The perceptions of social and information privacy risks of Inflammatory Bowel Disease patients using social media platforms for health-related support.

With hundreds of thousands of individuals using social media to discuss health concerns, sensitive personal data is self-disclosed on these platforms every day. Previous research indicates an understanding of social privacy concerns by patients with chronic illnesses, but there is a lack of understanding in the perception of information privacy concerns. Qualitative interviews were conducted with 38 patients with inflammatory bowel disease (IBD) using social media platforms to engage with online communities. Using thematic analysis, we identified that patients typically demonstrate the privacy and risk dual calculus for perceived social privacy concerns. Patients demonstrate mixed knowledge of what data is collected and how it is used by social media platforms and often described their platform use as a trade-off between the unknown information privacy risks and the therapeutic affordances of engaging with the online community (the privacy calculus). Our findings illustrate the different levels of understanding between social and information privacy and the impacts on how individuals take agency over their personal data. We conclude with the suggestion for future research to further understand the relationship between knowledge, information privacy concerns and mitigating actions in the online health community context.

[1]  McKnightD. Harrison,et al.  What does it mean to trust facebook , 2011 .

[2]  Danah Boyd,et al.  Networked privacy: How teenagers negotiate context in social media , 2014, New Media Soc..

[3]  Julia Angwin,et al.  Dragnet Nation: A Quest for Privacy, Security, and Freedom in a World of Relentless Surveillance , 2014 .

[4]  Richie Barker,et al.  Trapped in the Filter Bubble? Exploring the Influence of Google Search on the Creative Process , 2018, Journal of Interactive Advertising.

[5]  Anita L. Blanchard,et al.  Motivations in virtual health communities and their relationship to community, connectedness and stress , 2013, Comput. Hum. Behav..

[6]  S. Vermeire,et al.  IBD and health-related quality of life -- discovering the true impact. , 2014, Journal of Crohn's & colitis.

[7]  Krishna P. Gummadi,et al.  Potential for Discrimination in Online Targeted Advertising , 2018, FAT.

[8]  J. Ogden,et al.  A qualitative study of patients’ experience of living with inflammatory bowel disease: A preliminary focus on the notion of adaptation , 2016, Journal of health psychology.

[9]  David Gefen,et al.  The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online , 2010, Decis. Support Syst..

[10]  Allison A. Lewinski,et al.  Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol , 2017, JMIR research protocols.

[11]  Helena M. Mentis,et al.  Non-static nature of patient consent: shifting privacy perspectives in health information sharing , 2013, CSCW.

[12]  M. C. Summers The Effect of Ostomate-to-Ostomate Support on Psychosocial Adaptation to Stoma , 2018 .

[13]  Debra Lauterbach,et al.  It's not that i don't have problems, i'm just not putting them on facebook: challenges and opportunities in using online social networks for health , 2011, CSCW.

[14]  Alessandro Acquisti,et al.  Expecting the Unexpected: Understanding Mismatched Privacy Expectations Online , 2016, SOUPS.

[15]  Sarah Spiekermann,et al.  Towards a value theory for personal data , 2017, J. Inf. Technol..

[16]  R. Britt,et al.  Online Social Support for Participants of Crohn’s and Ulcerative Colitis Groups , 2017, Health communication.

[17]  Eric Horvitz,et al.  Predicting Depression via Social Media , 2013, ICWSM.

[18]  H. Nissenbaum Privacy as contextual integrity , 2004 .

[19]  Jennifer Preece,et al.  Non-public and public online community participation: Needs, attitudes and behavior , 2006, Electron. Commer. Res..

[20]  Leslie S. Liu,et al.  "I'm Not Like My Friends": Understanding How Children with a Chronic Illness Use Technology to Maintain Normalcy , 2015, CSCW.

[21]  Cory R. A. Hallam,et al.  Online self-disclosure: The privacy paradox explained as a temporally discounted balance between concerns and rewards , 2017, Comput. Hum. Behav..

