ABSTRACT
One of the oldest patient communities on Twitter is characterized by the hashtag #bcsm, and it is a forum for breast cancer patients and survivors. This community has been hosting a weekly, moderated chat for the last three years. This paper describes work that analyzes the content of these chats and explores their effectiveness for the patients. The computational analysis compares the engagement, linguistic, and psychological facets of patients' tweets during the chats and out of the chats, and shows that there is a significant difference in the tweeting behavior by the patients in the two modes. The result shows the effectiveness of social media chats for cancer patients for the purposes of information exchange and support.
- Butcher, L. 2013. Profiles in oncology social media: Deanna Attai, MD,@ DrAttai. Oncology Times 35, 24, 40--42.Google ScholarCross Ref
- Fox, S., and Duggan, M. 2013. Health online 2013. Pew Internet and American Life Project. Health.Google Scholar
- Elkin, N. 2008. How America searches: health and wellness. Avalable at: http://www.icrossing.com/icrossing-how-america-searches (accessed 21 February 2012).Google Scholar
- Tang, X., and Christopher, C. Y. 2012. Ranking user influence in healthcare social media. ACM Transactions on Intelligent Systems and Technology (TIST) 3, 4, 73. Google ScholarDigital Library
- Domingo, M. C. 2010. Managing healthcare through social networks. Computer 43, 7, 20--25. Google ScholarDigital Library
- Rude, S., Gortner, E. M., and Pennebaker, J. 2004. Language use of depressed and depression-vulnerable college students. Cognition & Emotion 18, 8, 1121--1133.Google ScholarCross Ref
- Graesser, A. C., et al. 2004. Coh-Metrix: Analysis of text on cohesion and language. Behavior Research Methods, Instruments & Computers 36, 2, 193--202.Google ScholarCross Ref
- Holmes, D., et al. 2007. Cognitive and emotional processing in narratives of women abused by intimate partners. Violence against women 13, 11, 1192--1205.Google Scholar
- Tausczik, Y. R., and Pennebaker, J. W. 2010. The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology 29, 1, 24--54.Google ScholarCross Ref
- Thaler, R. H., and Sunstein, C. R. 2008. Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.Google Scholar
- De Choudhury, M., Counts, S., and Horvitz, E. 2013. Predicting postpartum changes in emotion and behavior via social media. In Proceedings of the 2013 ACM annual conference on Human factors in computing systems. ACM, 2013. Google ScholarDigital Library
- Pennebaker, James W., Matthias R. Mehl, and Kate G. Niederhoffer. 2003. Psychological aspects of natural language use: Our words, our selves. Annual review of psychology 54, 1, 547--577.Google Scholar
- De Choudhury, M., Counts, S., and Horvitz, E. Major life changes and behavioral markers in social media: case of childbirth. In Proceedings of the 2013 conference on Computer supported cooperative work. ACM, 2013. Google ScholarDigital Library
- Golder, S. A., and Macy, M. W. 2011. Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science 333, 6051, 1878--1881.Google Scholar
- Centers for Disease Control and Prevention. World Cancer Day Centers for Disease Control and Prevention, http://www.cdc.gov/cancer/dcpc/resources/features/worldcancerday/.Google Scholar
- Ginsberg, Jeremy, et al. 2009. Detecting influenza epidemics using search engine query data. Nature 4577232, 1012--1014.Google ScholarCross Ref
- Healthcare Hashtag Project. http://www.symplur.com/healthcare-hashtags/Google Scholar
- Hawn, C. 2009. "Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care." Health affairs 28, 2, 361--368.Google ScholarCross Ref
- Sarasohn-Kahn, J. 2008. The wisdom of patients: Health care meets online social media. Oakland, CA: California HealthCare Foundation.Google Scholar
- Modahl, M., Tompsett, L., and Moorhead, T. 2011. Doctors, Patients & Social Media. http://www.quantiamd.com/q-qcp/social_media.pdfGoogle Scholar
- Buchanan, E. 2012. Ethical decision-making and internet research.Google Scholar
- Gruzd, A., and Haythornthwaite, C. 2013. Enabling community through social media. Journal of medical Internet research 15, 10.Google ScholarCross Ref
- De Choudhury, M., and De, Sushovan. 2014. Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity. In International AAAI Conference on Weblogs and Social Media.Google ScholarCross Ref
- Tighe, P. J., Goldsmith, R. C., Gravenstein, M., Bernard, H. R., Fillingim, R. B. 2015 The Painful Tweet: Text, Sentiment, and Community Structure Analyses of Tweets Pertaining to Pain. J Med Internet Res.17, 4, 84Google ScholarCross Ref
- Symplur website for bcsm http://www.symplur.com/healthcare-hashtags/bcsm/Google Scholar
Index Terms
- A study of tweet chats for breast cancer patients
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