activity
20182025
most citedUncovering the Limits of Text-based Emotion Detection

31 citations · 35 across the 7 of their papers we have counts for

collaborators

7 papers

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…

stat.AP2025★ 1 cited

A Simple and Explainable Model for Park-and-Ride Car Park Occupancy Prediction

Andreas Kaltenbrunner, Josep Ferrer, David Moreno +1

In a scenario of growing usage of park-and-ride facilities, understanding and predicting car park occupancy is becoming increasingly important. This study presents a model that eff…

cs.CY2024★ 3 cited

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.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…

cs.SI2022

Crowding out the truth? A simple model of misinformation, polarization and meaningful social interactions

Fabrizio Germano, Vicenç Gómez, Francesco Sobbrio

This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking algorithms, namely popularity and personalization parameters, on measures of…

cs.CL2021★ 31 cited

Uncovering the Limits of Text-based Emotion Detection

Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez

Identifying emotions from text is crucial for a variety of real world tasks. We consider the two largest now-available corpora for emotion classification: GoEmotions, with 58k mess…

cs.SI2018

Adult content in Social Live Streaming Services: Characterizing deviant users and relationships

Nikolaos Lykousas, Vicenç Gómez, Constantinos Patsakis

Social Live Stream Services (SLSS) exploit a new level of social interaction. One of the main challenges in these services is how to detect and prevent deviant behaviors that viola…