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Original Article

Mental illness and bipolar disorder on Twitter: implications for stigma and social support

ORCID Icon, , , , &
Pages 191-199 | Received 12 Jul 2019, Accepted 25 Sep 2019, Published online: 07 Nov 2019

References

  • Andalibi, N., Ozturk, P., & Forte, A. (2017, January). Sensitive Self-disclosures, Responses, and Social Support on Instagram. Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW ’17, Portland, Oregon, USA. doi:10.1145/2998181.2998243
  • Angermeyer, M. C., & Matschinger, H. (2003). The stigma of mental illness: Effects of labelling on public attitudes towards people with mental disorder. Acta psychiatrica Scandinavica, 108, 304–309. doi:10.1034/j.1600-0447.2003.00150.x
  • Archak, N., Ghose, A., & Ipeirotis, P. G. (2011). Deriving the Pricing Power of Product Features by Mining Consumer Reviews. Management Science, 57(8), 1485–1509. doi:10.1287/mnsc.1110.1370
  • Aseervatham, S., Gaussier, E., Antoniadis, A., Burlet, M., & Denneulin, Y. (2012). Logistic regression and text classification. In E. Gaussier & F. Yvon (Eds.), Textual information access (pp. 61–84). London, United Kingdom: ISTE Ltd.
  • Bakshy, E., Hofman, J., Mason, W., & Watts, D. (2011). Everyone’s an influencer: Quantifying influence on twitter. Proceedings of the Fourth ACM International Conference on Web Search and Data Mining SE - WSDM ’11, 65–74. doi:10.1145/1935826.1935845
  • Becker, H., & Gravano, L. (2011). Beyond Trending Topics: Real-World Event Identification on Twitter (Tech Report).pdf, 438–441.
  • Block, E. (2013). A culturalist approach to the concept of the mediatization of politics: The age of “media hegemony.” Communication Theory, 23(2003), 259–278. doi:10.1111/comt.12016
  • Bonnington, O., & Rose, D. (2014). Exploring stigmatisation among people diagnosed with either bipolar disorder or borderline personality disorder: a critical realist analysis. Social Science & Medicine (1982), 123, 7–17. doi:10.1016/j.socscimed.2014.10.048
  • Brohan, E., Elgie, R., Sartorius, N., & Thornicroft, G. (2010). Self-stigma, empowerment and perceived discrimination among people with schizophrenia in 14 European countries: The GAMIAN-Europe study. Schizophrenia Research, 122(1-3), 232–238. doi:10.1016/j.schres.2010.02.1065
  • Budenz, A., Purtle, J., Klassen, A., Yom-Tov, E., Yudell, M., & Massey, P. (2018). The case of a mass shooting and violence-related mental illness stigma on twitter. Stigma and Health, doi:10.1037/sah0000155
  • Cha, M., Haddai, H., Benevenuto, F., & Gummadi, K. P. (2010, May). Measuring User Influence in Twitter: The Million Follower Fallacy. International AAAI Conference on Weblogs and Social Media. Washington, DC, USA. 10.1.1.167.192
  • Chou, H. T. G., & Edge, N. (2012). They are happier and having better lives than i am”: the impact of using Facebook on perceptions of others’ lives. Cyberpsychology, Behavior, and Social Networking, 15(2), 117–121. doi:10.1089/cyber.2011.0324
  • Corrigan, P. W., Markowitz, F. E., & Watson, A. C. (2004). Structural Levels of Mental Illness Stigma and Discrimination. Schizophrenia Bulletin, 30(3), 481–491. doi:10.1093/oxfordjournals.schbul.a007096
  • Corrigan, P. W., Rafacz, J., & Rüsch, N. (2011). Examining a progressive model of self-stigma and its impact on people with serious mental illness. Psychiatry Research, 189(3), 339–343. doi:10.1016/j.psychres.2011.05.024
  • Corrigan, P. W., Watson, A. C., Gracia, G., Slopen, N., Rasinski, K., & Hall, L. L. (2005). Newspaper stories as measures of structural stigma. Psychiatric Services, 56(5), 551–556. doi:10.1176/appi.ps.56.5.551
  • Cutrona, C. E., & Suhr, J. A. (1992). Controllability of stressful events and satisfaction with spouse support behaviors. Communication Research, 19(2), 154–174. doi:10.1177/009365092019002002
