Modelos de Previsão do Tom Emocional de Usuários em Comunidades de Saúde Mental no Reddit
Resumo
O crescimento do número de pessoas atingidas por problema de saúde mental colocou tais distúrbios entre os principais problemas de saúde pública em todo o mundo. Como resultado, aumentou-se a procura por comunidades sobre saúde mental em redes sociais online. Neste artigo, analisamos como as interações através de posts e comentários influenciam no estado emocional de usuários de comunidades de saúde mental no Reddit, verificando se a busca por auxílio nestas redes resulta em mudanças nos sentimentos expressos pelos usuários ao longo do tempo. Nossos resultados mostram que o estado dos usuários muda ao longo do tempo, e que em 68 dos casos a mudança é positiva. Também propomos modelos preditivos para capturar a variação do tom emocional.
Palavras-chave:
Saúde Mental, Redes Sociais Online, Aprendizado de Máquina
Referências
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[Blair and Abdullah 2018] Blair, J. and Abdullah, S. (2018). Supporting constructive mental health discourse in social media. In PervasiveHealth ’18.
[Cunha et al. 2017] Cunha, T., Weber, I., and Pappa, G. (2017). A warm welcome matters!: The link between social feedback and weight loss in/r/loseit. In WWW’17 Companion, pages 1063–1072. International World Wide Web Conferences Steering Committee.
[De Choudhury 2013] De Choudhury, M. (2013). Role of social media in tackling challenges in mental health. In Proceedings of the 2nd international workshop on Sociallyaware multimedia, pages 49–52. ACM.
[De Choudhury and De 2014] De Choudhury, M. and De, S. (2014). Mental health discourse on reddit: Self-disclosure, social support, and anonymity. In ICWSM.
[Gkotsis et al. 2016] Gkotsis, G., Oellrich, A., Hubbard, T., Dobson, R., Liakata, M., Velupillai, S., and Dutta, R. (2016). The language of mental health problems in social media. In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology.
[Gruda and Hasan 2019] Gruda, D. and Hasan, S. (2019). Feeling anxious? perceiving anxiety in tweets using machine learning. Computers in Human Behavior, 98:245–255.
[Hutto and Gilbert 2014] Hutto, C. J. and Gilbert, E. (2014). Vader: A parsimonious rulebased model for sentiment analysis of social media text. In ICWSM.
[Islam et al. ] Islam, M. R., Kabir, M. A., Ahmed, A., Kamal, A. R. M., Wang, H., and
Ulhaq, A. Depression detection from social network data using machine learning techniques. Health Information Science and Systems.
[Sahota and Sankar 2019] Sahota, P. K. and Sankar, P. L. (2019). Bipolar disorder, genetic risk, and reproductive decision-making: A qualitative study of social media discussion boards. Qualitative health research.
[Silveira et al. 2018] Silveira, B., da Silva, A. P. C., and Murai, F. (2018). Análise de comunidades de suporte a transtornos de saúde mental do reddit. In Anais do VII Brazilian Workshop on Social Network Analysis and Mining. SBC.
[Blair and Abdullah 2018] Blair, J. and Abdullah, S. (2018). Supporting constructive mental health discourse in social media. In PervasiveHealth ’18.
[Cunha et al. 2017] Cunha, T., Weber, I., and Pappa, G. (2017). A warm welcome matters!: The link between social feedback and weight loss in/r/loseit. In WWW’17 Companion, pages 1063–1072. International World Wide Web Conferences Steering Committee.
[De Choudhury 2013] De Choudhury, M. (2013). Role of social media in tackling challenges in mental health. In Proceedings of the 2nd international workshop on Sociallyaware multimedia, pages 49–52. ACM.
[De Choudhury and De 2014] De Choudhury, M. and De, S. (2014). Mental health discourse on reddit: Self-disclosure, social support, and anonymity. In ICWSM.
[Gkotsis et al. 2016] Gkotsis, G., Oellrich, A., Hubbard, T., Dobson, R., Liakata, M., Velupillai, S., and Dutta, R. (2016). The language of mental health problems in social media. In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology.
[Gruda and Hasan 2019] Gruda, D. and Hasan, S. (2019). Feeling anxious? perceiving anxiety in tweets using machine learning. Computers in Human Behavior, 98:245–255.
[Hutto and Gilbert 2014] Hutto, C. J. and Gilbert, E. (2014). Vader: A parsimonious rulebased model for sentiment analysis of social media text. In ICWSM.
[Islam et al. ] Islam, M. R., Kabir, M. A., Ahmed, A., Kamal, A. R. M., Wang, H., and
Ulhaq, A. Depression detection from social network data using machine learning techniques. Health Information Science and Systems.
[Sahota and Sankar 2019] Sahota, P. K. and Sankar, P. L. (2019). Bipolar disorder, genetic risk, and reproductive decision-making: A qualitative study of social media discussion boards. Qualitative health research.
[Silveira et al. 2018] Silveira, B., da Silva, A. P. C., and Murai, F. (2018). Análise de comunidades de suporte a transtornos de saúde mental do reddit. In Anais do VII Brazilian Workshop on Social Network Analysis and Mining. SBC.
Publicado
30/06/2020
Como Citar
SILVEIRA, Bárbara; DA SILVA, Ana Paula Couto; MURAI, Fabricio.
Modelos de Previsão do Tom Emocional de Usuários em Comunidades de Saúde Mental no Reddit. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 9. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 13-24.
ISSN 2595-6094.
DOI: https://doi.org/10.5753/brasnam.2020.11159.
