Conference Paper/Proceeding/Abstract 585 views 42 downloads
Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
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Fernando Maestre Avila ,
Abhishek Roy ,
Rebecca Umbach ,
Stevie Chancellor
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, Volume: 184, Pages: 1 - 16
Swansea University Author:
Fernando Maestre Avila
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DOI (Published version): 10.1145/3613904.3641894
Abstract
Information is crucial to how people understand their mental health and well-being, and many turn to online sources found through search engines and social media. We present an interview study (n = 17) of participants who use online platforms to seek information about their mental illnesses. Partici...
| Published in: | CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems |
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| ISBN: | 979-8-4007-0330-0 979-8-4007-0330-0 |
| Published: |
New York, NY, USA
(ACM), Association for Computing Machinery
2024
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67656 |
| Abstract: |
Information is crucial to how people understand their mental health and well-being, and many turn to online sources found through search engines and social media. We present an interview study (n = 17) of participants who use online platforms to seek information about their mental illnesses. Participants use their personal information ecosystems in a cyclical process to find information. This cycle is driven by the adoption of new information and questioning the credibility of information. Privacy concerns fueled by perceptions of stigma and platform design also influence their information-seeking decisions. Our work proposes theoretical implications for social computing and information retrieval on information seeking in users’ personal information ecosystems. We offer design implications to support users in navigating personal information ecosystems to find mental health information. |
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| Keywords: |
Information seeking, mental health, social media |
| College: |
Faculty of Science and Engineering |
| Funders: |
Northwestern Center for Advancing the Safety of Machine Intelligence (CASM), Google |
| Start Page: |
1 |
| End Page: |
16 |