Analyze Mental Health Disorders from Social Media: A Review
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21438-7_5
Reference19 articles.
1. Chancellor, S., Birnbaum, M.L., Caine, E.D., Silenzio, V.M., De Choudhury, M.: A taxonomy of ethical tensions in inferring mental health states from social media. In: Proceedings of the conference on fairness, accountability, and transparency, pp. 79–88 (2019)
2. Chancellor, S., Birnbaum, M.L., Caine, E.D., Silenzio, V.M., De Choudhury, M.: A taxonomy of ethical tensions in inferring mental health states from social media. In: Proceedings of the conference on fairness, accountability, and transparency, pp. 79–88 (2019)
3. Conway, M., O’Connor, D.: Social media, big data, and mental health: current advances and ethical implications. Curr. Opin. Psychol. 9, 77–82 (2016)
4. Gitari, N.D., Zuping, Z., Damien, H., Long, J.: A lexicon-based approach for hate speech detection. Int. J. Multimedia Ubiquitous Eng. 10(4), 215–230 (2015)
5. Guntuku, S.C., Yaden, D.B., Kern, M.L., Ungar, L.H., Eichstaedt, J.C.: Detecting depression and mental illness on social media: an integrative review. Curr. Opin. Behav. Sci. 18, 43–49 (2017)
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