A Misoginia no YouTube Brasileiro: Um Estudo de Caso sobre o Conteúdo Produzido pela Comunidade Red Pill
Resumo
YouTube, as one of the most influential video platforms in Brazil, has become a central space for the circulation of ideas and, consequently, a fertile ground for the spread of hate speech, particularly misogyny, within the Manosphere ecosystem. The growing visibility and influence of content creators highlight the urgency of understanding how their messages are constructed and received. While previous studies have examined online misogyny in other platforms and contexts, little is known about its large-scale manifestations in the Brazilian YouTube ecosystem, especially regarding the practices of particular communities. This study addresses this gap by examining the presence and activity of the Red Pill community on YouTube Brazil, aiming to characterize how misogynistic discourse is constructed, interpreted, and propagated. We analyzed 18,034 videos and over 2.2 million comments from 28 channels published between January 2024 and June 2025, applying state-of-the-art natural language processing techniques to investigate engagement patterns and discursive dynamics. Our findings reveal that this community reaches a wide audience through diverse content strategies shaped by creators themselves. While titles and descriptions predominantly convey neutral sentiment, possibly to maximize reach and avoid automated moderation, user comments display a pronounced prevalence of negative sentiment and elevated toxicity. These results underscore the role of content creators in exploring YouTube to amplify extremist narratives and contribute to the understanding of online misogyny in Brazil by shedding light on its mechanisms of construction, reception, and dissemination.
Palavras-chave:
Red Pill, YouTube, Hate Speech, NLP, Misogyny
Referências
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Muriel de Groot, Mohammad Aliannejadi, and Marcel R. Haas. 2022. Experiments on Generalizability of BERTopic on Multi-Domain Short Text. ArXiv abs/2212.08459 (2022).
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Bruna C. S. Lima e Silva. 2023. Masculinismo: misoginia e redes de ódio no contexto da radicalização política do Brasil. Tese de Doutorado. Pontifícia Universidade Católica de Minas Gerais.
Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, and Elizabeth Belding. 2018. Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).
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Pedro P. Balage Filho, Thiago Alexandre Salgueiro Pardo, and Sandra M. 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.
Tommaso Fornaciari, Omar G. Morales, Auxiliadora Alcántara, Simona Frenda, and Massimo Piccardi. 2020. Linguistic and content features to identify fake news on YouTube. In Proceedings of the 7th Italian Conference on Computational Linguistics (CLiC-it 2020), Vol. 2699.
Martha E Francis and James W Pennebaker. 1992. Putting stress into words: The impact of writing on physiological, absentee, and self-reported emotional well-being measures. American Journal of Health Promotion 6, 4 (1992), 280–287.
Debbie Ging. 2019. Alphas, Betas, and Incels: Theorizing the Masculinities of the Manosphere. Men and Masculinities 22 (2019), 638–657.
Amaro Grassi and Marco A. Ruediger. 2023. Movimento Red Pill no Youtube: eixos argumentativos e recomendações algorítmicas. Technical Report. FGV ECMI (Escola de Comunicação, Mídia e Informação).
Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022).
Hussam Habib, Padmini Srinivasan, and Rishab Nithyanand. 2022. Making a Radical Misogynist: How Online Social Engagement with the Manosphere Influences Traits of Radicalization. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 450 (2022), 28 pages.
Laura Hanu and Unitary team. 2020. Detoxify. Github. [link].
Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, and Savvas Zannettou. 2021. The Evolution of the Manosphere Across the Web. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 196–207.
Larissa Malagoli, Giovana Piorino, Carlos HG Ferreira, and Ana Paula Couto da Silva. 2024. Twitter and the 2022 brazilian elections portrait: A network and content-driven analysis. In Brazilian Symposium on Multimedia and the Web (WebMedia). SBC, 283–291.
Manor High School. 2025. Guide to Emojis. Disponível em: [link]. Acesso em: 13 de julho de 2025.
Alice E. Marwick and Robyn Caplan. 2018. Drinking male tears: language, the manosphere, and networked harassment. Feminist Media Studies 18 (2018), 543–559.
Binny Mathew, Ritam Dutt, Pawan Goyal, and Animesh Mukherjee. 2019. Spread of Hate Speech in Online Social Media. In Proceedings of the 10th ACM Conference on Web Science (Boston, Massachusetts, USA). Association for Computing Machinery, New York, NY, USA, 173–182.
