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Patterns of support in an online community for smoking cessation

Authors:

Bernd Ploderer,

Ron BorlandAuthors Info & Claims

C&T '13: Proceedings of the 6th International Conference on Communities and Technologies

Pages 26 - 35

https://doi.org/10.1145/2482991.2482992

Published: 29 June 2013 Publication History

Abstract

Social support offers various benefits for health and behaviour change. However, previous work has shown that individuals are typically reluctant to ask for support on social network sites, unless they can present a changed, healthier identity. To examine the relationship between stage of change and social support we conducted a thematic analysis of messages posted in a public Facebook support group for people trying to quit smoking. Our findings show that the kind of support exchanged online is related to participants' stage of change. Contrary to our expectations, supportive responses and leadership in the support group came mainly from users who just started their change process rather than people who had already changed. We discuss contributions to theories of online participation and impression management as well as implications for practitioners who seek to establish support groups.

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Cited By

Gatos DGünay AKırlangıç GKuscu KYantac A(2021)How HCI Bridges Health and Design in Online Health Communities: A Systematic ReviewProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462100(970-983)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462100
Yao ZYang DLevine JLow CSmith TZhu HKraut R(2021)Join, Stay or Go?Proceedings of the ACM on Human-Computer Interaction10.1145/34492455:CSCW1(1-22)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449245
Sinicrope PKoller KProchaska JHughes CBock MDecker PFlanagan CMerritt ZMeade CWilletto AResnicow KThomas TPatten C(2019)Social Media Intervention to Promote Smoking Treatment Utilization and Cessation Among Alaska Native People Who Smoke: Protocol for the Connecting Alaska Native People to Quit Smoking (CAN Quit) Pilot StudyJMIR Research Protocols10.2196/151558:11(e15155)Online publication date: 22-Nov-2019
https://doi.org/10.2196/15155
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Index Terms

Patterns of support in an online community for smoking cessation
1. Human-centered computing
  1. Collaborative and social computing

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Published In

cover image ACM Other conferences

C&T '13: Proceedings of the 6th International Conference on Communities and Technologies

June 2013

165 pages

ISBN:9781450321044

DOI:10.1145/2482991

Program Chairs:
Wolfgang Prinz
Fraunhofer FIT, RWTH Aachen
,
Christine Satchell
QUT, Brisbane; University of Melbourne

Copyright © 2013 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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ITIS: ITIS e.V.
EUSSET: European Society for Socially Embedded Technologies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2013

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C&T '13

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ITIS
EUSSET

C&T '13: International Conference on Communities and Technologies 2013

June 29 - July 2, 2013

Munich, Germany

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C&T '13 Paper Acceptance Rate 17 of 58 submissions, 29%;

Overall Acceptance Rate 80 of 183 submissions, 44%

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Cited By

Gatos DGünay AKırlangıç GKuscu KYantac A(2021)How HCI Bridges Health and Design in Online Health Communities: A Systematic ReviewProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462100(970-983)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462100
Yao ZYang DLevine JLow CSmith TZhu HKraut R(2021)Join, Stay or Go?Proceedings of the ACM on Human-Computer Interaction10.1145/34492455:CSCW1(1-22)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449245
Sinicrope PKoller KProchaska JHughes CBock MDecker PFlanagan CMerritt ZMeade CWilletto AResnicow KThomas TPatten C(2019)Social Media Intervention to Promote Smoking Treatment Utilization and Cessation Among Alaska Native People Who Smoke: Protocol for the Connecting Alaska Native People to Quit Smoking (CAN Quit) Pilot StudyJMIR Research Protocols10.2196/151558:11(e15155)Online publication date: 22-Nov-2019
https://doi.org/10.2196/15155
Doran DMassari LCalzarossa MLi YTessera DZhang J(2019)User interactions and behaviors in a large-scale online emotional support serviceSocial Network Analysis and Mining10.1007/s13278-019-0581-y9:1Online publication date: 19-Jul-2019
https://doi.org/10.1007/s13278-019-0581-y
van Mierlo TLi XHyatt DChing A(2017)Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support GroupsJournal of Medical Internet Research10.2196/jmir.633019:2(e40)Online publication date: 17-Feb-2017
https://doi.org/10.2196/jmir.6330
Johri AYang SSchuler DLewkowicz MRohde MMulder I(2017)Scaffolded Help for LearningProceedings of the 8th International Conference on Communities and Technologies10.1145/3083671.3083694(149-158)Online publication date: 26-Jun-2017
https://dl.acm.org/doi/10.1145/3083671.3083694
Hartzler ABlueSpruce JCatz SMcClure J(2016)Prioritizing the mHealth Design Space: A Mixed-Methods Analysis of Smokers’ PerspectivesJMIR mHealth and uHealth10.2196/mhealth.57424:3(e95)Online publication date: 5-Aug-2016
https://doi.org/10.2196/mhealth.5742
Calzarossa MMassari LDoran DYelne STrivedi NMoriarty G(2016)Measuring the users and conversations of a vibrant online emotional support system2016 IEEE Symposium on Computers and Communication (ISCC)10.1109/ISCC.2016.7543898(1193-1199)Online publication date: Jun-2016
https://doi.org/10.1109/ISCC.2016.7543898
van Mierlo THyatt DChing A(2016)Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social NetworksNetwork Modeling Analysis in Health Informatics and Bioinformatics10.1007/s13721-016-0140-75:1Online publication date: 27-Oct-2016
https://doi.org/10.1007/s13721-016-0140-7
Balatsoukas PKennedy CBuchan IPowell JAinsworth J(2015)The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention EffectivenessJournal of Medical Internet Research10.2196/jmir.366217:6(e141)Online publication date: 11-Jun-2015
https://doi.org/10.2196/jmir.3662
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