1. Centers for Disease Control and Prevention. Web-based Injury Statistics Query and Reporting System (WISQARS) 2010. http://www.cdc.gov/injury/wisqars/index.html. Updated July 7, 2014. Accessed January 19, 2015. 2. Shioiri T, Nishimura A, Akazawa K, et al. Incidence of note-leaving remains constant despite increasing suicide rates. Psychiatr Clin Neurosci. 2005;59(2):226-228. 3. Barr W, Leitner M, Thomas J. Self-harm or attempted suicide? Do suicide notes help us decide the level of intent in those who survive? Accid Emerg Nurs. 2007;15(3):122-127. 4. Foster T. Suicide note themes and suicide prevention. Int J Psychiatry Med. 2003;33(4):323-331. 5. Bhatia MS, Verma SK, Murty OP. Suicide notes: psychological and clinical profile. Int J Psychiatry Med. 2006;36(2):163-170. 6. Jashinsky J, Burton SH, Hanson CL, et al. Tracking suicide risk factors through Twitter in the US. Crisis. 2014;35(1):51-59. 7. Facebook news room. Company info. http://newsroom. fb.com/company-info. Accessed January 7, 2015. 8. Ruder TD, Hatch GM, Ampanozi G, et al. Suicide announcement on Facebook. Crisis. 2011;32(5):280-282. 9. Luxton DD, June JD, Fairall JM. Social media and suicide: a public health perspective. Am J Public Health. 2012;102(suppl 2):S195-S200. 10. Lehavot K, Ben-Zeev D, Neville RE. Ethical considerations and social media: a case of suicidal postings on Facebook. Journal of Dual Diagnosis. 2012;8(4):341-346. 11. Bennett A, Pourmand A, Shokoohi H, et al. Impacts of social networking sites on patient care in the emergency department. Telemed J E Health. 2014;20(1):94-96. 12. How to report suicidal content/threats on Facebook. h t tps ://www. facebook.com/notes/amer ican-foundation-for-suicide-prevention/how-to-report-suicidal-contentthreats-on-facebook/10150090259398144. Published February 15, 2011. Accessed January 22, 2015. 13. Mohri M, Rostamizadeh A, Talwalker A. Foundations of machine learning (adaptive computation and machine learning series). Cambridge, MA: MIT Press; 2012:14. 14. Blázquez Gil G, Berlanga de Jesús A, Molina Lopéz JM. Combining machine learning techniques and natural language processing to infer emotions using Spanish Twitter corpus. Communications in Computer and Information Science. 2013;365:149-157. 15. Poulin C, Shiner B, Thompson P, et al. Predicting the risk of suicide by analyzing the text of clinical notes. PLoS One. 2014;9(1):e85733. 16. Pestian JP, Matykiewicz P, Linn-Gust M. What’s in a note: construction of a suicide note corpus. Biomed Inform Insights. 2012;5:1-6. 17. ConsumerReports.org. Facebook & your privacy. http:// www.consumerreports.org/cro/magazine/2012/06/ facebook-your-privacy/index.html. Published June 2012. Accessed January 22, 2015