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most citedDeep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey

65 citations · 582 across the 89 of their papers we have counts for

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Showing 2018 · cs.SIShow all

6 papers · 2 filters

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★ 59 cited

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★ 4 cited

Characterizing the spread of exaggerated news content over social media

Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta +3

In this paper, we consider a dataset comprising press releases about health research from different universities in the UK along with a corresponding set of news articles. First, w…

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★ 8 cited

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…