Search Results for author: Eshwar Chandrasekharan

Found 4 papers, 3 papers with code

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations

1 code implementation16 Feb 2021 Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens

Online conversations can go in many directions: some turn out poorly due to antisocial behavior, while others turn out positively to the benefit of all.

A Just and Comprehensive Strategy for Using NLP to Address Online Abuse

no code implementations ACL 2019 David Jurgens, Eshwar Chandrasekharan, Libby Hemphill

Online abusive behavior affects millions and the NLP community has attempted to mitigate this problem by developing technologies to detect abuse.

Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit

1 code implementation7 Apr 2019 Eshwar Chandrasekharan, Eric Gilbert

In this dataset paper, we present a three-stage process to collect Reddit comments that are removed comments by moderators of several subreddits, for violating subreddit rules and guidelines.

Social and Information Networks

Still out there: Modeling and Identifying Russian Troll Accounts on Twitter

2 code implementations31 Jan 2019 Jane Im, Eshwar Chandrasekharan, Jackson Sargent, Paige Lighthammer, Taylor Denby, Ankit Bhargava, Libby Hemphill, David Jurgens, Eric Gilbert

In this work, we: 1) develop machine learning models that predict whether a Twitter account is a Russian troll within a set of 170K control accounts; and, 2) demonstrate that it is possible to use this model to find active accounts on Twitter still likely acting on behalf of the Russian state.

Social and Information Networks Computers and Society

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