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20182021
most citedHateminers : Detecting Hate speech against Women

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

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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.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

Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs

Binny Mathew, Suman Kalyan Maity, Pawan Goyal +1

Quora is a popular Q&A site which provides users with the ability to tag questions with multiple relevant topics which helps to attract quality answers. These topics are not predef…

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…

cs.SI201837 cited

Hateminers : Detecting Hate speech against Women

Punyajoy Saha, Binny Mathew, Pawan Goyal +1

With the online proliferation of hate speech, there is an urgent need for systems that can detect such harmful content. In this paper, We present the machine learning models develo…