  • De Choudhury, M., & Gamon, M. (2013). Predicting Depression via Social Media. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, 2, 128–137. doi:10.1109/IRI.2012.6302998
  • De Choudhury, M., Sundaram, H., John, A., & Seligmann, D. D. (2008). Can blog communication dynamics be correlated with stock market activity? Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia HT 08, 55–60. doi:10.1145/1379092.1379106
  • Dodds, P. S., & Danforth, C. M. (2010). Measuring the happiness of large-scale written expression: Songs, blogs, and presidents. Journal of Happiness Studies, 11(4), 441–456. doi:10.1007/s10902-009-9150-9
  • Dredze, M. (2012). How social media will change public health. IEEE Intelligent Systems, 27(4), 81–84. doi:10.1109/MIS.2012.76
  • Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. doi:10.1111/j.1083-6101.2007.00367.x
  • Ellison, N., Mason, O., & Scior, K. (2013). Bipolar disorder and stigma: A systematic review of the literature. Journal of Affective Disorders, 151, 805–820. doi:10.1016/j.jad.2013.08.014
  • Fadden, G., Bebbington, P., & Kuipers, L. (1987). Caring and its burdens. A study of the spouses of depressed patients. The British Journal of Psychiatry: The Journal of Mental Science, 151, 660–667. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/3446310
  • Franklin, B., Hamer, M., Hanna, M., Kinsey, M., & Richardson, J. (2005). Key concepts in journalism studies. London: Sage.
  • Goldberg, S. G. (2012). Becoming the denigrated other: Group relations perspectives on initial reactions to a bipolar disorder diagnosis. Frontiers in Psychology, 3, 347. doi:10.3389/fpsyg.2012.00347
  • Goodwin, G., & Sachs, G. (2010). Fast facts: Bipolar disorder (2nd ed.). Oxford, UK: Health Press Limited.
  • Goulden, R., Corker, E., Evans-Lacko, S., Rose, D., Thornicroft, G., & Henderson, C. (2011). Newspaper coverage of mental illness in the UK, 1992-2008. BMC Public Health, 11(1), 796. doi:10.1186/1471-2458-11-796
  • Gowen, K., Deschaine, M., Gruttadara, D., & Markey, D. (2012). Young Adults with Mental Health Conditions and Social Networking Websites: Seeking Tools to Build Community. Psychatric Rehabilitation, 35(3), 245–250. doi:10.2975/35.3.2012.245.250
  • Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Washington, DC: Pew Research Center.
  • Gruhl, D., Guha, R., Liben-Nowell, D., & Tomkins, A. (2004). Information diffusion through blogspace. In Proceedings of the 13th conference on World Wide Web - WWW ’04 (p. 491). doi:10.1145/988672.988739
  • Hansen, L. K., Arvidsson, A., Nielsen, F. A., Colleoni, E., & Etter, M. (2011). Good friends, bad news - Affect and virality in twitter. In Communications in Computer and Information Science (Vol. 185 CCIS, pp. 34–43). doi:10.1007/978-3-642-22309-9_5
  • Humphreys, L., Gill, P., Krishnamurthy, B., & Newbury, E. (2013). Historicizing new media: A content analysis of twitter. Journal of Communication, 63(3), 413–431. doi:10.1111/jcom.12030
  • Ilic, M., Reinecke, J., Bohner, G., Hans-Onno, R., Beblo, T., Driessen, M., … Corrigan, P. W. (2012). Protecting self-esteem from stigma: A test of different strategies for coping with the stigma of mental illness. International Journal of Social Psychiatry, 58(3), 246–257. doi:10.1177/0020764010392058
  • Joseph, A. J., Tandon, N., Yang, L. H., Duckworth, K., Torous, J., Seidman, L. J., & Keshavan, M. S. (2014). Schizophrenia: Use and misuse on Twitter. Schizophrenia Research, 165(2–3), 111–115. doi:10.1016/j.schres.2015.04.009
  • Jurafsky, D., & Martin, J. (2015). Classification: Naive Bayes, Logistic Regression, Sentiment. In Speech and Lanugage Processing (pp. 1–28). Upper Saddle River, NJ: Pearson Prentice Hall.
