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Polarization Monitor - Brazil 2022 Election
Polarization Monitor - Brazil 2022 Election
Project Goal
Project Goal
Politics in different countries show diverse degrees of polarization, which tends to be stronger on social media. This project aims to characterize and model this phenomenon, envisioning to propose possible solutions to this threat to societies.
A comparison of centrality metrics in the retweet network.
Awards
Awards
The work "Virtual Polarization: a study of the dynamics of politically polarized scenarios on social networking sites" was awarded as the best Professional Dissertation at the UTFPR Thesis and Dissertation Grand Prize, in which multidisciplinary works from all UTFPR campuses published between 2021 and 2022 competed.
Publications
Publications
Bubble reachers and uncivil discourse in polarized online public sphere
Jordan Kobellarz, Milos Brocic, Daniel Silver and Thiago H. Silva
PLOS ONE 2024
Caracterização de Grupos Políticos no Telegram Durante a Eleição Presidencial de 2022
Johnny Pinto and Thiago Silva
Simpósio Brasileiro de Sistemas Multimídia e Web 2023Reaching the bubble may not be enough: news media role in online political polarization
Jordan K Kobellarz, Milos Brocic , Alexandre Graeml, Daniel Silver and Thiago H Silva
EPJ Data Science 2022Should We Translate? Evaluating Toxicity in Online Comments when Translating from Portuguese to English
Jordan K Kobellarz and Thiago H Silva
WebMedia 2022(in PT-BR) Processamento de Linguagem Natural em Textos de Mídias Sociais: Fundamentos, Ferramentas e Aplicações
Frances A. Santos, Jordan K. Kobellarz, Fábio R. de Souza, Leandro A. Villas e Thiago H. Silva
Book Chapter - Short Courses WebMedia 2022Parrot Talk: Retweeting Among Twitter Users During the 2018 Brazilian Presidential Election
Jordan K. Kobellarz, Alexandre R. Graeml, Michelle Reddy and Thiago H. Silva
WebMedia 2019Polarização virtual: estudo da dinâmica de cenários politicamente polarizados em sites de redes sociais
Jordan K. Kobellarz, Alexandre R. Graeml, and Thiago H. Silva
Master's thesis, Universidade Tecnológica Federal do Paraná
Code
Code
Intergroup Bridging Algorithm - Implementation of the Intergroup Bridging centrality measure for NetworkX
Data
Data
Bubble reachers and uncivil discourse in polarized online public sphere comments dataset
Composed of comments in Portuguese and English gathered from various sources, such as news websites from Brazil and Canada, social media sites like Facebook and Reddit, e-commerce reviews, Wikipedia comments, among others. Each comment is accompanied by a "toxicity" score provided by the Perspective API. Disclaimer: This file includes words or language that is considered profane, vulgar or offensive by some readers. Due to the topic studied in this article, quoting offensive language is academically justified, but we nor PLOS in no way endorse the use of these words or the content of the quotes. Likewise, the quotes do not represent the opinions of us or that of PLOS, and we condemn online harassment and offensive language.
Cite: Kobellarz, J. K., Brocic, M., Silver, D., & Silva, T. (2023). Bubble reachers and uncivil discourse in polarized online public sphere comments dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10443022
Bubble Reachers Dataset
Composed of Twitter messages with links to articles from news media sources that were able to reach the polarized bubbles during the 2018 Brazilian presidential elections and 2019 Canadian federal elections.
Cite: KOBELLARZ, Jordan K. et al. Reaching the bubble may not be enough: news media role in online political polarization. EPJ Data Science, v. 11, n. 1, p. 47, 2022.
Should We Translate? Comments toxicity dataset
Composed of comments in Portuguese and English from Brazilian news media sources and baseline datasets with its respective toxicity scores obtained from Perspective API.
Datasets link (request access from authors)
Cite: KOBELLARZ, Jordan K.; SILVA, Thiago H. Should we Translate? Evaluating toxicity in online comments when translating from portuguese to english. In: Proceedings of the Brazilian Symposium on Multimedia and the Web. 2022. p. 89-98.
2022 Brazilian Presidential Election
Telegram political groups and political Tweets
Details and instructions are available in the datasets's github pages.
Team
Team
Students
Jordan Kobellarz - Universidade Tecnológica Federal do Paraná, Brazil
Milos Brocic - University of Toronto, Canada
Johnny Pinto - Universidade Tecnológica Federal do Paraná, Brazil
Thiago Magrin - Universidade Tecnológica Federal do Paraná, Brazil
William Souza - Universidade Tecnológica Federal do Paraná, Brazil
Researchers
Alexandre Graeml - Universidade Tecnológica Federal do Paraná, Brazil
Daniel Silver - University of Toronto, Canada
Michelle Reddy - Stanford University, USA
Thiago H. Silva - Universidade Tecnológica Federal do Paraná, Brazil
Acknowledgements
Acknowledgements
Grant CNPq-URBCOMP (#403260/2016-7).
Grant Fapesp-GoodWeb (#2018/23011-1).
Grant Fapesp-SocialNet (#2023/00148-0).
Grants CNPq (314603/2023-9 and 441444/2023-7).
Research agencies: CAPES, CNPq, and FAPESP.
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