Our papers

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

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 find hateful posts and subsequently identify hateful users. However, …

Hate-Alert@ DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection

Social media often acts as breeding grounds for different forms of offensive content. For low resource languages like Tamil, the situation is more complex due to the poor performance of multilingual or language-specific models and lack of proper …

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

WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp has become a powerful and cheap tool for political campaigning being widely used during the 2019 Indian general election, where it was used to connect to the …

Using Knowledge Graphs to Improve Hate Speech Detection

With the increasing cases of online hate speech, there is an urgentdemand for better hate speech detection systems. In this paper, weutilize Knowledge Graphs (KGs) to improve hate speech detection.Our initial results shows that incorporating …

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the bias and interpretability aspects of hate speech. In this paper, we …

Hate begets Hate: A Temporal Study of Hate Speech

With the ongoing debate on ‘freedom of speech’ vs. ‘hate speech,’ there is an urgent need to carefullyunderstand the consequences of the inevitable culmination of the two, i.e., ‘freedom of hate speech’ over time.An ideal scenario to understand this …

Deep Learning Models for Multilingual Hate Speech Detection

Hate speech detection is a challenging problem with most of the datasets available in only one language: English. In this paper, we conduct a large scale analysis of multilingual hate speech in 9 languages from 16 different sources. We observe that …

Interaction dynamics between hate and counter users on Twitter

Social media platforms usually tackle the proliferation of hate speech by blocking/suspending the message or account. One of the major drawback of such measures is the restriction of free speech. In this paper, we investigate the interaction of …

HateMonitors: Language Agnostic Abuse Detection in Social Media

Reducing hateful and offensive content in online social media pose a dual problem for the moderators. On the one hand, rigid censorship on social media cannot be imposed. On the other, the free flow of such content cannot be …

Spread of hate speech in online social media

The present online social media platform is afflicted with several issues, with hate speech being on the predominant forefront. The prevalence of online hate speech has fueled horrific real-world hate-crime such as the mass-genocide of Rohingya …