Religious Fundamentalism and Far-Right Ideology in Brazilian WhatsApp and Telegram Groups: A Multidimensional Computational Analysis
Resumo
This paper examines the relationship between religious fundamentalism and far-right political ideology in Brazilian public groups on WhatsApp and Telegram through a multidimensional computational analysis. To this end, we constructed two datasets comprising religious messages circulated in farright public groups on both platforms. We then applied Named Entity Recognition to identify the most frequent entities, which were subsequently used to retrieve messages for manual discourse analysis. Each message was then assigned a sentiment polarity label.We also applied three topic modeling algorithms (LDA, PTM, and BERTopic) to identify latent thematic structures and used LIWC to examine emotional, cognitive, and linguistic dimensions. The results reveal significant psycholinguistic differences between the two platforms, despite the emergence of similar thematic patterns across the three topic modeling approaches. Overall, this study provides empirical evidence of how religious fundamentalist discourse circulates and becomes politically articulated within Brazilian far-right groups on WhatsApp and Telegram.
Palavras-chave:
religious fundamentalism, far-right, whatsapp, telegram
Referências
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Gabriel A. Almond, R. Scott Appleby, and Emmanuel Sivan. 2003. Strong Religion: The Rise of Fundamentalisms around the World. University of Chicago Press, Chicago.
Victor Araújo. 2025. Does the growth of religious minorities transform electoral politics? Evidence from the evangelical boom in Brazil. Political Science Research and Methods (2025), 1–25. DOI: 10.1017/psrm.2025.10025
Karen Armstrong. 2000. The Battle for God: Fundamentalism in Judaism, Christianity and Islam. Knopf.
Andrew Atherstone and David Ceri Jones. 2023. The Oxford Handbook of Christian Fundamentalism. Oxford University Press. DOI: 10.1093/oxfordhb/9780198844594.001.0001
Pedro Balage Filho, Thiago Alexandre Salgueiro Pardo, and Sandra Aluísio. 2013. An evaluation of the Brazilian Portuguese LIWC dictionary for sentiment analysis. In Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology.
Federico Bianchi, Silvia Terragni, and Dirk Hovy. 2021. Pretraining is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 759–766.
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3, null (mar 2003), 993–1022.
Carlos Arcila Calderón, Gonzalo de la Vega, and David Blanco Herrero. 2020. Topic Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain. Social Sciences 9, 11 (2020). DOI: 10.3390/socsci9110188
Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, and Jörg Sander. 2015. Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Transactions on Knowledge Discovery from Data 10, 1, Article 5 (2015), 51 pages. DOI: 10.1145/2733381
Brenda Carranza and Maria José F. Rosado-Nunes. 2024. Democracy and the Christian Right in Brazil: Family, Sexualities and Religious Freedom. Religions (2024). [link]
Flavio Carvalho, Rafael Rodrigues, Gabriel Santos, Pedro Cruz, Lilian Ferrari, and Gustavo Guedes. 2019. Avaliação da versão em português do LIWC Lexicon 2015 com análise de sentimentos em redes sociais. In Anais do VIII Brazilian Workshop on Social Network Analysis and Mining (Belém). SBC, Porto Alegre, RS, Brasil, 24–34. DOI: 10.5753/brasnam.2019.6545
Guilherme Casarões and Amy Erica Smith. 2023. “Brazil above Everything or God above Everyone?”: The Sources of Brazil’s Religious Soft Power. In The Geopolitics of Religious Soft Power: How States Use Religion in Foreign Policy. Oxford University Press. arXiv: [link] DOI: 10.1093/oso/9780197605806.003.0014
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Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020. Unsupervised Cross-lingual Representation Learning at Scale. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) (2020).
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Ivandro Claudino de Sá, Thiago Gadelha, Tiago Vinuto, José Wellington Franco da Silva, José Maria Monteiro, and Javam C. Machado. 2023. A Real-Time Platform to Monitoring Misinformation on Telegram. In Proceedings of the ICEIS 2023. 271–278.
Ivandro Claudino de Sá, Luciano Galic, Wellington Franco, Thiago Gadelha, José Maria Monteiro, and Javam C Machado. 2023. BATMAN: A Big Data Platform for Misinformation Monitoring.. In Proceedings of the ICEIS 2023. 237–246.
