What matters, context or sentiment?: Analysing the influence of news in U.S. elections using Natural Language Processing. - Federico Albanese; Sebastián Pinto; Viktoriya Semeshenko; Pablo Balenzuela (CoRR, 2019)

A data-driven model for Mass Media influence in electoral context. - Federico Albanese; Claudio J. Tessone; Viktoriya Semeshenko; Pablo Balenzuela (CoRR, 2019)

Predicting Shifting Individuals Using Text Mining and Graph Machine Learning on Twitter. - Federico Albanese; Leandro Lombardi; Esteban Feuerstein; Pablo Balenzuela (CoRR, 2020)

Improved Topic Modeling in Twitter Through Community Pooling. - Federico Albanese; Esteban Feuerstein (SPIRE, 2021)

Characterizing Community Changing Users using Text Mining and Graph Machine Learning on Twitter. - Federico Albanese; Esteban Feuerstein; Leandro Lombardi; Pablo Balenzuela (AMW, 2023)

Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models. - Federico Albanese; Daniel Ciolek; Nicolás D'Ippolito (CoRR, 2023)

The Impact of Source-Target Node Distance on Vicious Adversarial Attacks in Social Network Recommendation Systems. - Federico Albanese; Giovanni Trappolini; Lorenzo Scarlino; Fabrizio Silvestri (IRonGraphs, 2024)

Investigating the Relationship Between User Specialization and Toxicity on Reddit: A Sentiment Analysis Approach. - Abi Oppenheim; Federico Albanese; Esteban Feuerstein (CoRR, 2024)

Polarization dynamics: a study of individuals shifting between political communities on social media. - Federico Albanese; Esteban Feuerstein; Pablo Balenzuela (CoRR, 2024)