Analysis and Prediction of Users' Emotional Tone in Reddit Mental Health Communities


  • Bárbara Silveira Universidade Federal de Minas Gerais (UFMG)
  • Fabricio Murai Universidade Federal de Minas Gerais (UFMG)
  • Ana Paula Couto da Silva Universidade Federal de Minas Gerais (UFMG)



mental health, reddit, sentiment analysis, machine learning


The rise in the number of people afflicted by mental health problems has placed these disorders among the main public health problems worldwide. As a result, user activity in communities related to mental health in online social networks has spiked. Here we characterize user activity in mental health-related communities on Reddit and analyze how user interactions through posts and comments influence their emotional state. In particular, we investigate whether seeking help on these networks results in changes in the feelings expressed by users over time. We observe that authors of negative posts often write rosier comments after engaging in discussions, indicating that users' emotional state can improve due to social support. Our results show that users who start discussions in these communities writing posts expressing negative feelings, tend to write more positive comments at the end, that is, they present an improvement in their emotional tone. In addition, we propose predictive models to capture the variation of the emotional tone of these users. Our models could assist in interventions promoted by health care professionals to provide support to the mentally-ill.


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How to Cite

Silveira, B., Murai, F., & Couto da Silva, A. P. (2021). Analysis and Prediction of Users’ Emotional Tone in Reddit Mental Health Communities. ISys - Brazilian Journal of Information Systems, 14(2), 53–78.



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