About us

Hate alert is a group of researchers at CNeRG Lab, IIT Kharagpur, India. Our vision is to bring civility in online conversations by building systems to analyse, detect and mitigate hate in online social media. We have published papers in top conferences like NeurIPS, LREC, AAAI, IJCAI, WWW, ECML-PKDD, CSCW, ICWSM, HyperText and WebSci.

Some of the important links for researchers

Tutorials

Our talks and tutorials at various venues

Hate speech: Detection, Mitigation and Beyond @WSDM

In this translation style tutorial presented at WSDM 2023, we present an exposition of hate speech detection and mitigation and also …
Mar 27, 2023 8:30 AM — 11:30 AM
Hate Alert
Code Follow

Hate speech: Detection, Mitigation and Beyond @AAAI

In this translation style tutorial presented at AAAI 2022, we present an exposition of hate speech detection and mitigation and also …
Feb 23, 2022 10:00 PM — 11:30 PM
Hate Alert
Slides Follow

Hate speech: Detection, Mitigation and Beyond @ICWSM

In this translation style tutorial presented at ICWSM 2021, we present an exposition of hate speech detection and mitigation and also …
Jun 7, 2021 6:30 PM — 8:00 PM
Hate Alert
Code Slides Video Follow

Research areas

Research directions we are currently focusing on

Analysis

We analyze the spread of hate speech in online social media platforms like Twitter, Facebook, Gab etc. We observe that hate speech is …
Hate Alert

Detection

Hate speech detection is a challenging task. We now have several datasets available based on different criterias language, domain, …
Hate Alert

Mitigation

To deter the spread of hate speech, organizations have adopted several policies. These include the general policies like deletion of …
Hate Alert

Our publications

A list of our accepted publications in different venues

Rationale-Guided Few-Shot Classification to Detect Abusive Language

Abusive language is a concerning problem in online social media. Past research on detecting abusive language covers different …
Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee
Preprint Code Project

On the rise of fear speech in online social media

Recently, social media platforms are heavily moderated to prevent the spread of online hate speech, which is usually fertile in toxic …
Punyajoy Saha, Kiran Garimella, Narla Komal Kalyana, Saurabh Kumar Pandeya, Pauras Mangesh Meher, Binny Mathew, Animesh Mukherjee
Preprint PDF Code Project

HateMM: A Multi-Modal Dataset for Hate Video Classification

Hate speech has become one of the most significant issues inmodern society, having implications in both the online and theoffline …
Preprint PDF Code Project Project

Multilingual Abusive Comment Detection at Scale for Indic Languages

Due to the sheer volume of online hate, the AI and NLP communities have started building models to detect such hateful content. …
Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, Hastagiri Prakash Vanchinathan, Animesh Mukherjee
Preprint Code Project Project

Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments

The proliferation of online hate speech has necessitated the creation of algorithms which can detect toxicity. Most of the past …
Preprint Project Project

CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech

Recently, many studies have tried to create generation models to assist counter speakers by providing counterspeech suggestions for …
Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee
Preprint Code Project

Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological …
Preprint PDF Code Project Project

HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

Due to the sheer volume of online hate, the AI and NLP communities have started building models to detect such hateful content. …
Preprint Code Project Project

Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach

Online hatred is a growing concern on many social media platforms. To address this issue, different social media platforms have …
Code Project Source Document

Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages

Hate speech is considered to be one of the major issues currently plaguing online social media. Repeated and repetitive exposure to …
Project Project Source Document
See all publications

Meet the Team

Principal Investigators

Avatar

Animesh Mukherjee

Associate Professor

Avatar

Pawan Goyal

Assistant Professor

Researchers

Avatar

Binny Mathew

PhD student

Avatar

Mithun Das

PhD student

Avatar

Punyajoy Saha

PhD student

Avatar

Somnath Banerjee

PhD student

Collaborators

Avatar

Chris Biemann

Professor

Avatar

Kiran Garimella

Assistant Professor

Avatar

Vikram Gupta

Data Scientist