  • Kass-Hout, T. A., & Alhinnawi, H. (2013). Social media in public health. British Medical Bulletin, 108(1), 5–24. doi:10.1093/bmb/ldt028
  • Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. doi:10.1001/archpsyc.62.6.593
  • Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is Twitter, a Social Network or a News Media? The International World Wide Web Conference Committee (IW3C2), (pp. 1–10). doi:10.1145/1772690.1772751
  • Link, B. G., Struening, E. L., Neese-Todd, S., Asmussen, S., & Phelan, J. C. (2002). On describing and seeking to change the experience of stigma. Psychiatric Rehabilitation Skills, 6(2), 201–231. doi:10.1080/10973430208408433
  • Livingston, J. D., Cianfrone, M., Korf-Uzan, K., & Coniglio, C. (2014). Another time point, a different story: One year effects of a social media intervention on the attitudes of young people towards mental health issues. Social Psychiatry and Psychiatric Epidemiology, 49(6), 985–990. doi:10.1007/s00127-013-0815-7
  • Markowitz, F. E. (1998). The effects of stigma on the psychological well-being and life satisfaction of persons with mental illness. Journal of Health and Social Behavior, 39(4), 335–347. doi:10.2307/2676342
  • Massey, P. M., Budenz, A., Leader, A., Fisher, K., Klassen, A. C., & Yom-Tov, E. (2018). What drives health professionals to tweet about #HPVvaccine? Identifying strategies for effective communication. Preventing Chronic Disease, 15(2), E26. doi:10.5888/pcd15.170320
  • McKeon, P., & Carrick, S. (1991). Public attitudes to depression: a national survey. Irish Journal of Psychological Medicine, 8, 116–121.
  • Merikangas, K. R., Akiskal, H. S., Angst, J., Greenberg, P. E., Hirschfeld, R. M. A., Petukhova, M., & Kessler, R. C. (2007). Lifetime and 12-month prevalence of bipolar spectrum disorder in the national comorbidity survey replication. Archives of General Psychiatry, 64(5), 543. doi:10.1001/archpsyc.64.5.543
  • Mills, A. J. (2012). Virality in social media: The SPIN Framework. Journal of Public Affairs, 12(2), 162. doi:10.1002/pa.1418
  • Miner, G., Delen, D., Elder, J., Fast, A., Hill, T., & Nisbet, R. (2012). Practical text mining and statistical analysis for non-structured text data applications (1st ed.). Kidlington: Academic Press.
  • National Institute of Mental Health. (2008). Prevalence of serious mental illness among US adults by sex. age, and race in 2008. Bethesda: National Institute of Mental Health.
  • National Institute of Mental Health. (2015). Bipolar Disorder. Retrieved from http://www.nimh.nih.gov/health/topics/bipolar-disorder/index.shtml
  • National Institute of Mental Health. (2019). Mental Illness. Bethesda: National Institute of Mental Health.
  • Parmelee, J. (2011). Politics and the Twitter revolution: How tweets influence the relationship between political leaders and the public. Lanham, MD: Lexington Books.
  • Parmelee, J. H. (2014). The agenda-building function of political tweets. New Media and Society, 16(3), 434–450. doi:10.1177/1461444813487955
  • Perlick, D. A., Rosenheck, R. A., Clarkin, J. F., Sirey, J. A., Salahi, J., Struening, E. L., & Link, B. G. (2001). Stigma as a barrier to recovery: Adverse effects of perceived stigma on social adaptation of persons diagnosed with bipolar affective disorder. Psychiatric Services (Washington, D.C.), 52(12), 1627–1632. doi:10.1176/appi.ps.52.12.1627
  • Pew Center for Research. (2010). New Media, Old Media:
  • Pfeffer, J., Mayer, K., & Morstatter, F. (2018). Tampering with Twitter’s Sample API. EPJ Data Science, 7(1), 1–21. doi:10.1140/epjds/s13688-018-0178-0
  • Qiu, L., Lin, H., Leung, A. K., & Tov, W. (2012). Putting Their Best Foot Forward: Emotional Disclosure on Facebook. Cyberpsychology, Behavior, and Social Networking, 15(10), 569–572. doi:10.1089/cyber.2012.0200
  • RapidMiner. (2017). RapidMiner Platform. Retrieved from https://rapidminer.com/products/
  • Reavley, N. J., & Pilkington, P. D. (2014). Use of Twitter to monitor attitudes toward depression and schizophrenia: An exploratory study. Peer Journal, 2, e647. doi:10.7717/peerj.647
  • Reinecke, L., & Trepte, S. (2013). Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity. Computers in Human Behavior, 30, 95–102. doi:10.1016/j.chb.2013.07.030
  • Rüsch, N., Angermeyer, M. C., & Corrigan, P. W. (2005). Mental illness stigma: Concepts, consequences, and initiatives to reduce stigma. Retrieved from: doi:10.1016/j.eurpsy.2005.04.004
  • Sirey, J. A., Bruce, M. L., Alexopoulos, G. S., Perlick, D. A., Raue, P., Friedman, S. J., & Meyers, B. S. (2001). Perceived stigma as a predictor of treatment discontinuation in young and older outpatients with depression. American Journal of Psychiatry, 158(3), 479–481. doi:10.1176/appi.ajp.158.3.479
  • Smith, A., & Anderson, M. (2018). Social media use in 2018.
