Conducting research with stigmatized populations: Practices, challenges, and lessons learned

Juan F. Maestre, Elizabeth V. Eikey, Mark Warner, Svetlana Yarosh, Jessica Pater, Maia Jacobs, Gabriela Marcu, Patrick C. Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Conducting research with communities who are at risk of being stigmatized can be a challenging endeavor. It is often difficult to reach and recruit individuals for research purposes regarding a stigmatized condition or situation. Yet, researchers in our field have recognized the importance of work in this area and have individually developed a range of strategies to reach, recruit, and work with these populations. This workshop will invite researchers and practitioners to present, discuss, and compare strategies and experiences when working with stigmatized communities in the context of the ever-evolving nature of technology. The outcomes of the workshop will include an outline for an article that will summarize the strategies and practices discussed as well as identify the approaches that have led to the best outcomes across different populations.

Original languageEnglish (US)
Title of host publicationCSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages385-392
Number of pages8
ISBN (Electronic)9781450360180
DOIs
StatePublished - Oct 30 2018
Event21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States
Duration: Nov 3 2018Nov 7 2018

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018
Country/TerritoryUnited States
CityJersey City
Period11/3/1811/7/18

Bibliographical note

Publisher Copyright:
© Copyright held by the owner/author(s).

Keywords

  • Research with stigmatized populations
  • Stigma
  • Stigmatized populations

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