REFERENCES
- Abi-Jaoude, E., K. T. Naylor, and A. Pignatiello. 2020. Smartphones, social media use and youth mental health. Canadian Medical Association Journal 192 (6):E136–41. doi:10.1503/cmaj.190434.
- Beauchamp, T. L., and J. F. Childress. 2019. Principles of biomedical ethics. Vol. 8. New York: Oxford University Press.
- Crawford, A. 2020. Instagram: new tools to ban self-harm and suicide posts. BBC. https://www.bbc.com/news/technology-54903428.
- D’Hotman, D., and E. Loh. 2020. AI enabled suicide prediction tools: a qualitative narrative review. BMJ Health Care Inform 27 (3):e100175.
- D’Hotman, D., E. Loh, and J. Savulescu. 2020. AI-enabled suicide prediction tools: ethical considerations for medical leaders. BMJ Leader 2020;0: 1–6. doi:10.1136/leader-2020-000275.
- Delmas, M. A., and V. C. Burbano. 2011. The drivers of greenwashing. California Management Review 54 (1):64–87. doi:10.1525/cmr.2011.54.1.64.
- D’Hotman, D., and E. Loh. 2020. AI enabled suicide prediction tools: a qualitative narrative review. BMJ Health & Care Informatics 27 (3):e100175. doi:10.1136/bmjhci-2020-100175.
- Laacke, S., Mueller, R., G. Schomerus, and S. Salloch. 2021. Artificial intelligence, social media and depression. A new concept of health-related digital autonomy. The American Journal of Bioethics 21 (7):4–20. doi:10.1080/15265161.2020.1863515.
- Muriello, D., L. Donahue, D. Ben-David, U. Ozertem, and R. Shilon. 2018. Under the hood: suicide prevention tools powered by AI available. Facebook Engineering. https://engineering.fb.com/ml-applications/under-the-hood-suicide-prevention-tools-powered-by-ai/.
- Naslund, J. A., A. Bondre, J. Torous, and K. A. Aschbrenner. 2020. Social media and mental health: benefits, risks, and opportunities for research and practice. Journal of Technology in Behavioral Science 5 (3):245–57. doi:10.1007/s41347-020-00134-x.
- Victor, E., Z. M. Aghajan, A. R. Sewart, and R. Christian. 2019. Detecting depression using a framework combining deep multimodal neural networks with a purpose-built automated evaluation. Psychol Assess 31 (8):1019–27. doi:10.1037/pas0000724.