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Conference Paper/Proceeding/Abstract 585 views 42 downloads

Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information

Ashlee Milton Orcid Logo, Fernando Maestre Avila Orcid Logo, Abhishek Roy Orcid Logo, Rebecca Umbach Orcid Logo, Stevie Chancellor Orcid Logo

CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, Volume: 184, Pages: 1 - 16

Swansea University Author: Fernando Maestre Avila Orcid Logo

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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...

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Published in: CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems
ISBN: 979-8-4007-0330-0 979-8-4007-0330-0
Published: New York, NY, USA (ACM), Association for Computing Machinery 2024
URI: https://cronfa.swan.ac.uk/Record/cronfa67656
first_indexed 2024-09-11T18:04:16Z
last_indexed 2025-07-04T06:36:58Z
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spelling 2025-07-03T11:32:17.5289772 v2 67656 2024-09-11 Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information 43d98107a270a6fedc198bffeb80ac5b 0000-0002-5403-9387 Fernando Maestre Avila Fernando Maestre Avila true false 2024-09-11 MACS 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. Conference Paper/Proceeding/Abstract CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems 184 1 16 (ACM), Association for Computing Machinery New York, NY, USA 979-8-4007-0330-0 979-8-4007-0330-0 Information seeking, mental health, social media 11 5 2024 2024-05-11 10.1145/3613904.3641894 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Another institution paid the OA fee Northwestern Center for Advancing the Safety of Machine Intelligence (CASM), Google 2025-07-03T11:32:17.5289772 2024-09-11T18:56:24.2225223 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ashlee Milton 0000-0002-0320-6122 1 Fernando Maestre Avila 0000-0002-5403-9387 2 Abhishek Roy 0009-0001-5865-8740 3 Rebecca Umbach 0000-0002-4463-1096 4 Stevie Chancellor 0000-0003-0620-0903 5 67656__31295__0772c9a9a87249e7a0e9c44002fe8d14.pdf Seeking in Cycles.pdf 2024-09-11T18:59:47.9117065 Output 814648 application/pdf Version of Record true Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for proft or commercial advantage and that copies bear this notice and the full citation on the frst page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). CHI ’24, May 11–16, 2024, Honolulu, HI, USA © 2024 Copyright held by the owner/author(s). true eng
title Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
spellingShingle Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
Fernando Maestre Avila
title_short Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
title_full Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
title_fullStr Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
title_full_unstemmed Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
title_sort Seeking in Cycles: How Users Leverage Personal Information Ecosystems to Find Mental Health Information
author_id_str_mv 43d98107a270a6fedc198bffeb80ac5b
author_id_fullname_str_mv 43d98107a270a6fedc198bffeb80ac5b_***_Fernando Maestre Avila
author Fernando Maestre Avila
author2 Ashlee Milton
Fernando Maestre Avila
Abhishek Roy
Rebecca Umbach
Stevie Chancellor
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publisher (ACM), Association for Computing Machinery
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department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description 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.
published_date 2024-05-11T05:23:22Z
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