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 …

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 …

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 …

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 …

Detection

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

Mitigation

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

Multimodal

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

Our publications

A list of our accepted publications in different venues

HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation

Despite regulations imposed by nations and social media platforms, e.g. (Government of India, 2021; European Parliament ...

Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations

There is a rapid increase in the use of multimedia content in current social media platforms. One of the highly popular forms ...

Mitigation

In the previous sections, the authors first explored how machine learning can be used to detect hate speech and later aimed ...

Detection

This chapter will discuss the techniques developed over time for hate speech detection. We will explore how hate speech detection techniques have ...

Dynamics of Toxicity in Political Podcasts

Toxicity in digital media poses significant challenges, yet little attention has been given to its dynamics within the rapidly growing ...

Multilingual and Explainable Text Detoxification with Parallel Corpora

Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the ...

Meet the Team

Principal Investigator

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Animesh Mukherjee

Professor

Researchers

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Subhankar Swain

MS student

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Naquee Rizwan

PhD student

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Sarthak Roy

PhD student

Alumni

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Binny Mathew

PhD

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Mithun Das

PhD

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Punyajoy Saha

PhD

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Somnath Banerjee

PhD

Collaborators

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Chris Biemann

Professor

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Kiran Garimella

Assistant Professor

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Alexander Panchenko

Associate Professor

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Seid Muhie Yimam

Technical Lead

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Daryna Dementieva

Posdoctoral Researcher