research-article

Exploring Indicators of Digital Self-Harm with Eating Disorder Patients: A Case Study

Authors:

Jessica A. Pater,

Brooke Farrington,

Lauren E. Reining,

Elizabeth D. MynattAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue CSCW

Article No.: 84, Pages 1 - 26

https://doi.org/10.1145/3359186

Published: 07 November 2019 Publication History

Abstract

Digital self-harm encompasses a variety of activities, including the use of social media to facilitate or amplify mental illness-related behaviors. To understand the extent of these behaviors and their impacts, we conducted an in-depth case study with three patients who are in recovery from an eating disorder. We collected survey data, conducted interviews reflecting back to their technology use during their active disease state, and reviewed up to 18 months of their social media data leading up to the start of their initial point of recovery. Through the triangulation of this data, we explore the role of social media and social technologies in relation to their eating disorder. By utilizing this methodology, we were able to provide a contextually rich and nuanced lens for exploring the impacts of digital self-harm on this group of patients. We found that patients acknowledged that the eating disordered content on social media had a negative impact on their health, often contributing to a worsening of the physical manifestations of their disorder. Conversely, while they actively consumed this content, our participants did not produce online content related to eating disordered activities or behaviors. Finally, we discuss the patterns within their social media data and how platform designers and operators could use these findings in the future through design considerations for future platform-based interventions.

References

[1]

Nazanin Andalibi, Pinar Ozturk, and Andrea Forte. 2017. Sensitive Self-disclosures, Responses, and Social Support on Instagram: The Case of #Depression. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 1485--1500. https://doi.org/10.1145/2998181.2998243

Digital Library

[2]

Albert Bandura. 1986. Prentice-Hall series in social learning theory. Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc, Englewood Cliffs, NJ, USA.

[3]

Pamela Baxter and Susan Jack. 2008. Qualitative Case Study Methodology: Study Design Implementation for Novice Researchers. The Qualitative Report 13, 4 (2008), 544--559. https://nsuworks.nova.edu/tqr/vol13/iss4/2

[4]

Dror Ben-Zeev, Christopher J. Brenner, Mark Begale, Jennifer Duffecy, David C. Mohr, and Kim T. Mueser. 2014. Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophrenia Bulletin 40, 6 (2014), 1244--1253. https://doi.org/10.1093/schbul/sbu033

[5]

Shengjie Bi, Tao Wang, Ellen Davenport, Ronald Peterson, Ryan Halter, Jacob Sorber, and David Kotz. 2017. Toward a Wearable Sensor for Eating Detection. In Proceedings of the 2017 Workshop on Wearable Systems and Applications (WearSys '17). ACM, New York, NY, USA, 17--22. https://doi.org/10.1145/3089351.3089355

Digital Library

[6]

Michael L. Birnbaum, Sindhu Kiranmai Ernala, Asra F. Rizvi, Munmun De Choudhury, and John M. Kane. 2017. A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals. JMIR 19, 8 (2017), e289. https://doi.org/10.2196/jmir.7956

[7]

US Census Bureau. 2018. QuickFacts, Fort Wayne, IN. https://www.census.gov/quickfacts/fortwaynecityindiana

[8]

Stevie Chancellor, Yannis Kalantidis, Jessica A. Pater, Munmun De Choudhury, and David A. Shamma. 2017. Multimodal Classification of Moderated Online Pro-Eating Disorder Content. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3213--3226. https://doi.org/10.1145/3025453.3025985

Digital Library

[9]

Stevie Chancellor, Zhiyuan Lin, Erica L. Goodman, Stephanie Zerwas, and Munmun De Choudhury. 2016. Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1171--1184. https://doi.org/10.1145/2818048.2819973

Digital Library

[10]

Stevie Chancellor, Jessica A. Pater, Trustin Clear, Eric Gilbert, and Munmun De Choudhury. 2016. #Thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1201--1213. https://doi.org/10.1145/2818048.2819963

