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Managing unwanted visibility

How transnational Korean women content creators experience and manage harmful algorithmic visibility on global social media

Bibliographic Data

ID20508917
AuthorsJeehyun Jenny Lee (0000-0001-9980-2836, University of Illinois Chicago, corresponding author)
Year2025
Volume28
Issue13
Pages2396-2412
Publication date2025-10-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInformation Communication & Society (JOURNAL)
Journal identifiersISSN: 1369-118X • E-ISSN: 1468-4462
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1369118x.2025.2518586
OpenAlexW4411532644
LanguageEN
Citations received2
References cited40

In the creator economy, algorithmic visibility is widely regarded as an ideal and crucial for content creators’ success. In this context, many studies have focused on social media content creators’ algorithmic labor to optimize and maintain algorithmic visibility. Drawing on in-depth interviews with transnational Korean women content creators whose visibility greatly depends on their ethnic, racial, and cultural identity, this study shifts the focus from the creators’ experiences with desirable algorithmic visibility to their experiences with unwanted algorithmic visibility, mainly their exposure to racist and fetishizing global audiences. The creators’ experiences illustrate how the value of algorithmic visibility greatly depends on who the content creators are exposed to and entails visibility contextualizing strategies, rather than visibility maximizing strategies, to build meaningful engagement on global social media. Through these findings, this study advances an intersectional and transnational lens to understand algorithmic visibility and labor, attending to the politics of algorithmic visibility beyond how much visibility the creators can attain to whom and in what ways they are made visible on global social media platforms

Advertising · Business · Geography · Internet privacy · Media studies · Political science · Public relations · Social media · Sociology · Visibility · World Wide Web · Asian Culture and Media Studies · Computer Science · Digital Marketing and Social Media · Gender, Feminism, and Media

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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