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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.SI2018★ 37 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…

cs.SI2018

Analyzing the hate and counter speech accounts on Twitter

Binny Mathew, Navish Kumar, Ravina +2

The online hate speech is proliferating with several organization and countries implementing laws to ban such harmful speech. While these restrictions might reduce the amount of su…

cs.SI2018

Spread of hate speech in online social media

Binny Mathew, Ritam Dutt, Pawan Goyal +1

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 horr…

cs.SI2018

Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions

Binny Mathew, Ritam Dutt, Suman Kalyan Maity +2

Anonymity forms an integral and important part of our digital life. It enables us to express our true selves without the fear of judgment. In this paper, we investigate the differe…

cs.SI2018

Thou shalt not hate: Countering Online Hate Speech

Binny Mathew, Punyajoy Saha, Hardik Tharad +5

Hate content in social media is ever-increasing. While Facebook, Twitter, Google have attempted to take several steps to tackle the hateful content, they have mostly been unsuccess…

cs.SI2018

Mining Twitter Conversations around E-commerce Promotional Events

Binny Mathew, Unnikrishnan T A, Tanmoy Chakraborty +2

With Social Media platforms establishing themselves as the de facto destinations for their customers views and opinions, brands around the World are investing heavily on invigorati…