  • Smith, R. A. (2007). Language of the lost: An explication of stigma communication. Communication Theory, 17(4), 462–485. doi:10.1111/j.1468-2885.2007.00307.x
  • Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72(2), 99. doi:10.1509/jmkg.72.2.99
  • Spaniol, L., & Gagne, C. (1997). Acceptance: Some reflections. Psychiatric Rehabilitation Journal, 20(3), 75–77. doi:10.1037/h0095358
  • Sprenger, T. O., Sandner, P. G., Tumasjan, A., & Welpe, I. M. (2014). News or noise? Using twitter to identify and understand company-specific news flow. Journal of Business Finance and Accounting, 41, 7–8. doi:10.1111/jbfa.12086
  • StataCorp. (2015). Stata 14. College Station, TX. Retrieved from https://www.stata.com/stata14/
  • Stout, P. A., Villegas, J., & Jennings, N. A. (2004). Images of mental illness in the media: Identifying gaps in the research. Schizophrenia Bulletin, 30(3), 543–561. doi:10.1093/oxfordjournals.schbul.a007099
  • Suh, B., Hong, L., Pirolli, P., & Chi, E. H. (2010). Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust (pp. 177–184). doi:10.1109/SocialCom.2010.33
  • Sundar, S. S., Kalyanaraman, S., & Brown, J. (2003). Explicating web site interactivity: impression formation effects in political campaign sites. Communication Research, 30(1), 30–59. doi:10.1177/0093650202239025
  • Teo, H. H., Oh, L. B., Liu, C., & Wei, K. K. (2003). An empirical study of the effects of interactivity on web user attitude. International Journal of Human-Computer Studies, 58(3), 281–305. doi:10.1016/S1071-5819(03)00008-9
  • The Substance Abuse and Mental Health Services Administration. (2015). Survey on drug use and health: Mental health findings. Rockville, MD.
  • University of Nebraska Medical Center. (2015). The area under an ROC curve. Retrieved from http://gim.unmc.edu/dxtests/roc3.htm
  • Viron, M. J., & Stern, T. A. (2010). The impact of serious mental illness on health and healthcare. Psychosomatics, 51(6), 458–465. doi:10.1016/S0033-3182(10)70737-4
  • Wahl, O. E., Wood, A., & Richards, R. (2002). Newspaper coverage of mental illness: Is it changing?. Psychiatric Rehabilitation Skills, 6(1), 9–31. doi:10.1080/10973430208408417
  • Weng, J., Lim, E. P., Jiang, J., & He, Q. (2010). Twitterrank: Finding topic-sensitive influential twitterers. Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM 2010), 261–270. doi:10.1145/1718487.1718520
  • Wolkenstein, L., & Meyer, T. D. (2008). Attitudes of young people towards depression and mania. Psychology and Psychotherapy: Theory, Research and Practice, 81(1), 15–31. doi:10.1348/147608307X218274
  • Wong, C. A., Merchant, R. M., & Moreno, M. A. (2014). Using social media to engage adolescents and young adults with their health. Healthcare, 2(4), 220–224. doi:10.1016/j.hjdsi.2014.10.005
  • Wu, G. (2005). The mediating role of perceived interactivity in the effect of actual interactivity on attitude toward the website. Journal of Interactive Advertising, 5(2), 29–39. doi:10.1080/15252019.2005.10722099
  • Yom-Tov, E., Fernandez-Luque, L., Weber, I., & Crain, S. P. (2012). Pro-anorexia and pro-recovery photo sharing: A tale of two warring tribes. Journal of Medical Internet Research, 14(6). doi:10.2196/jmir.2239
  • Ziebland, S., & Wyke, S. (2012). Health and illness in a connected world: How might sharing experiences on the internet affect people’s health?. Milbank Quarterly, 90(2), 219. doi:10.1111/j.1468-0009.2012.00662.x

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