BrStudentMH: A Reddit Dataset for Mental Health Analysis in the Brazilian University Context
Resumo
The increasing use of social networks has made platforms like REDDIT spaces for discussing sensitive topics without fear of judgment. This paper presents BrStudentMH, a dataset comprising 943 mental health-related posts and 15,680 comments in Brazilian Portuguese, collected from Brazilian higher education-related subreddits. The data were obtained through the REDDIT API and processed in a pipeline consisting of collection, categorization using Large Language Models, and pseudonymization. Its application is expected across various fields, providing insights into the mental health of Brazilian university students and contributing to the development of support and treatment policies.
Palavras-chave:
mental health, reddit, Brazilian universities
Referências
An, J., Kim, J., Sunwoo, L., Baek, H., Yoo, S., and Lee, S. (2025). De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained bert. BMC Medical Informatics and Decision Making, 25(1):82.
Byron, P. and McDaid, L. (2026). Informal digital peer support for mental health: understanding the digital support practices of LGBTQ+ young people in Australia. Culture, Health & Sexuality, 28(3):321–338.
Cohan, A., Desmet, B., Yates, A., Soldaini, L., MacAvaney, S., and Goharian, N. (2018). SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions. In Bender, E. M., Derczynski, L., and Isabelle, P., editors, Proceedings of the 27th International Conference on Computational Linguistics, pages 1485–1497, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Coppersmith, G., Dredze, M., Harman, C., and Hollingshead, K. (2015). From ADHD to SAD: Analyzing the language of mental health on twitter through self-reported diagnoses. In Proceedings of the 2nd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, pages 1–10.
Croes, E. A., Antheunis, M. L., Van Der Lee, C., and De Wit, J. M. (2024). Digital confessions: The willingness to disclose intimate information to a chatbot and its impact on emotional well-being. Interacting with Computers, 36(5):279–292.
da Silva Nascimento, R., Parreira, P., dos Santos, G., and Guedes, G. P. (2018). Identificando sinais de comportamento depressivo em redes sociais. In Anais do VII Brazilian Workshop on Social Network Analysis and Mining, pages 235–240, Porto Alegre, RS, Brasil. SBC.
Guillou, P. (2021). ner-bert-large-cased-pt-lenerbr: Bert large ner model for portuguese legal domain (lener-br). [link]. Hugging Face model. Accessed: 2026-04-27.
Guthold, R., Carvajal-Velez, L., Adebayo, E., Azzopardi, P., Baltag, V., Dastgiri, S., Dua, T., Fagan, L., Ferguson, B. J., Inchley, J. C., et al. (2023). The importance of mental health measurement to improve global adolescent health. Journal of Adolescent Health, 72(1):S3–S6.
Herculano, A., de Paula, T.-H., Fernandes, D., and Rego, A. (2024). DepreRedditBR: Um conjunto de dados textuais com postagens depressivas no idioma português brasileiro. In Anais do VI Dataset Showcase Workshop, pages 77–90, Porto Alegre, RS, Brasil. SBC.
Klann, V. and Sousa, E. (2024). Brsuicides: Conjunto de dados para análise de casos diários de suicídio no brasil. In Anais do VI Dataset Showcase Workshop, pages 12–22, Porto Alegre, RS, Brasil. SBC.
Li, Q., Li, J., and Fan, Y. (2025). Addressing mental health in university students: a call for action. Frontiers in Public Health, 13:1614999.
Low, D. M., Rumker, L., Talkar, T., Torous, J., Cecchi, G., and Ghosh, S. S. (2020). Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: Observational study. J Med Internet Res, 22(10):e22635.
Ruihua, L., Hassan, N. C., Qiuxia, Z., Sha, O., and Jingyi, D. (2025). A systematic review on the impact of social support on college students’ wellbeing and mental health. Plos one, 20(7):e0325212.
Sampath, K. and Durairaj, T. (2022). Data set creation and empirical analysis for detecting signs of depression from social media postings. In Kalinathan, L., R., P., Kanmani, M., and S., M., editors, Computational Intelligence in Data Science, pages 136–151, Cham. Springer International Publishing.
Santos, W. R. d., de Oliveira, R. L., and Paraboni, I. (2023). Setembrobr: a social media corpus for depression and anxiety disorder prediction. Lang. Resour. Eval., 58(1):273–300.
Times Higher Education (2025). Latin america university rankings 2026. [link]. Accessed: 11 dez. 2025.
Turcan, E. and McKeown, K. (2019). Dreaddit: A Reddit dataset for stress analysis in social media. In Holderness, E., Jimeno Yepes, A., Lavelli, A., Minard, A.-L., Pustejovsky, J., and Rinaldi, F., editors, Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019), pages 97–107, Hong Kong. Association for Computational Linguistics.
Vornholt, P. and De Choudhury, M. (2021). Understanding the role of social media–based mental health support among college students: Survey and semistructured interviews. JMIR Ment Health, 8(7):e24512.
Voss, C., Shorter, P., Weatrowski, G., Mueller-Coyne, J., and Turner, K. (2023). A comparison of anxiety levels before and during the covid-19 pandemic. Psychological Reports, 126(6):2669–2689. PMID: 35503814.
