Lucas Raniére

About Lucas

Ph.D. candidate in Computer Science at the Federal University of Campina Grande (UFCG). Member of the Applied Intelligent Computing Laboratory (LaCInA) and the Distributed Systems Laboratory (LSD) at UFCG. Currently, my work focuses on leveraging Large Language Models to identify and mitigate political polarization online, as well as exploring the use of AI agents for automated fact-checking.

Education

• 2021 - Current
• PhD in Computer Science
  Federal University of Campina Grande, Campina Grande - PB, Brazil
• Research topics: Political radicalization and polarization; Social Media Networks; Large Language Models
• December 2023 - August 2024
• Visiting Scholar at Indiana University
  Indiana University, Bloomington - IN, USA
  Luddy School of Informatics, Computing, and Engineering
  Observatory on Social Media (OSoMe)
• 2018 - 2020
• Master's Degree in Computer Science
  Federal University of Campina Grande, Campina Grande - PB, Brazil
• Research topics: Experimental Software Engineering; Software artifacts traceability
• Dissertation title: Improving Traceability Recovery Between Bugs Reports and Manual Test Cases
• 2012 - 2017
• Bachelor's Degree in Computer Science
  Federal University of Alagoas, Arapiraca - AL, Brazil
• Research topics: Digital inclusion and accessibility; Machine text translation; Brazilian Sign Language (LIBRAS)
• Term Paper Title: Use of Probabilistic Reasoning to Resolve Lexical Ambiguities in Portuguese

Publications

• 2025
• Can Large Language Models Effectively Mitigate Polarization in Social Media Text? Santos, L. R. J., Balby Marinho, L., Calazans Campelo, C. E., Menczer, Filippo & Flammini, Alessandro (2025, August). In Proceedings of the 17th ACM Web Science Conference. https://doi.org/10.1145/3717867.3717904
• 2022
• Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil. Santos, L. R. J., Balby Marinho, L., & Calazans Campelo, C. E. (2022, November). In Proceedings of the XXVIII Brazilian Symposium on Multimedia and the Web. https://doi.org/10.1145/3539637.3556992
• 2020
• Improving Traceability Recovery Between Bug Reports and Manual Test Cases. Santos, L. R. J., Gadelha, G., Ramalho, F., & Massoni, T. (2020, October). In Proceedings of the XXXIV Brazilian Symposium on Software Engineering. https://doi.org/10.1145/3422392.3422424

Datasets

• 2025
• [Tweets] 2022 Brazilian Presidential Elections: Containing 7,015,186 tweets from 951,602 users, collected over 36 days. https://doi.org/10.5281/zenodo.14834749
• [Tweets] 2023 Brazilian Early Political Events: Containing 13,910,048 tweets from 1,346,340 users, collected over 56 days. https://doi.org/10.5281/zenodo.14834704
• 2022
• [Dataset] Tweets about COVID-19 Brazilian CPI: Containing 3,397,933 tweets related to COVID-19 Parliamentary Commission of Inquiry. https://doi.org/10.5281/zenodo.8410348

Technical Skills & Expertise

Contact

• Phone numbers
• +55 (82) 99683-4878 (WhatsApp, Telegram, Text)

• E-mails
• Institutional UFCG: lucasraniere@copin.ufcg.edu.br
• Personal: lucas.raniere94@gmail.com

Let's Connect

I'm always interested in discussing research opportunities, collaborations, and new projects in the fields of complex networks, AI, and social media analysis. Feel free to reach out if you'd like to connect or learn more about my work.