Daniel T. Miller. 2021. Characterizing QAnon: Analysis of YouTube comments presents new conclusions about a popular conservative conspiracy. First Monday 26 (2021).
Leann Myers and Maria J Sirois. 2004. Spearman correlation coefficients, differences between. Encyclopedia of statistical sciences 12 (2004).
Alexandra Olteanu, Carlos Castillo, Jeremy Boy, and Kush Varshney. 2018. The Effect of Extremist Violence on Hateful Speech Online. Proceedings of the International AAAI Conference on Web and Social Media 12 (2018).
ONU Mulheres. 2025. O que é a “machosfera” e por que devemos nos preocupar? [link]. Acesso em: 20 de julho de 2025.
John C. Paolillo. 2018. The Flat Earth phenomenon on YouTube. First Monday 23 (2018).
Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Michael Sirivianos. 2021. ’How over is it?’ Understanding the Incel Community on YouTube. Proc. ACM Hum. Comput. Interact. 5, CSCW2, Article 412 (2021).
Samuel Pinto, José Campolina, João Sena, Gabriel Félix, Lucas Ferreira, and Julio Reis. 2024. Caracterização e Predição de Usuários Tóxicos no Twitter/X durante as Eleições Brasileiras de 2022. In Proc. XIII Brazilian Workshop on Social Network Analysis and Mining.
Giovana Piorino, Vitor Moreira, Luiz Lima, Adriana Pagano, and Ana Silva. 2024. Análise de sentimentos de conteúdo compartilhado em comunidades brasileiras do Reddit: Avaliação de um conjunto de dados rotulados por humanos. In Proceedings of the 30th Brazilian Symposium on Multimedia and the Web. SBC, 54–62.
Kunal Relia, Zhengyi Li, S. H. Cook, and Rumi Chunara. 2019. Race, Ethnicity and National Origin-Based Discrimination in Social Media and Hate Crimes across 100 U.S. Cities. Proceedings of the International AAAI Conference on Web and Social Media 13 (2019), 417–427.
Cláudia da Cunha Ribas and Paula Ziviani. 2008. Mediação, circulação e uso da informação no contexto das redes sociais. ETD - Educação Temática Digital 9 (2008), 1–19.
Manoel Ribeiro, Pedro Calais, Yuri Santos, Virgílio Almeida, andWagner M. Meira Jr. 2018. Characterizing and detecting hateful users on Twitter. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).
Débora Salles, Rose Marie Santini, Carlos Eduardo Barros, Bruno Martins, Marina Loureiro, Felipe Grael, Fernando Ferreira, Danielle Mello, Vitor do Carmo, Bianca Melo, Thamyres Magalhães, Daniel Loiola, João Gabriel Haddad, Matheus Gomes, Renata Seade, Daphne Silva, and Lucas Murakami. 2023. Orquestração Multiplataforma da Misoginia: O Caso Marcius Melhem.
Rose M. Santini, Débora Salles, Luciane L. Belin, Adriano Belisário, Bruno Mattos, Stéphanie G. Medeiros, Danielle Mello, Felipe Grael, Renata Seade, Amanda Borges, Lucas Murakami, Rafael Cardoso, Erick Dau, Felipe Loureiro, Bernardo Yoneshigue, Vitor D. Carmo, and Felipe Maia. 2024. "Aprenda a evitar ’esse tipo’ de mulher": estratégias discursivas e monetização da misoginia no Youtube. Technical Report. Laboratório de Estudos de Internet e Redes Sociais, Universidade Federal do Rio de Janeiro (UFRJ).
Vinícius Santos, Felipe Henriques, and Gustavo Guedes. 2022. O discurso de ódio homofóbico no Twitter a partir da análise de dados. In Proc. XI Brazilian Workshop on Social Network Analysis and Mining.
Tamara Shepherd, Alison Harvey, Tim Jordan, Sam Srauy, and Kate Miltner. 2015. Histories of Hating. Social Media + Society 1 (2015), 1–10.
Fábio Souza, Rodrigo Nogueira, and Roberto Lotufo. 2020. BERTimbau: pretrained BERT models for Brazilian Portuguese. In Brazilian conference on intelligent systems. Springer, 403–417.
