Anxiety, panic and self-optimization: Inequalities and the YouTube algorithm
Abstract
This article will look to YouTube’s algorithm to assess how such forms of mechanical decision-making can create a discriminatory visibility hierarchy of vloggers, favouring middle class social actors who make highly gendered content aligned with advertisers’ demands and needs. I have selected entrepreneurial beauty vloggers as a case study for this article; beauty vlogging is defined as the demonstration and discussion of cosmetic use, often from a vIoggers’ own bedroom (Banet Weiser, 2017; Nathanson, 2014). This is a deeply entrenched genre on the site; beauty vlogging is a full-time job for some successful participants, and a source of pocket money for many more. Moreover, beauty vlogging is an effective illustration of how the YouTube algorithm causes the polarization of identity markers such as gender. Indeed, for female participants, I hypothesize that YouTube actively promotes hegemonic, feminized cultural outputs, created by beauty vloggers with significant embodied social and cultural capital. That is to say, for women on YouTube, the algorithm privileges and rewards feminized content deeply entwined with consumption, beauty, fashion, baking, friendships and boyfriends in the vein of the historical bedroom culture of the teenage magazine. A secondary hypothesis is that beauty vloggers’ own understandings of YouTube’s algorithmic processes are learned and embodied within their own practices, influencing modes of self-presentation, tone of voice, choice of content cover…
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Algorithms supply the core justification for platforms' datafication and commoditization.
“The essential rationale allowing the platforms to implement datafication and commoditization, is provided by algorithms (Bishop, 2018;Cunningham and Craig, 2019b).”
From ‘Traffic rewards’, ‘algorithmic visibility’, and ‘advertiser satisfaction’: How Chinese short-video platforms cultivate creators in stages (2024) · cites this paper as Bishop, 2018
Cites
Gillespie, T. (2010) · New Media & Society · doi:10.1177/1461444809342738 · Cited by 2,522 · cited 1× · see citing works
“Indeed, the term ‘platform’ is often mobilized in tandem with emancipatory terminology, for example ‘empowering’ and ‘open’ (Gillespie, 2010: 357).”
BackgroundA New Algorithmic Identity: Soft Biopolitics and the Modulation of Control
Cheney-Lippold, J. (2011) · Theory, Culture & Society · doi:10.1177/0263276411424420 · Cited by 684 · see citing works
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Towards transparency by design for artificial intelligence
Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00276-4 · Cited by 588 · see citing works
Managing visibility on YouTube through algorithmic gossip
Bishop, S. (2019) · New Media & Society · doi:10.1177/1461444819854731 · Cited by 535 · see citing works
Self-citationCotter, K. (2023) · Information, Communication & Society · doi:10.1080/1369118x.2021.1994624 · Cited by 149 · see citing works
Huang, Y., & Ye, W. (2024) · Convergence: The International Journal of Research into New Media Technologies · doi:10.1177/13548565231211117 · Cited by 37 · see citing works
“Creator burnout is real”: Risk, responsibility, and un/speakability in the creator economy
Nguyen, R., & Duffy, B. E. (2026) · New Media & Society · doi:10.1177/14614448261459667 · Cited by 1 · see citing works
- Authors
- Bishop, S.
- Affiliations
- University of East London (GB)
- Corresponding author
- Bishop, Sophie
- ORCID
- Bishop, Sophie
- Venue
- Convergence: The International Journal of Research into New Media Technologies
- Publisher
- SAGE Publications
- Published
- 2018-01-10
- Volume
- 24
- Issue
- 1
- Pages
- 69-84
- ISSN
- 1354-8565 (ISSN-L)
- 1748-7382
- OpenAlex
- W2784259015
- Cited by
- 253
- References
- 2
- Citations by year
- 2026: 38 · 2025: 41 · 2024: 32 · 2023: 39 · 2022: 41 · 2021: 25 · 2020: 19 · 2019: 16 · 2018: 2
- FWCI
- 28.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Convergence The International Journal of Research into New Media Technologies (publishedVersion)
- Topics
- Social Sciences › Gender Studies › Gender, Feminism, and Media
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- YouTube algorithm, vloggers, algorithmic discrimination, middle class, self-presentation, self-optimization, social media entrepreneurship, algorithmic sovereignty
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