[22]  Yan Zhang,et al.  Facebook as a Platform for Health Information and Communication: A Case Study of a Diabetes Group , 2013, Journal of Medical Systems.

[23]  J. Naslund,et al.  Risks to Privacy With Use of Social Media: Understanding the Views of Social Media Users With Serious Mental Illness. , 2019, Psychiatric services.

[24]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[25]  E. Szigethy,et al.  Inflammatory bowel disease. , 2011, Pediatric clinics of North America.

[26]  Bianca C. Reisdorf,et al.  Social Shaping of the Politics of Internet Search and Networking: Moving Beyond Filter Bubbles, Echo Chambers, and Fake News , 2017 .

[27]  N. Coulson Patterns of Engagement With Inflammatory Bowel Disease Online Support Groups: Comparing Posters and Lurkers , 2015, Gastroenterology nursing : the official journal of the Society of Gastroenterology Nurses and Associates.

[28]  Emmanouil Magkos,et al.  The Privacy Paradox in the Context of Online Health Data Disclosure by Users , 2017, EMCIS.

[29]  H. Patterson Contextual Expectations of Privacy in Self-Generated Health Information Flows , 2013 .

[30]  R. Wilton Trust and ethical data handling in the healthcare context , 2017 .

[31]  S. Vondracek,et al.  The manipulation and measurement of self-disclosure in preadolescents. , 1971 .

[32]  Kieron O'Hara,et al.  The Seven Veils of Privacy , 2016, IEEE Internet Comput..

[33]  N. Coulson,et al.  How do online patient support communities affect the experience of inflammatory bowel disease? An online survey , 2013, JRSM short reports.

[34]  Sung-Hee Kim,et al.  Toward Predicting Social Support Needs in Online Health Social Networks , 2017, Journal of medical Internet research.

[35]  Alcides Velasquez,et al.  Motivations to participate in online communities , 2010, CHI.

[36]  S. Ayers,et al.  A Thematic Analysis of Stigma and Disclosure for Perinatal Depression on an Online Forum , 2016, JMIR mental health.

[37]  J. Turner SOCIAL MEDIA AND HEALTHCARE: AN ANALYSIS OF RESEARCH AND LIMITATIONS , 2017 .

[39]  K. Crawford,et al.  Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms , 2013 .

[40]  Zeynep Cemalcilar,et al.  Age differences in privacy attitudes, literacy and privacy management on Facebook , 2016 .

[41]  S. Hanauer,et al.  Inflammatory bowel disease: Epidemiology, pathogenesis, and therapeutic opportunities , 2006, Inflammatory bowel diseases.

[42]  GefenDavid,et al.  The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online , 2010, DSS 2010.

[43]  J. Segar,et al.  “I Always Vet Things”: Navigating Privacy and the Presentation of Self on Health Discussion Boards Among Individuals with Long-Term Conditions , 2016, Journal of medical Internet research.

[44]  Monika Taddicken,et al.  The 'Privacy Paradox' in the Social Web: The Impact of Privacy Concerns, Individual Characteristics, and the Perceived Social Relevance on Different Forms of Self-Disclosure1 , 2014, J. Comput. Mediat. Commun..

[45]  M. Guy Between ‘going private’ and ‘NHS privatisation’: patient choice, competition reforms and the relationship between the NHS and private healthcare in England , 2019, Legal Studies.

[46]  Nancy K. Lankton,et al.  What does it mean to trust facebook?: examining technology and interpersonal trust beliefs , 2011, DATB.

[47]  Marco Roccetti,et al.  Inside chronic autoimmune disease communities: A social networks perspective to Crohn's patient behavior and medical information , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

[48]  Jessica Kilham,et al.  Crohn's and Colitis Foundation of America , 2014 .

[49]  Massimo Barbaro,et al.  A Face Is Exposed for AOL Searcher No , 2006 .

[50]  D. Asch,et al.  Facebook language predicts depression in medical records , 2018, Proceedings of the National Academy of Sciences.