Adji B. Dieng, Francisco J. R. Ruiz, and David M. Blei. 2020. Topic Modeling in Embedding Spaces. Transactions of the Association for Computational Linguistics 8 (2020), 439–453.
Explosion AI. 2026. pt_core_news_sm: Portuguese pipeline optimized for CPU. [link]. Accessed: Janeiro 2026.
Paula Gibrim, Marcus Ribeiro, Lorena Moreira, Philipe Melo, and Julio Reis. 2025. I’m not Welcome Here – Uma Revisão de Escopo sobre Toxicidade e Discurso de Ódio em Jogos Digitais. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 646–660. DOI: 10.5753/webmedia.2025.15998
Jarod Govers, Philip Feldman, Aaron Dant, and Panos Patros. 2023. Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech. ACM Comput. Surv. 55, 14s, Article 319 (jul 2023), 35 pages. DOI: 10.1145/3583067
Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022).
Samuel Guimarães, Gabriel Kakizaki, Philipe Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, and Fabrício Benevenuto. 2023. Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification. In Proceedings of the 34th ACM Conference on Hypertext and Social Media (Rome, Italy) (HT ’23). Association for Computing Machinery, New York, NY, USA, Article 33, 11 pages. DOI: 10.1145/3603163.3609158
Sami Abdullah Hamdi. 2022. Mining ideological discourse on Twitter: The case of extremism in Arabic. Discourse & Communication 16, 1 (2022), 76–92. DOI: 10.1177/17504813211043706
Elina Inkeri Hartikainen. 2025. Religious Intolerance and the Semiotics of Secular Indeterminacy in Brazil. Signs and Society 13, 1 (2025), 78–101. DOI: 10.1017/sas.2024.4
C. J. Hutto and Eric Gilbert. 2014. VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. In Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (ICWSM-14). 216–225.
Mi Kim and Dosung Kim. 2022. A Suggestion on the LDA-Based Topic Modeling Technique Based on ElasticSearch for Indexing Academic Research Results. Applied Sciences 12, 6 (2022). DOI: 10.3390/app12063118
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth. 2019. Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 151 (nov 2019), 22 pages. DOI: 10.1145/3359253
Jey Han Lau, David Newman, and Timothy Baldwin. 2014. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. 530–539.
João Lobo, Daniel Barbosa, and Philipe Melo. 2025. Investigando a Dinâmica da Propagação do Ódio em Cascatas de Toxicidade nos Chats Ao Vivo da Twitch. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 321–329. DOI: 10.5753/webmedia.2025.15110
Victor Martins, Sophia Serafim, Lívia Pereira, Amanda Alves, Carlos Ferreira, and Jussara Almeida. 2025. A Misoginia no YouTube Brasileiro: Um Estudo de Caso sobre o Conteúdo Produzido pela Comunidade Red Pill. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 28–37. DOI: 10.5753/webmedia.2025.16070
Leland McInnes, John Healy, Nathaniel Saul, and Lukas Großberger. 2018. UMAP: Uniform Manifold Approximation and Projection. Journal of Open Source Software 3, 29 (2018), 861. DOI: 10.21105/joss.00861
Cas Mudde. 2019. The Far Right Today. Polity Press, Cambridge, UK.
