Analyzing Twitter Data to Understand Stigmatization of Schizophrenia Before and After Elon Musk
DOI:
https://doi.org/10.47611/jsrhs.v12i3.4637Keywords:
Twitter, Schizophrenia, Stigmatization, Stigma, Social Norms, Content Moderation, Elon MuskAbstract
Stigmatization of mental health has become an increasingly prevalent issue in recent years, particularly on social media. The perpetuation of online stigma has significant negative impact on those with schizophrenia, affecting their social lives, self-esteem, ability to succeed in treatment, and more. One major factor that may affect stigmatization on social media is how content moderation is perceived by the users of the platform, as well as the social norms surrounding acceptable discussions on said platform. This relationship has not yet been examined in the context of schizophrenia stigma on Twitter. Elon Musk’s recent acquisition of Twitter has provided an opportunity to do just this, as his public statements and goals for the platform have suggested increased “freedom of speech” and decreased restrictions on content posted, changing how Twitter users perceive allowed conversations. The current study analyzed discussions of schizophrenia on Twitter before and after Elon Musk’s acquisition, coding individual Tweets based on the extent to which they indicated a stigmatizing attitude towards schizophrenia. Main findings include a marginally significant positive association between schizophrenia stigmatization and Musk’s acquisition of Twitter, with an increase in stigmatizing attitudes. Further, in agreement with previous literature on this topic, this study reveals that the stigma of schizophrenia is widespread on Twitter both prior and following Musk’s acquisition. The results of the study may be useful in guiding social networking companies and advocacy efforts to create programs or restrictions that counters stigmatization and further protects those with schizophrenia.
Downloads
References or Bibliography
Benton, B., Choi, J. A., Luo, Y., Green, K. (2022). Hate Speech spikes on twitter after Elon Musk Acquires the Platform. School of Communication and Media, Montclair State University. Retrieved from https://www.montclair.edu/school-of-communication-and-media/wp-content/uploads/sites/20/2022/11/Montclair-State-SCM-Study-Increases-in-Twitter-Hate-Speech-After-Elon-Musks-Acquisition.pdf
Chen, K., Duan, Z., & Yang, S. (2023). Twitter as research data: Tools, costs, skill sets, and lessons learned. Politics and the life sciences: The Journal of the Association for Politics and the Life Sciences, 41(1), 114–130. https://doi.org/10.1017/pls.2021.19
Collins, B., Zadrozny, B., Ingram, D. (2022, November 4). Days before the midterms, Twitter lays off employees who fight misinformation. NBCNews.com. Retrieved April 21, 2023, from https://www.nbcnews.com/tech/misinformation/twitter-fires-employees-fight-misinformation-midterm-elections-rcna55750
Dang, S., Roumeliotis, G. (2022, October 28). Musk begins his Twitter ownership with firings, declares the 'bird is freed'. Reuters. Retrieved April 21, 2023, from https://www.reuters.com/markets/deals/elon-musk-completes-44-bln-acquisition-twitter-2022-10-28/
Degenhard, J. (2023, March 21). Global: Twitter users 2018-2027. Statista. Retrieved April 21, 2023, from https://www.statista.com/forecasts/1146722/twitter-users-in-the-world
Dockery, L., Jeffery, D., Schauman, O., Williams, P., Farrelly, S., Bonnington, O., Gabbidon, J., Lassman, F., Szmukler, G., Thornicroft, G., Clement, S., & MIRIAD study group (2015). Stigma- and non-stigma-related treatment barriers to mental healthcare reported by service users and caregivers. Psychiatry research, 228(3), 612–619. https://doi.org/10.1016/j.psychres.2015.05.044
Earnshaw, V. A., Watson, R. J., Eaton, L. A., Brousseau, N. M., Laurenceau, J. P., & Fox, A. B. (2022). Integrating time into stigma and health research. Nature reviews psychology, 1(4), 236–247. https://doi.org/10.1038/s44159-022-00034-2
Gilbert, D. (2022, October 28). Neo-Nazis, antisemites, and the N-word: Twitter just hours under Elon Musk. VICE. Retrieved April 21, 2023, from https://www.vice.com/en/article/jgpkqb/elon-musk-twitter-neo-nazis
Gross, J., & Vostroknutov, A. (2022). Why do people follow social norms?. Current opinion in psychology, 44, 1–6. https://doi.org/10.1016/j.copsyc.2021.08.016
Hadero, H., & Tulp, S. (2022, October 28). Musk took over Twitter. Then some users began testing Chaos. U.S. News. Retrieved April 21, 2023, from https://www.usnews.com/news/business/articles/2022-10-28/elon-took-over-twitter-then-some-users-began-testing-chaos
Hangartner, D., Gennaro, G., Alasiri, S., Bahrich, N., Bornhoft, A., Boucher, J., Demirci, B. B., Derksen, L., Hall, A., Jochum, M., Munoz, M. M., Richter, M., Vogel, F., Wittwer, S., Wüthrich, F., Gilardi, F., & Donnay, K. (2021). Empathy-based counterspeech can reduce racist hate speech in a social media field experiment. Proceedings of the National Academy of Sciences of the United States of America, 118(50), e2116310118. https://doi.org/10.1073/pnas.2116310118
Jansli, S. M., Hudson, G., Negbenose, E., Erturk, S., Wykes, T., & Jilka, S. (2022). Investigating mental health service user views of stigma on Twitter during COVID-19: a mixed-methods study. Journal of Mental Health (Abingdon, England), 31(4), 576–584. https://doi.org/10.1080/09638237.2022.2091763
Jikeli, G., & Soemer, K. (2022). Conversations About Jews on Twitter: Recent Developments Since Elon Musk’s Takeover. Computational and Mathematical Organization Theory.
