APA (7th ed.) Citation

TT, N., X, Y., H, M., K, S., PSP, M., E, D., . . . QC, N. (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, e72822. https://doi.org/10.2196/72822

Chicago Style (17th ed.) Citation

TT, Nguyen, 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): e72822. https://doi.org/10.2196/72822.

MLA (9th ed.) Citation

TT, Nguyen, 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. e72822, https://doi.org/10.2196/72822.