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Facebook for Support versus Facebook for Research: The Case of Miscarriage

Published:02 May 2019Publication History

ABSTRACT

Researchers use Asynchronous Remote Communities (ARC) to reach out to target populations who may find it hard to meet in person, or make time for telephone interviews. So far, ARC studies have been conducted using closed and secure groups on Facebook, because most participants are active members of this social network. However, it is not clear how participants' Facebook usage might affect their engagement with an ARC study. In this paper, we report a secondary analysis of a recent ARC study of women who had experienced at least one miscarriage that focused on their information and social support needs. We find participants tend to be comfortable with seeking emotional support on Facebook, and even those who say they rarely post to Facebook engage with most group activities. We discuss implications for choosing platforms for ARC studies.

References

  1. Nazanin Andalibi and Andrea Forte. 2018. Announcing Pregnancy Loss on Facebook: A Decision-Making Framework for Stigmatized Disclosures on Identified Social Network Sites. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2018) March (2018). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Clare Bellhouse, Meredith J Temple-smith, and Jade E Bilardi. 2018. "It ' s just one of those things people don 't seem to talk about ... " women ' s experiences of social support following miscarriage : a qualitative study. (2018), 1--9.Google ScholarGoogle Scholar
  3. K. Cassie Kresnye, Juan F. Maestre, Ben Jelen, Mona Y. Alqassim, Maria K. Wolters, and Katie A. Siek. 2019. Lessons Learned from Conducting Group-Based Research on Facebook. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19.Google ScholarGoogle Scholar
  4. Haley MacLeod, Ben Jelen, Annu Prabhakar, Lora Oehlberg, Katie Siek, and Kay Connelly. 2017. A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations. EAI Endorsed Transactions on Pervasive Health and Technology 3 (07 2017), 152898.Google ScholarGoogle Scholar
  5. Juan F Maestre, Haley Macleod, Ciabhan L Connelly, Julia C Dunbar, Jordan Beck, Katie A Siek, and Patrick C Shih. 2018. Defining Through Expansion : Conducting Asynchronous Remote Communities ( ARC ) Research with Stigmatized Groups. (2018). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Annu Sible Prabhakar, Lucia Guerra-Reyes, Vanessa M. Kleinschmidt, Ben Jelen, Haley MacLeod, Kay Connelly, and Katie A. Siek. 2017. Investigating the Suitability of the Asynchronous, Remote, Community-based Method for Pregnant and New Mothers. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17 (2017), 4924--4934. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Facebook for Support versus Facebook for Research: The Case of Miscarriage

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      • Published in

        cover image ACM Conferences
        CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
        May 2019
        3673 pages
        ISBN:9781450359719
        DOI:10.1145/3290607

        Copyright © 2019 Owner/Author

        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 profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 May 2019

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        Overall Acceptance Rate6,164of23,696submissions,26%

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