ABSTRACT
The Werther effect describes the increased rate of completed or attempted suicides following the depiction of an individual's suicide in the media, typically a celebrity. We present findings on the prevalence of this effect in an online platform: r/SuicideWatch on Reddit. We examine both the posting activity and post content after the death of ten high-profile suicides. Posting activity increases following reports of celebrity suicides, and post content exhibits considerable changes that indicate increased suicidal ideation. Specifically, we observe that post-celebrity suicide content is more likely to be inward focused, manifest decreased social concerns, and laden with greater anxiety, anger, and negative emotion. Topic model analysis further reveals content in this period to switch to a more derogatory tone that bears evidence of self-harm and suicidal tendencies. We discuss the implications of our findings in enabling better community support to psychologically vulnerable populations, and the potential of building suicide prevention interventions following high-profile suicides.
- A. G. Billings and R. H. Moos. Coping, stress, and social resources among adults with unipolar depression. Journal of personality and social psychology, 46(4):877, 1984.Google Scholar
- S. Bird. NLTK: the natural language toolkit. In COLING/ACL Interactive presentation sessions, 2006. Google ScholarDigital Library
- D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research (JMLR), 3:993--1022, 2003. Google ScholarDigital Library
- A. Boals and K. Klein. Word use in emotional narratives about failed romantic relationships and subsequent mental health. Journal of Language and Social Psychology, 24(3):252--268, 2005.Google ScholarCross Ref
- A. T. Cheng, K. Hawton, T. H. Chen, A. M. Yen, C.-Y. Chen, L.-C. Chen, and P.-R. Teng. The influence of media coverage of a celebrity suicide on subsequent suicide attempts. Journal of Clinical Psychiatry, 68(6):862--866, 2007.Google ScholarCross Ref
- A. Chester and A. O'Hara. Image, identity and pseudonymity in online discussions. International Journal of Learning, 13(12), 2007.Google Scholar
- C. Chung and J. W. Pennebaker. The psychological functions of function words. Social Comm., pages 343--359, 2007.Google Scholar
- G. Coppersmith, M. Dredze, and C. Harman. Quantifying mental health signals in twitter. In ACL Workshop on Computational Linguistics and Clinical Psychology, 2014.Google ScholarCross Ref
- G. Coppersmith, C. Harman, and M. Dredze. Measuring post traumatic stress disorder in twitter. In International Conference on Weblogs and Social Media (ICWSM), 2014.Google Scholar
- M. De Choudhury, S. Counts, E. Horvitz, and A. Hoff. Characterizing and predicting postpartum depression from facebook data. In Computer-Supported Cooperative Work and Social Computing (CSCW), 2014. Google ScholarDigital Library
- M. De Choudhury and S. De. Mental health discourse on reddit: Self-disclosure, social support, and anonymity. In International Conference on Weblogs and Social Media (ICWSM), 2014.Google Scholar
- M. De Choudhury, M. Gamon, S. Counts, and E. Horvitz. Predicting depression via social media. In International Conference on Weblogs and Social Media (ICWSM), 2013.Google Scholar
- M. De Choudhury, M. R. Morris, and R. W. White. Seeking and sharing health information online: Comparing search engines and social media. In Human factors in computing systems (CHI), 2014. Google ScholarDigital Library
- K. Dinakar, B. Jones, H. Lieberman, R. Picard, C. Rose, and M. T. R. Reichart. You too?! mixed initiative lda story-matching to help teens in distress. In International Conference on Weblogs and Social Media (ICWSM), 2012.Google Scholar
- R. M. Fernquist and P. Cutright. Societal integration and age-standardized suicide rates in 21 developed countries, 1955--1989. Social Science Research, 27(2):109--127, 1998.Google ScholarCross Ref
- K.-w. Fu and C. Chan. A study of the impact of thirteen celebrity suicides on subsequent suicide rates in south korea from 2005 to 2009. PloS one, 8(1):e53870, 2013.Google ScholarCross Ref
- K.-w. Fu and P. S. Yip. Long-term impact of celebrity suicide on suicidal ideation: Results from a population-based study. Journal of Epidemiology and Community Health, 61(6):540--546, 2007.Google ScholarCross Ref