Digital Library

[11]

Munmun De Choudhury. 2015. Anorexia on Tumblr: A Characterization Study. In Proceedings of the 5th International Conference on Digital Health 2015 (DH '15). ACM, New York, NY, USA, 43--50. https://doi.org/10.1145/2750511.2750515

Digital Library

[12]

Munmun De Choudhury, Scott Counts, Eric J. Horvitz, and Aaron Hoff. 2014. Characterizing and Predicting Postpartum Depression from Shared Facebook Data. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '14). ACM, New York, NY, USA, 626--638. https://doi.org/10.1145/2531602.2531675

Digital Library

[13]

Munmun De Choudhury and Sushovan De. 2014. Mental health discourse on reddit: Self-disclosure, social support, and anonymity. In Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media (ICWSM '14). AAAI, 71--80. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/viewPDFInterstitial/8075/8107

[14]

Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz. 2013. Predicting depression via social media. In Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media (ICWSM '13). AAAI, 128--137. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/viewPDFInterstitial/6124/6351

[15]

Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, and Mirnal Kumar. 2016. Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 2098--2110. https://doi.org/10.1145/2858036.2858207

Digital Library

[16]

danah boyd. 2010. Digital self-harm and other acts of self-harassment. www.zephoria.org

[17]

Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, and Helen Christensen. 2013. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. JMIR 15, 11 (2013), e247. https://doi.org/10.1145/2957276.299628

[18]

Elizbaeth V. Eikey. 2016. Privacy and Weight Loss Apps: A First Look at How Women with Eating Disorders Use Social Features. In Proceedings of the 19th International Conference on Supporting Group Work (GROUP '16). ACM, New York, NY, USA, 413--415. https://doi.org/10.1145/2957276.2996282

Digital Library

[19]

Elizbaeth V. Eikey. 2016. The Use of Weight Loss Apps by Women with Eating Disorders. In Proceedings of the 2016 ACM SIGMIS Conference on Computers and People Research (SIGMIS-CPR '16). ACM, New York, NY, USA, 3--4. https://doi.org/10.1145/2890602.2906187

Digital Library

[20]

Elizabeth V. Eikey and Madhu C. Reddy. 2017. "It's Definitely Been a Journey": A Qualitative Study on How Women with Eating Disorders UseWeight Loss Apps. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 642--654. https://doi.org/10.1145/3025453.3025591

[21]

Kathleen M. Eisenhardt. 1989. Building Theories from Case Study Research. Academy Management Review 14, 4 (1989), 532--550. https://doi.org/10.5465/amr.1989.4308385

[22]

Manfred F. Fichter, Norbert Quadflieg, and Susanne Hedlund. 2006. Twelve year course and outcome predictors of anorexia nervosa. International Journal of Eating Disorders 39, 2 (2006), 87--100. https://doi.org/10.1002/eat.20215

[23]

SAMHSA-HRSA Center for Integrated Health Solutions. https://www.integration.samhsa.gov/clinicalpractice/screening-toolsdrugs. Screening Tools.

[24]

George Gerbner, Larry Gross, Michael Morgan, Nancy Signorielli, and James Shanahan. 2002. Growing up with television: Cultivation processes. In LEA's communication series. Media effects: Advances in theory and research, J. Bryant and D. Zillmann (Eds.). Lawrence Erlbaum Associates Publishers, Mahwah, NJ USA, Chapter 3, 43--67.

