Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory
Keywords:Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health, Human computer interaction; social media tools; navigation and visualization, Qualitative and quantitative studies of social media
AbstractBecause of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress dis-closed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.
How to Cite
Cascalheira, C. J., Hamdi, S. M., Scheer, J. R., Saha, K., Boubrahimi, S. F., & Choudhury, M. D. (2022). Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1373-1377. https://doi.org/10.1609/icwsm.v16i1.19390