Xu, Y., Fang, Z., Lin, W., Jiang, Y., Jin, W., Balaji, P., Wang, J., and Xia, T. (2025). Evaluation of large language models on mental health: from knowledge test to illness diagnosis. Frontiers in Psychiatry, 16:1646974.
Byron, P. and McDaid, L. (2026). Informal digital peer support for mental health: understanding the digital support practices of LGBTQ+ young people in Australia. Culture, Health & Sexuality, 28(3):321–338.
Cohan, A., Desmet, B., Yates, A., Soldaini, L., MacAvaney, S., and Goharian, N. (2018). SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions. In Bender, E. M., Derczynski, L., and Isabelle, P., editors, Proceedings of the 27th International Conference on Computational Linguistics, pages 1485–1497, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Coppersmith, G., Dredze, M., Harman, C., and Hollingshead, K. (2015). From ADHD to SAD: Analyzing the language of mental health on twitter through self-reported diagnoses. In Proceedings of the 2nd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, pages 1–10.
Croes, E. A., Antheunis, M. L., Van Der Lee, C., and De Wit, J. M. (2024). Digital confessions: The willingness to disclose intimate information to a chatbot and its impact on emotional well-being. Interacting with Computers, 36(5):279–292.
da Silva Nascimento, R., Parreira, P., dos Santos, G., and Guedes, G. P. (2018). Identificando sinais de comportamento depressivo em redes sociais. In Anais do VII Brazilian Workshop on Social Network Analysis and Mining, pages 235–240, Porto Alegre, RS, Brasil. SBC.
Guillou, P. (2021). ner-bert-large-cased-pt-lenerbr: Bert large ner model for portuguese legal domain (lener-br). [link]. Hugging Face model. Accessed: 2026-04-27.
Guthold, R., Carvajal-Velez, L., Adebayo, E., Azzopardi, P., Baltag, V., Dastgiri, S., Dua, T., Fagan, L., Ferguson, B. J., Inchley, J. C., et al. (2023). The importance of mental health measurement to improve global adolescent health. Journal of Adolescent Health, 72(1):S3–S6.
Herculano, A., de Paula, T.-H., Fernandes, D., and Rego, A. (2024). DepreRedditBR: Um conjunto de dados textuais com postagens depressivas no idioma português brasileiro. In Anais do VI Dataset Showcase Workshop, pages 77–90, Porto Alegre, RS, Brasil. SBC.
Klann, V. and Sousa, E. (2024). Brsuicides: Conjunto de dados para análise de casos diários de suicídio no brasil. In Anais do VI Dataset Showcase Workshop, pages 12–22, Porto Alegre, RS, Brasil. SBC.
Li, Q., Li, J., and Fan, Y. (2025). Addressing mental health in university students: a call for action. Frontiers in Public Health, 13:1614999.
Low, D. M., Rumker, L., Talkar, T., Torous, J., Cecchi, G., and Ghosh, S. S. (2020). Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: Observational study. J Med Internet Res, 22(10):e22635.
Ruihua, L., Hassan, N. C., Qiuxia, Z., Sha, O., and Jingyi, D. (2025). A systematic review on the impact of social support on college students’ wellbeing and mental health. Plos one, 20(7):e0325212.
Sampath, K. and Durairaj, T. (2022). Data set creation and empirical analysis for detecting signs of depression from social media postings. In Kalinathan, L., R., P., Kanmani, M., and S., M., editors, Computational Intelligence in Data Science, pages 136–151, Cham. Springer International Publishing.
Santos, W. R. d., de Oliveira, R. L., and Paraboni, I. (2023). Setembrobr: a social media corpus for depression and anxiety disorder prediction. Lang. Resour. Eval., 58(1):273–300.
Times Higher Education (2025). Latin america university rankings 2026. [link]. Accessed: 11 dez. 2025.
Turcan, E. and McKeown, K. (2019). Dreaddit: A Reddit dataset for stress analysis in social media. In Holderness, E., Jimeno Yepes, A., Lavelli, A., Minard, A.-L., Pustejovsky, J., and Rinaldi, F., editors, Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019), pages 97–107, Hong Kong. Association for Computational Linguistics.
Vornholt, P. and De Choudhury, M. (2021). Understanding the role of social media–based mental health support among college students: Survey and semistructured interviews. JMIR Ment Health, 8(7):e24512.
Voss, C., Shorter, P., Weatrowski, G., Mueller-Coyne, J., and Turner, K. (2023). A comparison of anxiety levels before and during the covid-19 pandemic. Psychological Reports, 126(6):2669–2689. PMID: 35503814.
Xu, Y., Fang, Z., Lin, W., Jiang, Y., Jin, W., Balaji, P., Wang, J., and Xia, T. (2025). Evaluation of large language models on mental health: from knowledge test to illness diagnosis. Frontiers in Psychiatry, 16:1646974.
Publicado
08/09/2026
Como Citar
MARQUES, Maicon C.; SILVA, Camila O.; DALLAGNOL, Leonardo P.; ROCHA, Tiago C. B.; PONCIANO, Jean R..
BrStudentMH: A Reddit Dataset for Mental Health Analysis in the Brazilian University Context. In: DATASET SHOWCASE WORKSHOP (DSW), 8. , 2026, São Carlos/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 48-59.
DOI: https://doi.org/10.5753/dsw.2026.249469.