[25]

Stefanie T. Greenberg and Eva G. Schoen. 2008. Males and eating disorders: Gender-based therapy for eating disorder recovery. Professional Psychology: Research and Practice 39, 4 (2008), 464--471. https://doi.org/10.1037/0735--7028.39.4.464

[26]

Sharath Chandra Guntuku, David B. Yaden, Margaret L. Kern, Lyle H. Ungar, and Johannes C. Eichstaedt. 2017. Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences 18 (2017), 43--49. https://doi.org/10.1016/j.cobeha.2017.07.005

[27]

Jon Hammermeister, Barbara Brock, David Winterstein, and Randy Page. 2005. Life without TV? cultivation theory and psychosocial health characteristics of television-free individuals and their television-viewing counterparts. Health Communication 17, 3 (2005), 253--264. https://doi.org/10.1207/s15327027hc1703_3

[28]

Ron D. Hays, Cathy Donald Sherbourne, and Rebecca M. Mazel. 1993. The rand 36-item health survey 1.0. Health economics 2, 3 (1993), 217--227. https://doi.org/10.1002/hec.4730020305

[29]

QPR Institute. 2018. Question, Persuade, Refer Training. https://qprinstitute.com

[30]

John E.Ware Jr. and Cathy Donald Sherbourne. 1992. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical care 30, 6 (1992), 473--483.

[31]

Sylvia Kauer, Sophie Reid, Alenxander Crooke, Angela Khor, Stephen John Hearps, Anthony Jormand Lena Sanci, and George Patton. 2012. Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial. JMIR 14, 3 (2012), e67. https://doi.org/10.2196/jmir.1858

[32]

Kurt Kroenke, Robert L. Spitzer, Janet B.W. Williams, and Bernd Lowe. 2009. An ultra-brief screening scale for anxiety and depression: the PHQ--4. Psychosomatics 50, 6 (2009), 613--621. https://doi.org/10.1016/S0033--3182(09)70864--3

[33]

Eric Kuhn, Nitya Kanuri, Julia E Hoffman, Donn W. Garvert, Josef I. Ruzek, and C. Barr Taylor. 2017. A randomized controlled trial of a smartphone app for post-traumatic stress disorder symptoms. Journal of Consulting and Clinical Psychology 85, 3 (2017), 267--273.

[34]

Cliff Lampe, Jessica Vitak, Rebecca Gray, and Nicole Ellison. 2012. Perceptions of Facebook's Value As an Information Source. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 3195--3204. https://doi.org/10.1145/2207676.2208739

Digital Library

[35]

LivingWorks. 2018. Applied Suicide Intervention Skills Training (ASIST). https://www.livingworks.net/asist

[36]

Michael Morgan, James Shanahan, and Nancy Signorielli. 2016. Cultivation Theory. In The International Encyclopedia of Communication Theory and Philosophy. Wiley Online Library. https://doi.org/10.1002/9781118766804.wbiect015

[37]

Rebecca Murphy, Suzanne Straebler, Zafra Cooper, and Christopher Fairburn. 2010. Cognitive Behavioral Therapy for Eating Disorders. Psychiatric Clinics 33, 3 (2010), 611--627. https://doi.org/10.1016/j.psc.2010.04.004

[38]

US Bureau of Labor Statistics. 2019. Midwest Information Office: Fort Wayne. https://www.bls.gov/regions/midwest/in_fortwayne_msa.html

[39]

Justin W. Patchin and Sameer Hinduja. 2017. Digital self-harm among adolescents. Journal of Adolescent Health 61, 6 (2017), 761--766. https://doi.org/10.1016/j.jadohealth.2017.06.012

[40]

Jessica A. Pater, Oliver L. Haimson, Nazanin Andalibi, and Elizabeth D. Mynatt. 2016. "Hunger Hurts but Starving Works": Characterizing the Presentation of Eating Disorders Online. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 1185--1200. https://doi.org/10.1145/2818048.2820030

[41]

Jessica A. Pater, Andrew D. Miller, and Elizabeth D. Mynatt. 2015. This Digital Life: A Neighborhood-Based Study of Adolescents' Lives Online. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 2305--2314. https://doi.org/10.1145/2702123.2702534

[42]

Jessica A. Pater and Elizabeth D. Mynatt. 2017. Defining Digital Self-Harm. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 1501--1513. https://doi.org/10.1145/2998181.2998224

[43]

