accepted in ACM TALLIP: Transfer Learning for Low Resource Multilingual Relation Classification.

New paper accepted in ECML-PKDD 2022: Is this bug severe? A text-cum-graph based model for bug severity prediction.

New paper accepted in ECML-PKDD 2022: Placing (Historical) Facts on a Timeline: A Classification cum Co-ref Resolution Approach.

New paper accepted in ECAI-IJCAI 2022: CounterGEDI: a controllable approach to generate polite, detoxified and emotional counterspeech.

New late breaking paper accepted in SocInfo 2022: Decoding Demographic un-fairness from Indian Names.

New paper accepted in SocInfo 2022: (Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India.

New paper accepted in ACM Hypertext 2022: Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages.

New paper accepted in SNAM: Constant Community Identification in Million Scale Networks.

Siddharth receives the very prestigious Prime Minister Research Fellowship (PMRF).

New paper accepted in NAACL 2022 (Findings): CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection.

New paper accepted in LREC 2022: HateCheckHIn: Evaluating Hindi Hate Speech Detection Models.

I shall serve as the Tutorial Co-Chair of CoDS-COMAD 2022.

I shall serve as the Track Co-Chair (Algorithm and Theory track) of IEEE MASS 2022.

I shall serve as the Associate Editor of Advances in Complex systems for the next 2 years. Please consider submitting your paper to this excellent journal!

New paper accepted in The WebConf 2022: Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers.

Wikimedia foundation invites us to present our work on "patterns of quality changes in Wikipedia articles" in their research showcase series.

New case study paper accepted in CHI 2022: Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items.

New paper accepted in ICWSM 2022: Two-Face: Adversarial Audit of Commercial Face Recognition Systems.

New paper accepted in CSCW 2022: Quality Change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia.

New paper accepted in IEEE TCSS: FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms.

We shall be delivering a tutorial titled Hate speech: Detection, Mitigation and Beyond at AAAI 2022.

Year 2021


We receive this year's Best Student Paper Award at ICADL for our paper: When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia.

New short paper accepted in ASONAM 2021: Constant Community Identification in Million Scale Networks Using Image Thresholding Algorithms.

We receive this year's Ted Nelson Best Newcomer Paper Award at ACM Hypertext for our paper: You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights.

New paper accepted in CoNLL 2021: A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification.

New paper accepted in ICADL 2021: When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia.

New survey paper accepted in WIREs Data Mining and Knowledge Discovery journal: Mining the Online Inphosphere: A survey.

New paper accepted in The Hypertext 2021: Debiasing Multilingual Word Embeddings: A Case Study of Three IndianLanguages.

New paper accepted in The Hypertext 2021: You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights.

Our ICWSM 2021 tutorial on Hate speech: Detection, Mitigation and Beyond can be accessed here.

Team Hate-Alert has been invited to showcase their CSCW 2020 work on Hate begets Hate: A Temporal Study of Hate Speech at the India HCI 2021.

Team Hate-Alert to set the scene at "Incitement to violence in E2EE platforms" workshop, organised by the Stanford Internet Observatory.

Punyajoy receives the very prestigious Prime Minister Research Fellowship (PMRF).

New abstract (peer-reviewed) accepted in IC2S2 2021: "Short is the Road that Leads from Fear to Hate'': Fear Speech in Indian WhatsApp Groups.

New paper accepted in The SNAM Journal: A core-periphery structure based network embedding approach.

We shall be delivering a tutorial titled Hate speech: Detection, Mitigation and Beyond at ICWSM 2021.

New paper accepted in The WebConf 2021: "Short is the Road that Leads from Fear to Hate'': Fear Speech in Indian WhatsApp Groups.

New paper accepted in AAAI 2021: HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection.

New paper accepted in ACM FAccT 2021: When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces.

New paper accepted in ECIR 2021: Joint Autoregressive and Graph Models for Software and Developer Social Networks.