APA (7th ed.) Citation

Nguyen, T. T., Yue, X., Mane, H., Seelman, K., Mullaputi, P. S. P., Dennard, E., . . . Nguyen, Q. C. (2025). Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study. Journal of Medical Internet Research, 27, 1. https://doi.org/10.2196/72822

Chicago Style (17th ed.) Citation

Nguyen, Thu T., et al. "Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study." Journal of Medical Internet Research 27 (2025): 1. https://doi.org/10.2196/72822.

MLA (9th ed.) Citation

Nguyen, Thu T., et al. "Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study." Journal of Medical Internet Research, vol. 27, 2025, p. 1, https://doi.org/10.2196/72822.