activity
20202026
most citedProactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization

3 citations · 17 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.SI2024★ 3 cited

Independent fact-checking organizations exhibit a departure from political neutrality

Sahajpreet Singh, Sarah Masud, Tanmoy Chakraborty

Independent fact-checking organizations have emerged as the crusaders to debunk fake news. However, they may not always remain neutral, as they can be selective in the false news t…

cs.SI2022★ 2 cited

Handling Bias in Toxic Speech Detection: A Survey

Tanmay Garg, Sarah Masud, Tharun Suresh +1

Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors such as the context, geography, socio-political climate, and background of the produ…

cs.SI2021★ 2 cited

DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks

Dhruv Sahnan, Vasu Goel, Sarah Masud +3

With an increasing outreach of digital platforms in our lives, researchers have taken a keen interest to study different facets of social interactions that seem to be evolving rapi…

cs.SI2020

Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter

Sarah Masud, Subhabrata Dutta, Sakshi Makkar +4

Online hate speech, particularly over microblogging platforms like Twitter, has emerged as arguably the most severe issue of the past decade. Several countries have reported a stee…

cs.SI2020

Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction

Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti +1

Modeling user engagement dynamics on social media has compelling applications in user-persona detection and political discourse mining. Most existing approaches depend heavily on k…