Fernanda Nascimento, Melissa Sousa, Gustavo Martins, José Maria Monteiro, and Javam C. Machado. 2025. Detecting Misinformation Virality on WhatsApp. In Proceedings of the 14th International Conference on Data Science, Technology and Applications, DATA 2025, Bilbao, Spain, June 10-12, 2025, Elhadj Benkhelifa, Xin-She Yang, and Slimane Hammoudi (Eds.). SCITEPRESS, 685–692. DOI: 10.5220/0013646800003967
Giovana Piorino, Luiz Lima, Adriana Pagano, and Ana Silva. 2025. Toxicidade e Gatilhos: Um Estudo de Caso em Comunidades do Reddit no Brasil. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 575–579. DOI: 10.5753/webmedia.2025.15984
Andrea L. P. Pirro. 2022. Far right: The significance of an umbrella concept. Nations and Nationalism 29, 1 (2022), 101–112. DOI: 10.1111/nana.12860
Michael Röder, Andreas Both, and Alexander Hinneburg. 2015. Exploring the Space of Topic Coherence Measures. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015, Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, and Jie Tang (Eds.). ACM, 399–408. DOI: 10.1145/2684822.2685324
Renato Russo, Ioana Literat, and Paulo Blikstein. 2023. Weaponizing John 8:32: The Complex Interconnections Between Religion and Politics on Brazilian Twitter. Social Media + Society 9, 4 (2023), 20563051231220328. DOI: 10.1177/20563051231220328
Yash Saini, Vishal Bachchas, Yogesh Kumar, and Sanjay Kumar. 2020. Abusive Text Examination Using Latent Dirichlet Allocation, Self Organizing Maps and K Means Clustering. In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS). 1233–1238. DOI: 10.1109/ICICCS48265.2020.9121090
Silvia Terragni, Debasis Ganguly, and Fabio Crestani. 2020. OCTIS: Comparing and optimizing topic models is simple!. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20). ACM, 2201–2204. DOI: 10.1145/3397271.3401215
Javier Torregrosa, Gema Bello-Orgaz, Eugenio Martínez-Cámara, Javier Del Ser, and David Camacho. 2022. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges: definitions, literature review, trends and challenges. Journal of Ambient Intelligence and Humanized Computing unknown, 8 (12 Dec. 2022), 9869–9905. DOI: 10.1007/s12652-021-03658-z, Publisher Copyright: © 2022, The Author(s)..
Francielle Vargas, Isabelle Carvalho, Wolfgang Schmeisser-Nieto, Fabrício Benevenuto, and Thiago Pardo. 2023. NoHateBrazil: A Brazilian Portuguese Text Offensiveness Analysis System. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing. INCOMA Ltd., Shoumen, Bulgaria, Varna, Bulgaria, 1180–1186. [link]
Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, and Hui Xiong. 2016. Topic Modeling of Short Texts: A Pseudo-Document View. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA) (KDD ’16). Association for Computing Machinery, New York, NY, USA, 2105–2114. DOI: 10.1145/2939672.2939880
Rafael J. A. Almeida. 2018. LeIA — Léxico para Inferência Adaptada. [link].
Gabriel A. Almond, R. Scott Appleby, and Emmanuel Sivan. 2003. Strong Religion: The Rise of Fundamentalisms around the World. University of Chicago Press, Chicago.
Victor Araújo. 2025. Does the growth of religious minorities transform electoral politics? Evidence from the evangelical boom in Brazil. Political Science Research and Methods (2025), 1–25. DOI: 10.1017/psrm.2025.10025
Karen Armstrong. 2000. The Battle for God: Fundamentalism in Judaism, Christianity and Islam. Knopf.
Andrew Atherstone and David Ceri Jones. 2023. The Oxford Handbook of Christian Fundamentalism. Oxford University Press. DOI: 10.1093/oxfordhb/9780198844594.001.0001
Pedro Balage Filho, Thiago Alexandre Salgueiro Pardo, and Sandra Aluísio. 2013. An evaluation of the Brazilian Portuguese LIWC dictionary for sentiment analysis. In Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology.
Federico Bianchi, Silvia Terragni, and Dirk Hovy. 2021. Pretraining is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 759–766.
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. Journal of Machine Learning Research 3, null (mar 2003), 993–1022.
Carlos Arcila Calderón, Gonzalo de la Vega, and David Blanco Herrero. 2020. Topic Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain. Social Sciences 9, 11 (2020). DOI: 10.3390/socsci9110188
Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, and Jörg Sander. 2015. Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Transactions on Knowledge Discovery from Data 10, 1, Article 5 (2015), 51 pages. DOI: 10.1145/2733381
Brenda Carranza and Maria José F. Rosado-Nunes. 2024. Democracy and the Christian Right in Brazil: Family, Sexualities and Religious Freedom. Religions (2024). [link]
Flavio Carvalho, Rafael Rodrigues, Gabriel Santos, Pedro Cruz, Lilian Ferrari, and Gustavo Guedes. 2019. Avaliação da versão em português do LIWC Lexicon 2015 com análise de sentimentos em redes sociais. In Anais do VIII Brazilian Workshop on Social Network Analysis and Mining (Belém). SBC, Porto Alegre, RS, Brasil, 24–34. DOI: 10.5753/brasnam.2019.6545
Guilherme Casarões and Amy Erica Smith. 2023. “Brazil above Everything or God above Everyone?”: The Sources of Brazil’s Religious Soft Power. In The Geopolitics of Religious Soft Power: How States Use Religion in Foreign Policy. Oxford University Press. arXiv: [link] DOI: 10.1093/oso/9780197605806.003.0014
Athus Cavalini, Thamya Donadia, and Giovanni Comarela. 2024. Characterizing the Toxicity of the Brazilian Extremist Communities on Telegram. In Proceedings of the 30th Brazilian Symposium on Multimedia and the Web (Juiz de Fora/MG). SBC, Porto Alegre, RS, Brasil, 370–374. DOI: 10.5753/webmedia.2024.243207
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020. Unsupervised Cross-lingual Representation Learning at Scale. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) (2020).
