Cited by 64Digital Economy and Work TransformationGender, Feminism, and MediaMedia and Digital Communication

“Becoming an expert in driving for Uber”: Uber driver/bloggers’ performance of expertise and self-presentation on YouTube

Chan, Ngai Keung·2019·New Media & Society

Abstract

There is a new cast of self-proclaimed experts offering “how-to-succeed” resources aimed at coaching and inspiring gig workers. The emergence of such resources raises questions about the performance of expertise regarding the workings of algorithmic labor platforms. This article examines how Uber driver/bloggers—workers who are driving for Uber, while also creating Uber-related video content—perform expertise in driving for Uber on YouTube. I conducted in-depth interviews with 11 driver/bloggers and a qualitative analysis of the textual and video content published by driver/bloggers. Through the data, I show how driver/bloggers’ empowerment narratives became intertwined with their individualistic aspirations to develop dual careers as Uber drivers and YouTubers. Driver/bloggers employed three self-presentation strategies to perform expertise, including the construction of uniqueness and “know-how,” realness, and relatability with audiences. The study concludes with implications for our collective understandings of gig workers, expertise, and online curation across a wider platform ecology.

Integrity signals

Registry

Crossref · 10.1177/1461444819837736

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The rating system serves as an engine of anxiety that shapes workers' ongoing work practices.

    “As such, the rating system serves as an engine of anxiety that shapes workers' ongoing work practices (Chan, 2019;Espeland et al., 2016).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chan, N. K.
Affiliations
Cornell University (US)
Corresponding author
Chan, Ngai Keung
Venue
New Media & Society
Published
2019-04
Volume
21
Issue
9
Pages
2048-2067
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2926114267
Cited by
64
References
2
Citations by year
2026: 3 · 2025: 6 · 2024: 8 · 2023: 11 · 2022: 17 · 2021: 12 · 2020: 5 · 2019: 2
FWCI
16.97
Type
journal article
Language
en
Open access
closed
Locations
New Media & Society (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
  • Social Sciences › Gender Studies › Gender, Feminism, and Media
  • Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
Keywords
Uber drivers, YouTube, self-presentation, gig work, empowerment narratives, dual career, know-how, relatability, platform ecology

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review