La Trobe

Recruiting stigmatised populations and managing negative commentary via social media: a case study of recruiting older LGBTI research participants in Australia

Download (485.83 kB)
journal contribution
posted on 2021-05-27, 07:48 authored by Andrea WalingAndrea Waling, Anthony LyonsAnthony Lyons, Beatrice AlbaBeatrice Alba, Victor Minichiello, Catherine Barrett, M Hughes, K Fredriksen-Goldsen
In this paper we explore methodological considerations for recruiting stigmatised populations online. Advertising for research participants via social networking sites (SNS) has increasingly become a tool of choice for both quantitative and qualitative researchers. However, such recruitment practices pose a range of challenges for researchers, especially in handling negative commentary such as trolling and its potential negative impact on prospective research participants. Using a case study involving a project on the health and well-being of older lesbian, gay, bisexual, transgender and intersex (LGBTI) people in Australia, we outline the types of commentary we received on our advertising campaign, as well as our strategies for managing such commentary. We seek to offer ways in which researchers working with stigmatised populations, as well as controversial issues that may attract hostile attention, can effectively manage participant recruitment as researchers increasingly utilise online technologies for recruitment advertising.

Funding

This research was funded by the Australian Research Council under grant number [LP160100221].

History

Publication Date

2022-04-01

Journal

International Journal of Social Research Methodology

Volume

25

Issue

2

Pagination

14p. (p.157-170)

Publisher

Taylor & Francis

ISSN

1364-5579

Rights Statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Sexuality Research and Social Policy on 16 December 2021, available at: https://doi.org/10.1080/13645579.2020.1863545 It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Usage metrics

    Journal Articles

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC