7 citations · 35 across the 14 of their papers we have counts for
15 papers
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi
Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi +2
With the rise of online abuse, the NLP community has begun investigating the use of neural architectures to generate counterspeech that can "counter" the vicious tone of such abusi…
Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations
Naquee Rizwan, Paramananda Bhaskar, Mithun Das +3
There is a rapid increase in the use of multimedia content in current social media platforms. One of the highly popular forms of such multimedia content are memes. While memes have…
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification
Mithun Das, Animesh Mukherjee
The dramatic increase in the use of social media platforms for information sharing has also fueled a steep growth in online abuse. A simple yet effective way of abusing individuals…
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection
Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee
Hate speech is a severe issue that affects many online platforms. So far, several studies have been performed to develop robust hate speech detection systems. Large language models…
HateMM: A Multi-Modal Dataset for Hate Video Classification
Mithun Das, Rohit Raj, Punyajoy Saha +3
Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world. Due to this, hate speech research has rec…
HateProof: Are Hateful Meme Detection Systems really Robust?
Piush Aggarwal, Pranit Chawla, Mithun Das +4
Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-moda…
Hate Speech and Offensive Language Detection in Bengali
Mithun Das, Somnath Banerjee, Punyajoy Saha +1
Social media often serves as a breeding ground for various hateful and offensive content. Identifying such content on social media is crucial due to its impact on the race, gender,…
Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments
Millon Madhur Das, Punyajoy Saha, Mithun Das
The proliferation of online hate speech has necessitated the creation of algorithms which can detect toxicity. Most of the past research focuses on this detection as a classificati…
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models
Mithun Das, Punyajoy Saha, Binny Mathew +1
Due to the sheer volume of online hate, the AI and NLP communities have started building models to detect such hateful content. Recently, multilingual hate is a major emerging chal…
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological effects on the target users. Thus, the problem o…
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Social media platforms often act as breeding grounds for various forms of trolling or malicious content targeting users or communities. One way of trolling users is by creating mem…
Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach
Mithun Das, Somnath Banerjee, Punyajoy Saha
Online hatred is a growing concern on many social media platforms. To address this issue, different social media platforms have introduced moderation policies for such content. The…
Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages
Somnath Banerjee, Maulindu Sarkar, Nancy Agrawal +2
Hate speech is considered to be one of the major issues currently plaguing online social media. Repeated and repetitive exposure to hate speech has been shown to create physiologic…
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
Mithun Das, Punyajoy Saha, Ritam Dutt +3
Hate speech is regarded as one of the crucial issues plaguing the online social media. The current literature on hate speech detection leverages primarily the textual content to fi…
Mining the online infosphere: A survey
Sayantan Adak, Souvic Chakraborty, Paramtia Das +7
The evolution of AI-based system and applications had pervaded everyday life to make decisions that have momentous impact on individuals and society. With the staggering growth of…