activity
20232025
most citedSampled Datasets Risk Substantial Bias in the Identification of Political Polarization on Social Media

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

collaborators

5 papers

physics.soc-ph20251 cited

Signed Networks: theory, methods, and applications

Fernando Diaz-Diaz, Elena Candellone, Miguel A. Gonzalez-Casado +4

Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic,…

cs.SI2025

A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags

Emma Fraxanet, Vicenç Gómez, Andreas Kaltenbrunner +1

We present a large-scale, longitudinal dataset capturing user activity on the online platform of DerStandard, a major Austrian newspaper. The dataset spans ten years (2013-2022) an…

cs.CY2024

Analyzing News Engagement on Facebook: Tracking Ideological Segregation and News Quality in the Facebook URL Dataset

Emma Fraxanet, Andreas Kaltenbrunner, Fabrizio Germano +1

The Facebook Privacy-Protected Full URLs Dataset was released to enable independent, academic research on the impact of Facebook's platform on society while ensuring user privacy.…

cs.SI20241 cited

Sampled Datasets Risk Substantial Bias in the Identification of Political Polarization on Social Media

Gabriele Di Bona, Emma Fraxanet, Björn Komander +5

Following recent policy changes by X (Twitter) and other social media platforms, user interaction data has become increasingly difficult to access. These restrictions are impeding…

cs.SI2023

Unpacking polarization: Antagonism and Alignment in Signed Networks of Online Interaction

Emma Fraxanet, Max Pellert, Simon Schweighofer +2

Political conflict is an essential element of democratic systems, but can also threaten their existence if it becomes too intense. This happens particularly when most political iss…