activity
20212025
most citedDISAPERE: A Dataset for Discourse Structure in Peer Review Discussions

15 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2025

Political Biases on X before the 2025 German Federal Election

Tabia Tanzin Prama, Chhandak Bagchi, Vishal Kalakonnavar +2

This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of German…

cs.SI2024★ 2 cited

Social media algorithms can curb misinformation, but do they?

Chhandak Bagchi, Filippo Menczer, Jennifer Lundquist +3

A recent article in by Guess et al. estimated the effect of Facebook's news feed algorithm on exposure to misinformation and political information among Facebook…

cs.SI2024

Analyzing and Estimating Support for U.S. Presidential Candidates in Twitter Polls

Stephen Scarano, Vijayalakshmi Vasudevan, Chhandak Bagchi +3

Polls posted on social media have emerged in recent years as an important tool for estimating public opinion, e.g., to gauge public support for business decisions and political can…

cs.DL2024★ 3 cited

Effects of Research Paper Promotion via ArXiv and X

Chhandak Bagchi, Eric Malmi, Przemyslaw Grabowicz

In the evolving landscape of scientific publishing, it is important to understand the drivers of high-impact research, to equip scientists with actionable strategies to enhance the…

cs.CL2021★ 15 cited

DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions

Neha Kennard, Tim O'Gorman, Rajarshi Das +6

At the foundation of scientific evaluation is the labor-intensive process of peer review. This critical task requires participants to consume vast amounts of highly technical text.…