Cited by 44LGBTQ Health, Identity, and PolicyGender, Feminism, and MediaMedia Influence and Health

“It’s like a safe haven fantasy world”: Online fandom communities and the identity development activities of sexual and gender minority youth.

McInroy, Lauren B., Craig, Shelley L.·2020·Psychology of Popular Media

Integrity signals

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Crossref · 10.1037/ppm0000234

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  • In a recent study of fandom communities, sexual and gender minority youth reported that web-based communities contribute to their identity development by providing a safe and anonymous space, as well as offering validation and normalization.

    “In a recent study of fandom communities, sexual and gender minority youth reported that web-based communities contribute to their identity development by providing a safe and anonymous space, as well as offering validation and normalization [26].”

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Authors
McInroy, L. B., & Craig, S. L.
Venue
Psychology of Popular Media
Published
2020-04
Volume
9
Issue
2
Pages
236-246
ISSN
  • 2689-6567 (ISSN-L)
  • 2689-6575
OpenAlex
W2921182866
Cited by
44
References
0
Citations by year
2026: 7 · 2025: 5 · 2024: 11 · 2023: 6 · 2022: 7 · 2021: 4 · 2020: 2 · 2019: 2
FWCI
4.72
Type
journal article
Language
en
Open access
closed
Locations
Psychology of Popular Media (publishedVersion)
Funders
Social Sciences and Humanities Research Council of Canada (475-2015-0780)
Topics
  • Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
  • Social Sciences › Gender Studies › Gender, Feminism, and Media
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
Keywords
sexual and gender minority youth, identity construction, LGBTQ youth, fandom, online communities

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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