Benjamin A. Cowan. 2021. Moral Majorities Across the Americas: Brazil, the United States, and the Creation of the Religious Right. University of North Carolina Press, Chapel Hill, NC. 304 pages.
Ivandro Claudino de Sá, Thiago Gadelha, Tiago Vinuto, José Wellington Franco da Silva, José Maria Monteiro, and Javam C. Machado. 2023. A Real-Time Platform to Monitoring Misinformation on Telegram. In Proceedings of the ICEIS 2023. 271–278.
Ivandro Claudino de Sá, Luciano Galic, Wellington Franco, Thiago Gadelha, José Maria Monteiro, and Javam C Machado. 2023. BATMAN: A Big Data Platform for Misinformation Monitoring.. In Proceedings of the ICEIS 2023. 237–246.
Adji B. Dieng, Francisco J. R. Ruiz, and David M. Blei. 2020. Topic Modeling in Embedding Spaces. Transactions of the Association for Computational Linguistics 8 (2020), 439–453.
Explosion AI. 2026. pt_core_news_sm: Portuguese pipeline optimized for CPU. [link]. Accessed: Janeiro 2026.
Paula Gibrim, Marcus Ribeiro, Lorena Moreira, Philipe Melo, and Julio Reis. 2025. I’m not Welcome Here – Uma Revisão de Escopo sobre Toxicidade e Discurso de Ódio em Jogos Digitais. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 646–660. DOI: 10.5753/webmedia.2025.15998
Jarod Govers, Philip Feldman, Aaron Dant, and Panos Patros. 2023. Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech. ACM Comput. Surv. 55, 14s, Article 319 (jul 2023), 35 pages. DOI: 10.1145/3583067
Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022).
Samuel Guimarães, Gabriel Kakizaki, Philipe Melo, Márcio Silva, Fabricio Murai, Julio C. S. Reis, and Fabrício Benevenuto. 2023. Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification. In Proceedings of the 34th ACM Conference on Hypertext and Social Media (Rome, Italy) (HT ’23). Association for Computing Machinery, New York, NY, USA, Article 33, 11 pages. DOI: 10.1145/3603163.3609158
Sami Abdullah Hamdi. 2022. Mining ideological discourse on Twitter: The case of extremism in Arabic. Discourse & Communication 16, 1 (2022), 76–92. DOI: 10.1177/17504813211043706
Elina Inkeri Hartikainen. 2025. Religious Intolerance and the Semiotics of Secular Indeterminacy in Brazil. Signs and Society 13, 1 (2025), 78–101. DOI: 10.1017/sas.2024.4
C. J. Hutto and Eric Gilbert. 2014. VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. In Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (ICWSM-14). 216–225.
Mi Kim and Dosung Kim. 2022. A Suggestion on the LDA-Based Topic Modeling Technique Based on ElasticSearch for Indexing Academic Research Results. Applied Sciences 12, 6 (2022). DOI: 10.3390/app12063118
Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth. 2019. Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 151 (nov 2019), 22 pages. DOI: 10.1145/3359253
Jey Han Lau, David Newman, and Timothy Baldwin. 2014. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. 530–539.
