What Can We Learn About Mental Health Needs From Tweets Mentioning Dementia on World Alzheimer’s Day?

Alzheimer’s Association. (2016). 2016 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia, 12, 459-509.

Blei D. M. Ng A. Y. Jordan M. I. (2003, January). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.

Cavazos-Rehg P. A. Krauss M. J. Sowles S. Connolly S. Rosas C. Bharadwaj M. Bierut L. J. (2016). A content analysis of depression-related tweets. Computers in Human Behavior, 54, 351-357. doi:10.1016/j.chb.2015.08.023

Jelenchick L. A. Eickhoff J. C. Moreno M. A. (2013). “Facebook depression?” Social networking site use and depression in older adolescents. Journal of Adolescent Health, 52, 128-130. doi:10.1016/j.jadohealth.2012.05.008

Jelic V. Winblad B. (2016). Alzheimer disease. Donepezil and nursing home placement—Benefits and costs. Nature Reviews. Neurology, 12, 11-13. doi:10.1038/nrneurol.2015.237

Larsen M. E. Boonstra T. W. Batterham P. J. Odea B. Paris C. Christensen H. (2015). We feel: Mapping emotion on Twitter. IEEE Journal of Biomedical and Health Informatics, 19, 1246-1252. doi:10.1109/JBHI.2015.2403839

Martínez-Pérez B. de la Torre-Díez I. Bargiela-Flórez B. López-Coronado M. Rodrigues J. J. (2015). Content analysis of neurodegenerative and mental diseases social groups. Health Informatics Journal, 21, 267-283. doi:10.1177/1460458214525615

McIver D. J. Hawkins J. B. Chunara R. Chatterjee A. K. Bhandari A. Fitzgerald T. P. . . . Brownstein J. S. (2015). Characterizing sleep issues using Twitter. Journal of Medical Internet Research, 17(6), e140. doi:10.2196/jmir.4476

Morgan A. J. Jorm A. F. Mackinnon A. J. (2013). Internet-based recruitment to a depression prevention intervention: Lessons from the Mood Memos study. Journal of Medical Internet Research, 15(2), e31. doi:10.2196/jmir.2262

Naslund J. A. Aschbrenner K. A. Marsch L. A. Bartels S. J. (2016). The future of mental health care: Peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25, 113-122. doi:10.1017/S2045796015001067

Peek H. S. Richards M. Muir O. Chan S. R. Caton M. MacMillan C. (2015). Blogging and social media for mental health education and advocacy: A review for psychiatrists. Current Psychiatry Reports, 17(11), 88. doi:10.1007/s11920-015-0629-2

Perrin A. (2015). Social media usage: 2005-2015 Washington, D.C.: Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/2015/10/08/social-networking-usage-2005-2015/.

Prieto V. M. Matos S. Alvarez M. Cacheda F. Oliveira J. L. (2014). Twitter: A good place to detect health conditions. PLoS One, 9(1), e86191. doi:10.1371/journal.pone.0086191

Reavley N. J. Pilkington P. D. (2014). Use of Twitter to monitor attitudes toward depression and schizophrenia: An exploratory study. PeerJ, 2, e647. doi:10.7717/peerj.647

Rodrigues R. G. das Dores R. M. Camilo-Junior C. G. Rosa T. C. (2016). SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks. International Journal of Medical Informatics, 85(1), 80-95. doi:10.1016/j.ijmedinf.2015.09.007

Settanni M. Marengo D. (2015). Sharing feelings online: Studying emotional well-being via automated text analysis of Facebook posts. Frontiers in Psychology, 6, 1045. doi:10.3389/fpsyg.2015.01045

Subrahmanian V. Azaria A. Durst S. Kagan V. Galstyan A. Lerman K. . . . Menczer F. (2016). The DARPA Twitter Bot Challenge (arXiv preprint arXiv:1601.05140). Retrieved from https://arxiv.org/abs/ 1601.05140

Toseeb U. Inkster B. (2015). Online social networking sites and mental health research. Frontiers in Psychiatry, 6, 36. doi:10.3389/fpsyt.2015.00036

Whitehill J. M. Brockman L. N. Moreno M. A. (2013). “Just talk to me”: Communicating with college students about depression disclosures on Facebook. Journal of Adolescent Health, 52, 122-127. doi:10.1016/j.jadohealth.2012.09.015

Yang C. Srinivasan P. (2016). Life satisfaction and the pursuit of happiness on Twitter. PLoS One, 11(3), e0150881. doi:10.1371/journal.pone.0150881

Yin Z. Fabbri D. Rosenbloom S. T. Malin B. (2015). A scalable framework to detect personal health mentions on Twitter. Journal of Medical Internet Research, 17(6), e138. doi:10.2196/jmir.4305

Yoon S. Bakken S. (2012). Methods of knowledge discovery in tweets. NI 2012 (2012), 2012, 463.

Yoon S. Elhadad N. Bakken S. (2013). A practical approach for content mining of tweets. American Journal of Preventive Medicine, 45, 122-129. doi:10.1016/j.amepre.2013.02.025