activity
20242026
most citedAnalyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Representing Research Attention as Contextually Structured Flows

Jessica Rodrigues, Angelo Salatino, Gard Jenset +1

Research metrics use attention as evidence of societal impact. Yet attention serves as evidence only once interpreted, and its meaning depends on its contextual structure, not on v…

cs.CL2025

Framing Migration: A Computational Analysis of UK Parliamentary Discourse

Vahid Ghafouri, Robert McNeil, Teodor Yankov +4

We present a large-scale computational analysis of migration-related discourse in UK parliamentary debates spanning over 75 years and compare it with US congressional discourse. Us…

cs.SI2025

WhatsApp Tiplines and Multilingual Claims in the 2021 Indian Assembly Elections

Gautam Kishore Shahi, Scot A. Hale

WhatsApp tiplines, first launched in 2019 to combat misinformation, enable users to interact with fact-checkers to verify misleading content. This study analyzes 580 unique claims…

cs.CY2024★ 1 cited

Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai

Scott A. Hale, Adriano Belisario, Ahmed Mostafa +1

This study analyzes misinformation from WhatsApp, Twitter, and Kwai during the 2022 Brazilian general election. Given the democratic importance of accurate information during elect…

cs.CL2024★ 1 cited

Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports

Adriano Belisario, Scott A. Hale, Luc Rocher

Gun violence is a pressing human rights issue that affects nearly every dimension of the social fabric, from healthcare and education to psychology and the economy. Reliable data o…