Joseph, A. J., Tandon, N., Yang, L. H., Duckworth, K., Torous, J., Seidman, L. J., & Keshavan, M. S. (2015). #Schizophrenia: Use and misuse on Twitter. Schizophrenia research, 165(2-3), 111–115. https://doi.org/10.1016/j.schres.2015.04.009
Kara, U. Y., & Şenel Kara, B. (2022). Schizophrenia on Turkish Twitter: an exploratory study investigating misuse, stigmatization and trivialization. Social Psychiatry and Psychiatric Epidemiology, 57(3), 531-539. https://doi.org/10.1007/s00127-021-02112-x
Kim, A. E., Hansen, H. M., Murphy, J., Richards, A. K., Duke, J., & Allen, J. A. (2013). Methodological considerations in analyzing Twitter data. Journal of the National Cancer Institute. Monographs, 2013(47), 140–146. https://doi.org/10.1093/jncimonographs/lgt026
Kupferschmidt K. (2022). As Musk reshapes Twitter, academics ponder taking flight. Science (New York, N.Y.), 378(6620), 583–584. https://doi.org/10.1126/science.adf7189
MedCalc Software Ltd (2019). Odds ratio calculator (Version 20.218). https://www.medcalc.org/calc/odds_ratio.php
Musk, E. [@elonmusk]. (2022, October 27). the bird is freed [Tweet]. Twitter. https://twitter.com/elonmusk/status/1585841080431321088?lang=en
Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A. (2020). Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice. Journal of technology in behavioral science, 5(3), 245–257. https://doi.org/10.1007/s41347-020-00134-x
Nuño, L., Guilera, G., Coenen, M., Rojo, E., Gómez-Benito, J., & Barrios, M. (2019). Functioning in schizophrenia from the perspective of psychologists: A worldwide study. PloS one, 14(6), e0217936. https://doi.org/10.1371/journal.pone.0217936
Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Galvan Vela, E., Herzallah, A. M., & Liu, F. (2021). Effects of Social Media Use on Psychological Well-Being: A Mediated Model. Frontiers in Psychology, 12, 678766. https://doi.org/10.3389/fpsyg.2021.678766
Parcesepe, A. M., & Cabassa, L. J. (2013). Public stigma of mental illness in the United States: a systematic literature review. Administration and policy in mental health, 40(5), 384–399. https://doi.org/10.1007/s10488-012-0430-z
Passerello, G. L., Hazelwood, J. E., & Lawrie, S. (2019). Using Twitter to assess attitudes to schizophrenia and psychosis. BJPsych bulletin, 43(4), 158–166. https://doi.org/10.1192/bjb.2018.115
Patel, K. R., Cherian, J., Gohil, K., & Atkinson, D. (2014). Schizophrenia: overview and treatment options. P & T : a peer-reviewed journal for formulary management, 39(9), 638–645.
Pescosolido, B. A., Halpern-Manners, A., Luo, L., & Perry, B. (2021). Trends in Public Stigma of Mental Illness in the US, 1996-2018. JAMA network open, 4(12), e2140202. https://doi.org/10.1001/jamanetworkopen.2021.40202
Reavley, N. J., & Pilkington, P. D. (2014). Use of Twitter to monitor attitudes toward depression and schizophrenia: an exploratory study. PeerJ, 2, e647. https://doi.org/10.7717/peerj.647
Robinson, P., Turk, D., Jilka, S., & Cella, M. (2019). Measuring attitudes towards mental health using social media: investigating stigma and trivialisation. Social psychiatry and psychiatric epidemiology, 54(1), 51–58. https://doi.org/10.1007/s00127-018-1571-5
Santos, J. C., Barros, S., & Santos, I. M. M. (2016). Stigma: The Perspective of Workers on Community Mental Health Services-Brazil. Global qualitative nursing research, 3, 2333393616670442. https://doi.org/10.1177/2333393616670442
Savolainen, L. (2022). The shadow banning controversy: perceived governance and algorithmic folklore. Media, Culture & Society, 44(6), 1091-1109. https://doi.org/10.1177/01634437221077174
Social Science Statistics (2018). Chi-Square Test Calculator. https://www.socscistatistics.com/tests/chisquare2/default2.aspx.
van Zelst C. (2008). Which environments for G x E? A user perspective on the roles of trauma and structural discrimination in the onset and course of schizophrenia. Schizophrenia bulletin, 34(6), 1106–1110. https://doi.org/10.1093/schbul/sbn113
Wachs, S., Wettstein, A., Bilz, L., & Gámez-Guadix, M. (2022). Adolescents’ motivations to perpetrate hate speech and links with social norms. Comunicar, 30(71), 9-20. https://doi.org/10.3916/C71-2022-01
World Health Organization. (2022, January 10). Schizophrenia. World Health Organization. Retrieved April 21, 2023, from https://www.who.int/news-room/fact-sheets/detail/schizophrenia
Zadrozny, B. (2022, December 2). Elon Musk's 'amnesty' pledge brings back qanon, far-right Twitter accounts. NBCNews.com. Retrieved April 21, 2023, from https://www.nbcnews.com/tech/internet/elon-musks-twitter-beginning-take-shape-rcna58940
Zhao, Y., Guo, Y., He, X., Wu, Y., Yang, X., Prosperi, M., Jin, Y., & Bian, J. (2020). Assessing mental health signals among sexual and gender minorities using Twitter data. Health informatics journal, 26(2), 765–786. https://doi.org/10.1177/1460458219839621
Published
How to Cite
Issue
Section
Copyright (c) 2023 Melinda Mo; Daniel Olivo
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.