Jessica A. Pater, Lauren Reining, Andrew D. Miller, Tammy Toscos, and Elizabeth D. Mynatt. 2019. "Notjustgirls": exploring male-related eating disordered content online. In Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, 1--13. https://doi.org/10.1145/3290605.3300881

[44]

Ted Pedersen. 2015. Screening Twitter users for depression and PTSD with lexical decision lists. In Proceedings of the 2nd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality (ClPsych '15). NAACL, 46--53. https://www.aclweb.org/anthology/W15--1206

[45]

James W. Pennebaker, Ryan L. Boyd, Kayla Jordan, and Kate Blackburn. 2015. The Development and Psychometric Properties of LIWC2015. http://hdl.handle.net/2152/31333

[46]

Sophie C. Reid, Sylvia D. Kauer, Stephen J.C. Hearps, Alexander H.D. Crooke, Angela S. Khor, Lena A. Sanci, and George C. Patton. 2011. A mobile phone application for the assessment and management of youth mental health problems in primary care: a randomised controlled trial. BMC Family Practice 12 (2011), 131. https://doi.org/10.1186/ 1471--2296--12--131

[47]

Philip Resnik, William Armstrong, Leonardo Claudino, Thang Nguyen, Viet-An Nguyen, and Jordan Boyd-Garner. 2015. Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality (ClPsych '15). NAACL, 99--107. https://www.aclweb.org/anthology/W15--1212

[48]

Saima Salim. 2019. How much time do you spend on social media? https://www.digitalinformationworld.com/2019/ 01/how-much-time-do-people-spend-social-media-infographic.html

[49]

Charles Schell. 1992. The Value of the Case Study as a Research Strategy. Manchester Business School 2 (1992). http://www.psyking.net/HTMLobj-3844/Value_of_Case_Study_as_a_Research_Strategy.pdf

[50]

Judy Hanwen Shen and Frank Rudzicz. 2017. Detecting anxiety through Reddit. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology -- From Linguistic Signal to Clinical Reality (ClPsych '17). NAACL, 55--65. https://www.aclweb.org/anthology/W17--3107

[51]

Mayo Clinic Staff. [n. d.]. Cognitive behavioral therapy. https://www.mayoclinic.org/tests-procedures/ cognitive-behavioral-therapy/about/pac-20384610

[52]

Eric Stice, Carolyn Black Becker, and Sonja Yokum. 2013. Eating disorder prevention: Current evidence base and future directions. International Journal of Eating Disorders 46, 5 (2013), 478--485. https://doi.org/10.1002/eat.22105

[53]

Andrada Tomoaia-Cotisel, Debra L. Scammon, Norman J. Waitzman, Peter F. Cronholm, Jacqueline R. Halladay, David L. Driscoll, Leif I. Solberg, Clarissa Hsu, Ming Tai-Seale, Vanessa Hiratsuka, Sarah C. Shih, Michael D. Fetters, Christopher G. Wise, Jeffrey A. Alexander, Diane Hauser, Carmit K. McMullen, Sarah Hudson Scholle, Manasi A. Tirodkar, Laura Schmidt, Katrina E. Donahue, Michael L. Parchman, and Kurt C. Strange. 2013. Context matters: the experience of 14 research teams in systematically reporting contextual factors important for practice change. The Annals of Family Medicine 11, Suppl 1 (2013), S115--S123. https://doi.org/10.1370/afm.1549

[54]

Janet Treasure and Gerald Russell. 2011. The case for early intervention in anorexia nervosa: theoretical exploration of maintaining factors. British Journal of Psychiatry 199, 1 (2011), 5--7. https://doi.org/10.1192/bjp.bp.110.087585

[55]

Tao Wang, Markus Brede, Antonella Ianni, and Emmanouil Mentzakis. 2017. Detecting and Characterizing Eating- Disorder Communities on Social Media. In Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. Cambridge, United Kingdom, 91--100. https://doi.org/10.1145/3018661.3018706

Digital Library

[56]