Richardy R Tanure, Aline M Dias, Lucas A Camelo, Jussara Almeida, Helen CSC Lima, and Carlos HG Ferreira. 2025. Caracterização do debate online sobre cigarro eletrônico no Brasil: Uma análise de tópicos de discussão no YouTube. In Brazilian Workshop on Social Network Analysis and Mining (BraSNAM). SBC, 54–64.
Yla Tausczik and James Pennebaker. 2010. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29 (2010), 24–54.
Douglas Trajano, Rafael H Bordini, and Renata Vieira. 2024. OLID-BR: offensive language identification dataset for Brazilian Portuguese. Language Resources and Evaluation 58, 4 (2024), 1263–1289.
Otávio R Venâncio, Gabriel HS Gonçalves, Carlos HG Ferreira, and Ana Paula C da Silva. 2024. Evidências de disseminação de conteúdo no Telegram durante o ataque aos órgãos públicos brasileiros em 2023. In Brazilian Symposium on Multimedia and the Web (WebMedia). SBC, 385–389.
Gracila Vilaça and Carlos d’Andréa. 2021. Da manosphere à machosfera: Práticas (sub)culturais masculinistas em plataformas anonimizadas. Revista Eco-Pós 24, 2 (2021), 410–440. [link]
Gracila Vilaça and Carlos d’Andréa. 2021. Da manosphere à machosfera: Práticas (sub)culturais masculinistas em plataformas anonimizadas. Revista Eco-Pós 24, 2 (2021), 410–440.
Ryan L Boyd, Ashwini Ashokkumar, Sarah Seraj, and James W Pennebaker. 2022. The development and psychometric properties of LIWC-22. Austin, TX: University of Texas at Austin 10 (2022), 1–47.
Caroline Brun and Vassilina Nikoulina. 2024. FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts. In Proceedings of the Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024. ELRA and ICCL, 105–114. [link]
Jean Burgess and Joshua Green. 2009. YouTube: Online Video and Participatory Culture. Polity Press. 140 pages.
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. SBC, 24–34.
Matteo Cinelli, Andraž Pelicon, Igor Mozetič, Walter Quattrociocchi, Petra K. Novak, and Fabiana Zollo. 2021. Dynamics of online hate and misinformation. Scientific Reports 11 (2021), 22197.
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. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 8440–8451. [link]
Nicholas Kluge Corrêa. 2024. Dynamic normativity: Necessary and sufficient conditions for value alignment. Tese de Pós Graduação. PUCRS, Porto Alegre, Brasil.
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017. Automated Hate Speech Detection and the Problem of Offensive Language. Proceedings of the International AAAI Conference on Web and Social Media 11 (2017).
Muriel de Groot, Mohammad Aliannejadi, and Marcel R. Haas. 2022. Experiments on Generalizability of BERTopic on Multi-Domain Short Text. ArXiv abs/2212.08459 (2022).
Christian C. de Lima. 2023. Movidos pelo ódio: a machosfera e o desejo de supremacia masculina. Trabalho de Conclusão de Curso. Universidade de Brasília.
Ergon C. de M. Silva. 2024. Anti-woke agenda, gender issues, revisionism and hate speech communities on Brazilian Telegram: from harmful reactionary speech to the crime of glorifying Nazism and Hitler. CoRR (2024).
Bruna C. S. Lima e Silva. 2023. Masculinismo: misoginia e redes de ódio no contexto da radicalização política do Brasil. Tese de Doutorado. Pontifícia Universidade Católica de Minas Gerais.
Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, and Elizabeth Belding. 2018. Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).
Mai ElSherief, Shirin Nilizadeh, Dana Nguyen, Giovanni Vigna, and Elizabeth Belding. 2018. Peer to Peer Hate: Hate Speech Instigators and Their Targets. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).
Rosa Falotico and Piero Quatto. 2015. Fleiss’ kappa statistic without paradoxes. Quality & Quantity 49, 2 (2015), 463–470.
Tracie Farrell, Miriam Fernandez, Jakub Novotny, and Harith Alani. 2019. Exploring Misogyny across the Manosphere in Reddit. In Proceedings of the 10th ACM Conference on Web Science. Association for Computing Machinery, 87–96.
Pedro P. Balage Filho, Thiago Alexandre Salgueiro Pardo, and Sandra M. 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.
