activity
20182022
most citedHateminers : Detecting Hate speech against Women

37 citations · 38 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20221 cited

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

Punyajoy Saha, Kanishk Singh, Adarsh Kumar +2

Recently, many studies have tried to create generation models to assist counter speakers by providing counterspeech suggestions for combating the explosive proliferation of online…

cs.SI2021

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

Punyajoy Saha, Binny Mathew, Kiran Garimella +1

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…

cs.DL2021

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…

cs.SI2020

Deep Learning Models for Multilingual Hate Speech Detection

Sai Saketh Aluru, Binny Mathew, Punyajoy Saha +1

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 h…

cs.SI2019

HateMonitors: Language Agnostic Abuse Detection in Social Media

Punyajoy Saha, Binny Mathew, Pawan Goyal +1

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 ot…

cs.SI2019

Hate begets Hate: A Temporal Study of Hate Speech

Binny Mathew, Anurag Illendula, Punyajoy Saha +3

With the ongoing debate on 'freedom of speech' vs. 'hate speech' there is an urgent need to carefully understand the consequences of the inevitable culmination of the two, i.e., 'f…