research-article

Supporting Constructive Mental Health Discourse in Social Media

Authors:

Saeed AbdullahAuthors Info & Claims

PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 299 - 303

https://doi.org/10.1145/3240925.3240930

Published: 21 May 2018 Publication History

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.

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Cited By

Zhang LLiu DLi JWan CLiu X(2024)Exploring linguistic features and user engagement in Chinese online mental health counselingHeliyon10.1016/j.heliyon.2024.e38042(e38042)Online publication date: Sep-2024
https://doi.org/10.1016/j.heliyon.2024.e38042
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
Blair JMukherjee DSaunders EAbdullah S(2023)Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar DisorderProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581563(1-12)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581563
Show More Cited By

Index Terms

Supporting Constructive Mental Health Discourse in Social Media
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
      1. Social networking sites

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PervasiveHealth '18: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2018

413 pages

ISBN:9781450364508

DOI:10.1145/3240925

General Chairs:
Noga Minsky
Mount Sinai Health System
,
Venet Osmani
Fondazione Bruno Kessler

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2018

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PervasiveHealth '18

PervasiveHealth '18: 12th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 21 - 24, 2018

NY, New York, USA

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Cited By

Zhang LLiu DLi JWan CLiu X(2024)Exploring linguistic features and user engagement in Chinese online mental health counselingHeliyon10.1016/j.heliyon.2024.e38042(e38042)Online publication date: Sep-2024
https://doi.org/10.1016/j.heliyon.2024.e38042
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
Blair JMukherjee DSaunders EAbdullah S(2023)Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar DisorderProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581563(1-12)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581563
Milton AAjmani LDeVito MChancellor S(2023)“I See Me Here”: Mental Health Content, Community, and Algorithmic Curation on TikTokProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581489(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581489
Zani ANorman AGhani N(2022)Motivating Factors to Self-Disclosure on Social Media: A Systematic MappingIEEE Transactions on Professional Communication10.1109/TPC.2022.318442865:3(370-391)Online publication date: Sep-2022
https://doi.org/10.1109/TPC.2022.3184428
Jose KThomas SKumar PSyama S(2022)Post-millennials: Psychosocial Characteristics, Determinants of Health and Well-Being, Preventive and Promotive StrategiesHandbook of Health and Well-Being10.1007/978-981-16-8263-6_11(257-275)Online publication date: 8-Mar-2022
https://doi.org/10.1007/978-981-16-8263-6_11
Chen XGenc Y(2022)A Systematic Review of Artificial Intelligence and Mental Health in the Context of Social MediaArtificial Intelligence in HCI10.1007/978-3-031-05643-7_23(353-368)Online publication date: 15-May-2022
https://doi.org/10.1007/978-3-031-05643-7_23
Peng ZMa XYang DTsang KGuo QKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Effects of Support-Seekers’ Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health CommunitiesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445446(1-12)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445446
Blair JHsu CQiu LHuang SHuang TAbdullah S(2021)Using Tweets to Assess Mental Well-being of Essential Workers During the COVID-19 PandemicExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451612(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451612
Feuston JPiper ABrewster SFitzpatrick GCox AKostakos V(2019)Everyday ExperiencesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300495(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300495

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