Dejin Zhao and Mary Beth Rosson. 2009. How and Why People Twitter: The Role That Micro-blogging Plays in Informal Communication at Work. In Proceedings of the ACM 2009 International Conference on Supporting Group Work (GROUP '09). ACM, New York, NY, USA, 243--252. https://doi.org/10.1145/1531674.1531710

Digital Library

Cited By

Nova FPfafman RLogan Delaney CPater J(2024)Unveiling the "Toxic" World of #Meanspo: Understanding Users' Emerging Online Eating Disorder Practices in X/TwitterProceedings of the ACM on Human-Computer Interaction10.1145/36870618:CSCW2(1-27)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687061
Chopra SCarroll JPater J(2024)Providing Context to the "Unknown": Patient and Provider Reflections on Connecting Personal Tracking, Patient-Reported Insights, and EHR Data within a Post-COVID ClinicProceedings of the ACM on Human-Computer Interaction10.1145/36869888:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686988
Guluzade LSas C(2024)Functionality and User Review Analysis of Mobile Apps for Mindfulness Eating and Eating DisordersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661521(1350-1371)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661521
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Index Terms

Exploring Indicators of Digital Self-Harm with Eating Disorder Patients: A Case Study
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 3, Issue CSCW

November 2019

5026 pages

EISSN:2573-0142

DOI:10.1145/3371885

Editors:
Airi Lampinen
Stockholm University, Sweden
,
Darren Gergle
Northwestern University, USA
,
David A. Shamma
FXPAL, USA

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Published: 07 November 2019

Published in PACMHCI Volume 3, Issue CSCW

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https://dl.acm.org/doi/10.1145/3687061
Chopra SCarroll JPater J(2024)Providing Context to the "Unknown": Patient and Provider Reflections on Connecting Personal Tracking, Patient-Reported Insights, and EHR Data within a Post-COVID ClinicProceedings of the ACM on Human-Computer Interaction10.1145/36869888:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686988
Guluzade LSas C(2024)Functionality and User Review Analysis of Mobile Apps for Mindfulness Eating and Eating DisordersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661521(1350-1371)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661521
Pater JChopra SCarroll JZaccour JNova FToscos TGuha SChang F(2024)Charting the COVID Long Haul Experience - A Longitudinal Exploration of Symptoms, Activity, and Clinical AdherenceProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642827(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642827
Domínguez Hernández ARamokapane KDas Chowdhury PMichalec OJohnstone EGodwin ECork ARashid A(2023)Co-creating a Transdisciplinary Map of Technology-mediated Harms, Risks and Vulnerabilities: Challenges, Ambivalences and OpportunitiesProceedings of the ACM on Human-Computer Interaction10.1145/36101797:CSCW2(1-21)Online publication date: 4-Oct-2023
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Pater JCoupe ANova FPfafman RCarroll JBrouwer ABohn CLi JTodd NChang FGuha S(2023)Social Media is not a Health Proxy: Differences Between Social Media and Electronic Health Record Reports of Post-COVID SymptomsProceedings of the ACM on Human-Computer Interaction10.1145/35796247:CSCW1(1-25)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579624
Yoo DBhatnagar AErnala SAli ABirnbaum MAbowd GDe Choudhury M(2023)Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy ImplicationsProceedings of the ACM on Human-Computer Interaction10.1145/35794797:CSCW1(1-24)Online publication date: 16-Apr-2023
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Schaadhardt AFu YPratt CPratt W(2023)“Laughing so I don’t cry”: How TikTok users employ humor and compassion to connect around psychiatric hospitalizationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581559(1-13)Online publication date: 19-Apr-2023
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Feuston JDeVito MScheuerman MWeathington KBenitez MPerez BSondheim LBrubaker J(2022)"Do You Ladies Relate?": Experiences of Gender Diverse People in Online Eating Disorder CommunitiesProceedings of the ACM on Human-Computer Interaction10.1145/35551456:CSCW2(1-32)Online publication date: 11-Nov-2022
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