João Lobo, Daniel Barbosa, and Philipe Melo. 2025. Investigando a Dinâmica da Propagação do Ódio em Cascatas de Toxicidade nos Chats Ao Vivo da Twitch. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 321–329. DOI: 10.5753/webmedia.2025.15110
Victor Martins, Sophia Serafim, Lívia Pereira, Amanda Alves, Carlos Ferreira, and Jussara Almeida. 2025. A Misoginia no YouTube Brasileiro: Um Estudo de Caso sobre o Conteúdo Produzido pela Comunidade Red Pill. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 28–37. DOI: 10.5753/webmedia.2025.16070
Leland McInnes, John Healy, Nathaniel Saul, and Lukas Großberger. 2018. UMAP: Uniform Manifold Approximation and Projection. Journal of Open Source Software 3, 29 (2018), 861. DOI: 10.21105/joss.00861
Cas Mudde. 2019. The Far Right Today. Polity Press, Cambridge, UK.
Fernanda Nascimento, Melissa Sousa, Gustavo Martins, José Maria Monteiro, and Javam C. Machado. 2025. Detecting Misinformation Virality on WhatsApp. In Proceedings of the 14th International Conference on Data Science, Technology and Applications, DATA 2025, Bilbao, Spain, June 10-12, 2025, Elhadj Benkhelifa, Xin-She Yang, and Slimane Hammoudi (Eds.). SCITEPRESS, 685–692. DOI: 10.5220/0013646800003967
Giovana Piorino, Luiz Lima, Adriana Pagano, and Ana Silva. 2025. Toxicidade e Gatilhos: Um Estudo de Caso em Comunidades do Reddit no Brasil. In Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (Rio de Janeiro/RJ). SBC, Porto Alegre, RS, Brasil, 575–579. DOI: 10.5753/webmedia.2025.15984
Andrea L. P. Pirro. 2022. Far right: The significance of an umbrella concept. Nations and Nationalism 29, 1 (2022), 101–112. DOI: 10.1111/nana.12860
Michael Röder, Andreas Both, and Alexander Hinneburg. 2015. Exploring the Space of Topic Coherence Measures. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015, Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, and Jie Tang (Eds.). ACM, 399–408. DOI: 10.1145/2684822.2685324
Renato Russo, Ioana Literat, and Paulo Blikstein. 2023. Weaponizing John 8:32: The Complex Interconnections Between Religion and Politics on Brazilian Twitter. Social Media + Society 9, 4 (2023), 20563051231220328. DOI: 10.1177/20563051231220328
Yash Saini, Vishal Bachchas, Yogesh Kumar, and Sanjay Kumar. 2020. Abusive Text Examination Using Latent Dirichlet Allocation, Self Organizing Maps and K Means Clustering. In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS). 1233–1238. DOI: 10.1109/ICICCS48265.2020.9121090
Silvia Terragni, Debasis Ganguly, and Fabio Crestani. 2020. OCTIS: Comparing and optimizing topic models is simple!. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20). ACM, 2201–2204. DOI: 10.1145/3397271.3401215
Javier Torregrosa, Gema Bello-Orgaz, Eugenio Martínez-Cámara, Javier Del Ser, and David Camacho. 2022. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges: definitions, literature review, trends and challenges. Journal of Ambient Intelligence and Humanized Computing unknown, 8 (12 Dec. 2022), 9869–9905. DOI: 10.1007/s12652-021-03658-z, Publisher Copyright: © 2022, The Author(s)..
Francielle Vargas, Isabelle Carvalho, Wolfgang Schmeisser-Nieto, Fabrício Benevenuto, and Thiago Pardo. 2023. NoHateBrazil: A Brazilian Portuguese Text Offensiveness Analysis System. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing. INCOMA Ltd., Shoumen, Bulgaria, Varna, Bulgaria, 1180–1186. [link]
Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, and Hui Xiong. 2016. Topic Modeling of Short Texts: A Pseudo-Document View. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA) (KDD ’16). Association for Computing Machinery, New York, NY, USA, 2105–2114. DOI: 10.1145/2939672.2939880
Publicado
27/10/2026
Como Citar
NASCIMENTO, Fernanda; FELIPE, Melissa Sousa; TORRES, Letícia; CLAUDINO, Ivandro; MONTEIRO, Jose Maria; MACHADO, Javam.
Religious Fundamentalism and Far-Right Ideology in Brazilian WhatsApp and Telegram Groups: A Multidimensional Computational Analysis. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 32. , 2026, Lavras/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 442-451.
DOI: https://doi.org/10.5753/webmedia.2026.30333.
