Abstract
Social media platforms can be used to provide effective support for users with mental health issues. Self-disclosure about mental health on these platforms can lead to social support and community building. However, there are also inherent risks of stigmatization and misuse of platform features for maladaptive purposes, such as to promote eating disorders. To address these issues, it is essential to understand the reasoning and mechanisms of self-disclosure regarding mental health issues. However, this can be quite challenging, given the flexibility and complexity of user interactions on these platforms. For example, users can now share content not only privately or publicly, but also permanently or temporarily. Our initial inquiry with Instagram showed a tendency to co-opt mental health hashtags to increase post popularity. Based on our initial findings, we propose a participatory design study to better understand the motivations and challenges faced by users who disclose mental health issues on Instagram. Findings from this work can guide future designs to improve user experience and provide effective social support.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018 |
| Editors | Noga Minsky, Venet Osmani |
| Publisher | Association for Computing Machinery |
| ISBN (Print) | 9781450364508 |
| DOIs | |
| State | Published - 2018 |
| Event | 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 - New York, United States Duration: May 21 2018 → May 24 2018 |
Publication series
| Name | PervasiveHealth: Pervasive Computing Technologies for Healthcare |
|---|---|
| ISSN (Print) | 2153-1633 |
Other
| Other | 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 |
|---|---|
| Country/Territory | United States |
| City | New York |
| Period | 5/21/18 → 5/24/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Computer Science Applications
- Health Informatics
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