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Privacy and Weight Loss Apps: A First Look at How Women with Eating Disorders Use Social Features

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Association for Computing Machinery

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Women with eating disorders benefit from using social and community features of apps because they can get social support and information about their disorder. Although seeking help online may be easier than getting face-to-face treatment, there still may be a number of privacy concerns to sharing information, especially on apps not specifically intended for those with eating disorders, such as weight loss apps. Women with eating disorders are using weight loss apps, but are they using features that could help them get support for their disorder? This research begins to answer this question by presenting preliminary results from a qualitative study on how women with eating disorders use community and social features of weight loss apps. Early findings suggest women with eating disorders rarely use the community and social features of weight loss apps. This work highlights the tradeoffs between sharing information and privacy and has implications for app design.

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Eikey, Elizabeth V. (2016): Privacy and Weight Loss Apps: A First Look at How Women with Eating Disorders Use Social Features. Proceedings of the 2016 ACM International Conference on Supporting Group Work. DOI: 10.1145/2957276.2996282. Association for Computing Machinery. pp. 413–415. Sanibel Island, Florida, USA

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mobile technology, stigma, eating disorders, social computing, privacy, weight loss apps

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Number of citations to item: 8

  • Elizabeth V. Eikey, Yunan Chen, Kai Zheng (2019): Do Recovery Apps Even Exist?: Why College Women with Eating Disorders Use (But Not Recommend) Diet and Fitness Apps Over Recovery Apps, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-15742-5_69
  • Jessica L. Feuston, Alex S. Taylor, Anne Marie Piper (2020): Conformity of Eating Disorders through Content Moderation, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(4), doi:10.1145/3392845
  • Elizabeth Victoria Eikey, Madhu C Reddy, Kayla M Booth, Lynette Kvasny, Johnna L Blair, Victor Li, Erika S Poole (2017): Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors, In: JMIR mHealth and uHealth 10(5), doi:10.2196/mhealth.6683
  • Jessica A. Pater, Brooke Farrington, Alycia Brown, Lauren E. Reining, Tammy Toscos, Elizabeth D. Mynatt (2019): Exploring Indicators of Digital Self-Harm with Eating Disorder Patients, In: Proceedings of the ACM on Human-Computer Interaction CSCW(3), doi:10.1145/3359186
  • Dong Whi Yoo, Aditi Bhatnagar, Sindhu Kiranmai Ernala, Asra Ali, Michael L. Birnbaum, Gregory D. Abowd, Munmun De Choudhury (2023): Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy Implications, In: Proceedings of the ACM on Human-Computer Interaction CSCW1(7), doi:10.1145/3579479
  • Zhenhui Peng, Xiaojuan Ma, Diyi Yang, Ka Wing Tsang, Qingyu Guo (2021): Effects of Support-Seekers’ Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health Communities, In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3411764.3445446
  • Anjali Devakumar, Jay Modh, Bahador Saket, Eric P. S. Baumer, Munmun De Choudhury (2021): A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps, In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3411764.3445670
  • Jessica L. Feuston, Michael Ann DeVito, Morgan Klaus Scheuerman, Katy Weathington, Marianna Benitez, Bianca Z. Perez, Lucy Sondheim, Jed R. Brubaker (2022): "Do You Ladies Relate?": Experiences of Gender Diverse People in Online Eating Disorder Communities, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(6), doi:10.1145/3555145
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