Federico Albanese

According to our database, Federico Albanese authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text.

Federico Albanese, Pablo Ronco, Nicolás D'Ippolito

CoRR, March, 2026

2024

Polarization dynamics: a study of individuals shifting between political communities on social media.

Federico Albanese, Esteban Feuerstein, Pablo Balenzuela

CoRR, 2024

Investigating the Relationship Between User Specialization and Toxicity on Reddit: A Sentiment Analysis Approach.

Abi Oppenheim, Federico Albanese, Esteban Feuerstein

CoRR, 2024

The Impact of Source-Target Node Distance on Vicious Adversarial Attacks in Social Network Recommendation Systems.

Federico Albanese, Giovanni Trappolini, Lorenzo Scarlino, Fabrizio Silvestri

Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

2023

Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models.

Federico Albanese, Daniel Ciolek, Nicolás D'Ippolito

CoRR, 2023

Characterizing Community Changing Users using Text Mining and Graph Machine Learning on Twitter.

Federico Albanese, Esteban Feuerstein, Leandro Lombardi, Pablo Balenzuela

Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023), 2023

2021

Improved Topic Modeling in Twitter Through Community Pooling.

Federico Albanese, Esteban Feuerstein

Proceedings of the String Processing and Information Retrieval, 2021

2020

Predicting Shifting Individuals Using Text Mining and Graph Machine Learning on Twitter.

Federico Albanese, Leandro Lombardi, Esteban Feuerstein, Pablo Balenzuela

CoRR, 2020

2019

A data-driven model for Mass Media influence in electoral context.

Federico Albanese, Claudio J. Tessone, Viktoriya Semeshenko, Pablo Balenzuela

CoRR, 2019

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