Tommaso Fornaciari, Omar G. Morales, Auxiliadora Alcántara, Simona Frenda, and Massimo Piccardi. 2020. Linguistic and content features to identify fake news on YouTube. In Proceedings of the 7th Italian Conference on Computational Linguistics (CLiC-it 2020), Vol. 2699.
Martha E Francis and James W Pennebaker. 1992. Putting stress into words: The impact of writing on physiological, absentee, and self-reported emotional well-being measures. American Journal of Health Promotion 6, 4 (1992), 280–287.
Debbie Ging. 2019. Alphas, Betas, and Incels: Theorizing the Masculinities of the Manosphere. Men and Masculinities 22 (2019), 638–657.
Amaro Grassi and Marco A. Ruediger. 2023. Movimento Red Pill no Youtube: eixos argumentativos e recomendações algorítmicas. Technical Report. FGV ECMI (Escola de Comunicação, Mídia e Informação).
Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022).
Hussam Habib, Padmini Srinivasan, and Rishab Nithyanand. 2022. Making a Radical Misogynist: How Online Social Engagement with the Manosphere Influences Traits of Radicalization. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 450 (2022), 28 pages.
Laura Hanu and Unitary team. 2020. Detoxify. Github. [link].
Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, and Savvas Zannettou. 2021. The Evolution of the Manosphere Across the Web. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 15. 196–207.
Larissa Malagoli, Giovana Piorino, Carlos HG Ferreira, and Ana Paula Couto da Silva. 2024. Twitter and the 2022 brazilian elections portrait: A network and content-driven analysis. In Brazilian Symposium on Multimedia and the Web (WebMedia). SBC, 283–291.
Manor High School. 2025. Guide to Emojis. Disponível em: [link]. Acesso em: 13 de julho de 2025.
Alice E. Marwick and Robyn Caplan. 2018. Drinking male tears: language, the manosphere, and networked harassment. Feminist Media Studies 18 (2018), 543–559.
Binny Mathew, Ritam Dutt, Pawan Goyal, and Animesh Mukherjee. 2019. Spread of Hate Speech in Online Social Media. In Proceedings of the 10th ACM Conference on Web Science (Boston, Massachusetts, USA). Association for Computing Machinery, New York, NY, USA, 173–182.
Daniel T. Miller. 2021. Characterizing QAnon: Analysis of YouTube comments presents new conclusions about a popular conservative conspiracy. First Monday 26 (2021).
Leann Myers and Maria J Sirois. 2004. Spearman correlation coefficients, differences between. Encyclopedia of statistical sciences 12 (2004).
Alexandra Olteanu, Carlos Castillo, Jeremy Boy, and Kush Varshney. 2018. The Effect of Extremist Violence on Hateful Speech Online. Proceedings of the International AAAI Conference on Web and Social Media 12 (2018).
ONU Mulheres. 2025. O que é a “machosfera” e por que devemos nos preocupar? [link]. Acesso em: 20 de julho de 2025.
John C. Paolillo. 2018. The Flat Earth phenomenon on YouTube. First Monday 23 (2018).
Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Michael Sirivianos. 2021. ’How over is it?’ Understanding the Incel Community on YouTube. Proc. ACM Hum. Comput. Interact. 5, CSCW2, Article 412 (2021).
Samuel Pinto, José Campolina, João Sena, Gabriel Félix, Lucas Ferreira, and Julio Reis. 2024. Caracterização e Predição de Usuários Tóxicos no Twitter/X durante as Eleições Brasileiras de 2022. In Proc. XIII Brazilian Workshop on Social Network Analysis and Mining.
Giovana Piorino, Vitor Moreira, Luiz Lima, Adriana Pagano, and Ana Silva. 2024. Análise de sentimentos de conteúdo compartilhado em comunidades brasileiras do Reddit: Avaliação de um conjunto de dados rotulados por humanos. In Proceedings of the 30th Brazilian Symposium on Multimedia and the Web. SBC, 54–62.
Kunal Relia, Zhengyi Li, S. H. Cook, and Rumi Chunara. 2019. Race, Ethnicity and National Origin-Based Discrimination in Social Media and Hate Crimes across 100 U.S. Cities. Proceedings of the International AAAI Conference on Web and Social Media 13 (2019), 417–427.
