Cited by 798Mobile Crowdsensing and CrowdsourcingEthics and Social Impacts of AIDigital Economy and Work Transformation

Turkopticon: interrupting worker invisibility in amazon mechanical turk

Irani, Lilly C., Silberman, M. Six·2013·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

As HCI researchers have explored the possibilities of human computation, they have paid less attention to ethics and values of crowdwork. This paper offers an analysis of Amazon Mechanical Turk, a popular human computation system, as a site of technically mediated worker-employer relations. We argue that human computation currently relies on worker invisibility. We then present Turkopticon, an activist system that allows workers to publicize and evaluate their relationships with employers. As a common infrastructure, Turkopticon also enables workers to engage one another in mutual aid. We conclude by discussing the potentials and challenges of sustaining activist technologies that intervene in large, existing socio-technical systems.

Integrity signals

Registry

Crossref · 10.1145/2470654.2470742

Cites

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?

  • Turkopticon was originally created as an activist tool for MTurk workers to evaluate their employers and later transformed into a worker-run advocacy group providing resources and infrastructure for MTurk worker communities.

    “Turkopticon is a notable example [69], which was originally created as an activist tool for MTurk workers to evaluate their employers, and has later transformed into a worker-run advocacy group that provides vital resources and infrastructure for MTurk worker communities.”

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 46 · Cited by 798

Authors
Irani, L. C., & Silberman, M. S.
Affiliations
  • University of California, Irvine (US)
  • Bureau of Economic Interpretation, Berkeley, CA, USA
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2013-04-27
Pages
611-620
OpenAlex
W2147603330
Cited by
798
References
46
Citations by year
2026: 49 · 2025: 62 · 2024: 57 · 2023: 81 · 2022: 94 · 2021: 88 · 2020: 68 · 2019: 65 · 2018: 65 · 2017: 61 · 2016: 37 · 2015: 38 · 2014: 22 · 2013: 10 · 2012: 1
FWCI
21.97
Type
conference paper
Language
en
Open access
closed
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
National Science Foundation (1025761)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
Keywords
Amazon Mechanical Turk, human computation, crowdwork, worker-employer relations, mutual aid, socio-technical systems

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