activity
20182021
most citedAnalyzing the hate and counter speech accounts on Twitter

59 citations · 176 across the 11 of their papers we have counts for

collaborators

15 papers

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.CL2020

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

Binny Mathew, Punyajoy Saha, Seid Muhie Yimam +3

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…

cs.SI2020★ 42 cited

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.CL2020

The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings

Binny Mathew, Sandipan Sikdar, Florian Lemmerich +1

We introduce POLAR - a framework that adds interpretability to pre-trained word embeddings via the adoption of semantic differentials. Semantic differentials are a psychometric con…

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…