Cláudia da Cunha Ribas and Paula Ziviani. 2008. Mediação, circulação e uso da informação no contexto das redes sociais. ETD - Educação Temática Digital 9 (2008), 1–19.
Manoel Ribeiro, Pedro Calais, Yuri Santos, Virgílio Almeida, andWagner M. Meira Jr. 2018. Characterizing and detecting hateful users on Twitter. Proceedings of the International AAAI Conference on Web and Social Media 12, 1 (2018).
Débora Salles, Rose Marie Santini, Carlos Eduardo Barros, Bruno Martins, Marina Loureiro, Felipe Grael, Fernando Ferreira, Danielle Mello, Vitor do Carmo, Bianca Melo, Thamyres Magalhães, Daniel Loiola, João Gabriel Haddad, Matheus Gomes, Renata Seade, Daphne Silva, and Lucas Murakami. 2023. Orquestração Multiplataforma da Misoginia: O Caso Marcius Melhem.
Rose M. Santini, Débora Salles, Luciane L. Belin, Adriano Belisário, Bruno Mattos, Stéphanie G. Medeiros, Danielle Mello, Felipe Grael, Renata Seade, Amanda Borges, Lucas Murakami, Rafael Cardoso, Erick Dau, Felipe Loureiro, Bernardo Yoneshigue, Vitor D. Carmo, and Felipe Maia. 2024. "Aprenda a evitar ’esse tipo’ de mulher": estratégias discursivas e monetização da misoginia no Youtube. Technical Report. Laboratório de Estudos de Internet e Redes Sociais, Universidade Federal do Rio de Janeiro (UFRJ).
Vinícius Santos, Felipe Henriques, and Gustavo Guedes. 2022. O discurso de ódio homofóbico no Twitter a partir da análise de dados. In Proc. XI Brazilian Workshop on Social Network Analysis and Mining.
Tamara Shepherd, Alison Harvey, Tim Jordan, Sam Srauy, and Kate Miltner. 2015. Histories of Hating. Social Media + Society 1 (2015), 1–10.
Fábio Souza, Rodrigo Nogueira, and Roberto Lotufo. 2020. BERTimbau: pretrained BERT models for Brazilian Portuguese. In Brazilian conference on intelligent systems. Springer, 403–417.
Richardy R Tanure, Aline M Dias, Lucas A Camelo, Jussara Almeida, Helen CSC Lima, and Carlos HG Ferreira. 2025. Caracterização do debate online sobre cigarro eletrônico no Brasil: Uma análise de tópicos de discussão no YouTube. In Brazilian Workshop on Social Network Analysis and Mining (BraSNAM). SBC, 54–64.
Yla Tausczik and James Pennebaker. 2010. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology 29 (2010), 24–54.
Douglas Trajano, Rafael H Bordini, and Renata Vieira. 2024. OLID-BR: offensive language identification dataset for Brazilian Portuguese. Language Resources and Evaluation 58, 4 (2024), 1263–1289.
Otávio R Venâncio, Gabriel HS Gonçalves, Carlos HG Ferreira, and Ana Paula C da Silva. 2024. Evidências de disseminação de conteúdo no Telegram durante o ataque aos órgãos públicos brasileiros em 2023. In Brazilian Symposium on Multimedia and the Web (WebMedia). SBC, 385–389.
Gracila Vilaça and Carlos d’Andréa. 2021. Da manosphere à machosfera: Práticas (sub)culturais masculinistas em plataformas anonimizadas. Revista Eco-Pós 24, 2 (2021), 410–440. [link]
Gracila Vilaça and Carlos d’Andréa. 2021. Da manosphere à machosfera: Práticas (sub)culturais masculinistas em plataformas anonimizadas. Revista Eco-Pós 24, 2 (2021), 410–440.
Publicado
10/11/2025
Como Citar
MARTINS, Victor; SERAFIM, Sophia Eduarda V.; PEREIRA, Lívia Caroline R.; ALVES, Amanda F.; FERREIRA, Carlos H. G.; ALMEIDA, Jussara M..
A Misoginia no YouTube Brasileiro: Um Estudo de Caso sobre o Conteúdo Produzido pela Comunidade Red Pill. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 31. , 2025, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 28-37.
DOI: https://doi.org/10.5753/webmedia.2025.16070.
