Long-term Characterization of Political Communications on Social Media
Author:
Affiliation:
1. DCT, State University of Southwestern of Bahia, Brazil
2. State University of Southwestern of Bahia, Brazil
3. Federal University of Minas Gerais, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3486622.3493934
Reference32 articles.
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2. Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign
3. Characterizing Politically Engaged Users' Behavior During the 2016 US Presidential Campaign
4. Albert Franca Josua Costa , Regis Antonio Saraiva Albuquerque , and Eulanda Miranda Dos Santos . 2018 . A Drift Detection Method Based on Active Learning . Proceedings of the International Joint Conference on Neural Networks 2018-July(2018) . https://doi.org/10.1109/IJCNN.2018.8489364 Albert Franca Josua Costa, Regis Antonio Saraiva Albuquerque, and Eulanda Miranda Dos Santos. 2018. A Drift Detection Method Based on Active Learning. Proceedings of the International Joint Conference on Neural Networks 2018-July(2018). https://doi.org/10.1109/IJCNN.2018.8489364
5. Council on Foreign Relations. 2018. WhatsApp’s Influence in the Brazilian Election and How It Helped Jair Bolsonaro Win. https://www.cfr.org/blog/whatsapps-influence-brazilian-election-and-how-it-helped-jair-bolsonaro-win Council on Foreign Relations. 2018. WhatsApp’s Influence in the Brazilian Election and How It Helped Jair Bolsonaro Win. https://www.cfr.org/blog/whatsapps-influence-brazilian-election-and-how-it-helped-jair-bolsonaro-win
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1. Bubble reachers and uncivil discourse in polarized online public sphere;PLOS ONE;2024-06-20
2. Análise longitudinal do discurso dos políticos brasileiros;Revista Brasileira de Computação Aplicada;2023-11-27
3. How Politicians Communicate in Social Media: A Cross-Platform Study;Brazilian Symposium on Multimedia and Web;2022-11-07
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