- S. A. Golder and M. W. Macy. Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures. Science, 333(6051):1878--1881, 2011.Google ScholarCross Ref
- M. S. Gould. Suicide and the media. Annals of the New York Academy of Sciences, 932(1):200--224, 2001.Google ScholarCross Ref
- S. H. Hemenover. The good, the bad, and the healthy: Impacts of emotional disclosure of trauma on resilient self-concept and psychological distress. Personality and Social Psychology Bulletin, 29(10):1236--1244, 2003.Google ScholarCross Ref
- M. Hoffman, F. R. Bach, and D. M. Blei. Online learning for latent dirichlet allocation. In Neural Information Processing Systems (NIPS), 2010.Google Scholar
- C. M. Homan, N. Lu, X. Tu, M. C. Lytle, and V. Silenzio. Social structure and depression in trevorspace. In Computer-Supported Cooperative Work and Social Computing (CSCW), 2014. Google ScholarDigital Library
- D. J. Houghton and A. N. Joinson. Linguistic markers of secrets and sensitive self-disclosure in twitter. In Hawaii International Conference on System Science (HICSS), 2012. Google ScholarDigital Library
- S. Jamison-Powell, C. Linehan, L. Daley, A. Garbett, and S. Lawson. I can't get no sleep: discussing insomnia on twitter. In Human factors in computing systems (CHI), 2012. Google ScholarDigital Library
- N. Lapidot-Lefler and A. Barak. Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition. Computers in human behavior, 28(2):434--443, 2012. Google ScholarDigital Library
- M. A. Long. As if day had rearranged into night: suicidal tendencies in the poetry of anne sexton. Lit Psychol, 39:26--41, 1993.Google Scholar
- D. D. Luxton, J. D. June, and J. M. Fairall. Social media and suicide: A public health perspective. American Journal of Public Health, 102(S2):S195--S200, 2012.Google ScholarCross Ref
- T. R. Lynch, J. Cheavens, J. Q. Morse, and M. Rosenthal. A model predicting suicidal ideation and hopelessness in depressed older adults: The impact of emotion inhibition and affect intensity. Aging & Mental Health, 8(6):486--497,2004.Google ScholarCross Ref
- M. A. Moreno, D. A. Christakis, K. G. Egan, L. N. Brockman, and T. Becker. Associations between displayed alcohol references on facebook and problem drinking among college students. Archives of Pediatrics & Adolescent Medicine, 166(2):157--163, 2011.Google ScholarCross Ref
- E. L. Murnane and S. Counts. Unraveling abstinence and relapse: smoking cessation reflected in social media. In Human factors in computing systems (CHI), 2014. Google ScholarDigital Library
- T. Niederkrotenthaler, K.-w. Fu, P. S. Yip, D. Y. Fong, S. Stack, Q. Cheng, and J. Pirkis. Changes in suicide rates following media reports on celebrity suicide: a meta-analysis. Journal of epidemiology and community health, 66(11):1037--1042, 2012.Google Scholar
- T. Niederkrotenthaler, A. Herberth, and G. Sonneck. The "werther-effect": legend or reality? Neuropsychiatrie: Klinik, Diagnostik, Therapie und Rehabilitation: Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater, 21(4):284--290, 2006.Google Scholar
- T. Niederkrotenthaler, B. Till, N. D. Kapusta, M. Voracek, K. Dervic, and G. Sonneck. Copycat effects after media reports on suicide: A population-based ecologic study. Social science & medicine, 69(7):1085--1090, 2009.Google Scholar
- I. O'Donnell, R. Farmer, and J. Catalan. Suicide notes. The British Journal of Psychiatry, 163(1):45--48, 1993.Google ScholarCross Ref
- C. E. Osgood and E. G. Walker. Motivation and language behavior: A content analysis of suicide notes. The Journal of Abnormal and Social Psychology, 59(1):58, 1959.Google ScholarCross Ref
- M. Park, D. W. McDonald, and M. Cha. Perception differences between the depressed and non-depressed users in twitter. In International Conference on Weblogs and Social Media (ICWSM), 2013.Google Scholar
- M. J. Paul and M. Dredze. You are what you tweet: Analyzing twitter for public health. In International Conference on Weblogs and Social Media (ICWSM), 2011.Google Scholar
- M. J. Paul and M. Dredze. Discovering health topics in social media using topic models. PLoS ONE, 9(8), 2014.Google Scholar
- M. J. Paul, M. Dredze, and D. Broniatowski. Twitter improves influenza forecasting. PLOS Currents Outbreaks, 2014.Google ScholarCross Ref
- J. W. Pennebaker, M. E. Francis, and R. J. Booth. Linguistic inquiry and word count: Liwc 2001. Mahway: Lawrence Erlbaum Associates, 71:2001, 2001.Google Scholar
- J. W. Pennebaker, T. J. Mayne, and M. E. Francis. Linguistic predictors of adaptive bereavement. Journal of personality and social psychology, 72(4):863, 1997.Google Scholar
- K. Petrie and R. Brook. Sense of coherence, self-esteem, depression and hopelessness as correlates of reattempting suicide. British Journal of Clinical Psychology, 31(3):293--300, 1992.Google ScholarCross Ref
- J. E. Pirkis, P. M. Burgess, C. Francis, R. W. Blood, and D. J. Jolley. The relationship between media reporting of suicide and actual suicide in australia. Social science & medicine, 62(11):2874--2886, 2006.Google Scholar
- D. W. Prezant and R. A. Neimeyer. Cognitive predictors of depression and suicide ideation. Suicide and Life-Threatening Behavior, 18(3):259--264, 1988.Google ScholarCross Ref
- K. W. Prier, M. S. Smith, C. Giraud-Carrier, and C. L. Hanson. Identifying health-related topics on twitter. In Social computing, behavioral-cultural modeling and prediction, pages 18--25. Springer, 2011. Google ScholarCross Ref
- R.Rěhuřek and P.Sojka. Software Framework for Topic Modelling with Large Corpora. In LREC Workshop on New Challenges for NLP Frameworks, 2010.Google Scholar
- S. Rude, E.-M. Gortner, and J. Pennebaker. Language use of depressed and depression-vulnerable college students. Cognition & Emotion, 18(8):1121--1133, 2004.Google ScholarCross Ref
- T. D. Ruder, G. M. Hatch, G. Ampanozi, M. J. Thali, and N. Fischer. Suicide announcement on facebook. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 32(5):280--282, 2011.Google ScholarCross Ref
- A. Sadilek, H. A. Kautz, and V. Silenzio. Modeling spread of disease from social interactions. In International Conference on Weblogs and Social Media (ICWSM), 2012.Google Scholar
- H. A. Schwartz, J. Eichstaedt, M. L. Kern, G. Park, M. Sap, D. Stillwell, M. Kosinski, and L. Ungar. Towards assessing changes in degree of depression through facebook. In Association for Computational Linguistics (ACL), 2014.Google ScholarCross Ref
- E. S. Shneidman. Suicide notes reconsidered. Psychiatry, 36(4):379--394, 1973.Google ScholarCross Ref
- E. S. Shneidman and N. L. Farberow. Clues to suicide. Public Health Reports, 71(2):109, 1956.Google ScholarCross Ref
- M. A. Silverman and N. P. Will. Sylvia plath and the failure of emotional self-repair through poetry. The Psychoanalytic Quarterly, 1986.Google ScholarCross Ref
- M. Sisask and A. Värnik. Media roles in suicide prevention: a systematic review. International journal of environmental research and public health, 9(1):123--138, 2012.Google ScholarCross Ref
- J. M. Smyth. Written emotional expression: effect sizes, outcome types, and moderating variables. Journal of consulting and clinical psychology, 66(1):174, 1998.Google Scholar
- S. Stack. Media coverage as a risk factor in suicide. Journal of epidemiology and community health, 57(4):238--240, 2003.Google Scholar
- S. W. Stirman and J. W. Pennebaker. Word use in the poetry of suicidal and nonsuicidal poets. Psychosomatic Medicine, 63(4):517--522, 2001.Google ScholarCross Ref
- J. Suler. The online disinhibition effect. Cyberpsychology & behavior, 7(3):321--326, 2004.Google ScholarCross Ref
- Y. R. Tausczik and J. W. Pennebaker. The psychological meaning of words: Liwc and computerized text analysis methods. Journal of Language and Social Psychology, 29(1):24--54, 2010.Google ScholarCross Ref
- K. M. Thomas and M. Duke. Depressed writing: Cognitive distortions in the works of depressed and nondepressed poets and writers. Psychology of Aesthetics, Creativity, and the Arts, 1(4):204, 2007.Google Scholar
- I. M. Wasserman. Imitation and suicide: A reexamination of the werther effect. American sociological review, pages 427--436, 1984.Google Scholar
- H.-H. Won, W. Myung, G.-Y. Song, W.-H. Lee, J.-W. Kim, B. J. Carroll, and D. K. Kim. Predicting national suicide numbers with social media data. PloS one, 8(4):e61809, 2013.Google ScholarCross Ref
- P. S. Yip, K.-W. Fu, K. C. Yang, B. Y. Ip, C. L. Chan, E. Y. Chen, D. T. Lee, F. Y. Law, and K. Hawton. The effects of a celebrity suicide on suicide rates in hong kong. Journal of affective disorders, 93(1):245--252, 2006.Google Scholar
Index Terms
- Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides
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