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Link to original content: https://doi.org/10.1145/1753846.1753873

Who are the crowdworkers? | CHI '10 Extended Abstracts on Human Factors in Computing Systems

extended-abstract

Who are the crowdworkers?: shifting demographics in mechanical turk

Authors:

M. Six Silberman,

Andrew Zaldivar,

Bill TomlinsonAuthors Info & Claims

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

Pages 2863 - 2872

https://doi.org/10.1145/1753846.1753873

Published: 10 April 2010 Publication History

Abstract

Amazon Mechanical Turk (MTurk) is a crowdsourcing system in which tasks are distributed to a population of thousands of anonymous workers for completion. This system is increasingly popular with researchers and developers. Here we extend previous studies of the demographics and usage behaviors of MTurk workers. We describe how the worker population has changed over time, shifting from a primarily moderate-income, U.S.-based workforce towards an increasingly international group with a significant population of young, well-educated Indian workers. This change in population points to how workers may treat Turking as a full-time job, which they rely on to make ends meet.

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Cited By

Trenge CGriffith J(2024)Master Turkers: An assessment of data qualityMeasurement Instruments for the Social Sciences10.5964/miss.136196Online publication date: 3-Jul-2024
https://doi.org/10.5964/miss.13619
Epperson RDiederich JGoeschl T(2024)How to Design the Ask? Funding Units vs. Giving MoneyManagement Science10.1287/mnsc.2021.00157Online publication date: 20-Jun-2024
https://doi.org/10.1287/mnsc.2021.00157
Ayanian AUluğ ÖRadke HZick A(2024)The social psychological predictors of men’s backlash responses to the #MeToo movementGroup Processes & Intergroup Relations10.1177/1368430223121049227:7(1680-1711)Online publication date: 30-Jan-2024
https://doi.org/10.1177/13684302231210492
Show More Cited By

Index Terms

Who are the crowdworkers?: shifting demographics in mechanical turk
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

cover image ACM Conferences

CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems

April 2010

2219 pages

ISBN:9781605589305

DOI:10.1145/1753846

General Chairs:
Elizabeth Mynatt
Georgia Institute of Technology
,
Don Schoner
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Copyright © 2010 Copyright is held by the author/owner(s).

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 10 April 2010

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CHI '10

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SIGCHI

CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

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CHI EA '10 Paper Acceptance Rate 350 of 1,346 submissions, 26%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Trenge CGriffith J(2024)Master Turkers: An assessment of data qualityMeasurement Instruments for the Social Sciences10.5964/miss.136196Online publication date: 3-Jul-2024
https://doi.org/10.5964/miss.13619
Epperson RDiederich JGoeschl T(2024)How to Design the Ask? Funding Units vs. Giving MoneyManagement Science10.1287/mnsc.2021.00157Online publication date: 20-Jun-2024
https://doi.org/10.1287/mnsc.2021.00157
Ayanian AUluğ ÖRadke HZick A(2024)The social psychological predictors of men’s backlash responses to the #MeToo movementGroup Processes & Intergroup Relations10.1177/1368430223121049227:7(1680-1711)Online publication date: 30-Jan-2024
https://doi.org/10.1177/13684302231210492
Solomon MGenossar BGal AFekete JOmidvar-Tehrani BRong KShraga R(2024)CopycHats: Question Sequencing with Artificial AgentsProceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics10.1145/3665939.3665963(1-7)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3665939.3665963
Kingsley SSilberman MWang CLambeth RZhi JEslami MLi BBigham J(2024)‘Your Duties Are To Sweep A Floor Remotely’: Low Information Quality in Job Advertisements is a Barrier to Low-Income Job-Seekers’ Successful Use of Digital PlatformsProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663403(1-20)Online publication date: 25-Jun-2024
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Cheon EKhovanskaya V(2024)Amazon Z to A: Speculative Design to Understand the Future of Labor-Intensive WorkplacesProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661561(314-327)Online publication date: 1-Jul-2024
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Neshaei SRietsche RSu XWambsganss T(2024)Enhancing Peer Review with AI-Powered Suggestion Generation Assistance: Investigating the Design DynamicsProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645169(88-102)Online publication date: 18-Mar-2024
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Munoz IKim PO'Neil CDunn MSawyer S(2024)Platformization of Inequality: Gender and Race in Digital Labor PlatformsProceedings of the ACM on Human-Computer Interaction10.1145/36373858:CSCW1(1-22)Online publication date: 26-Apr-2024
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Nguyen TRazniewski SWeikum GSerra ESpezzano F(2024)Cultural Commonsense Knowledge for Intercultural DialoguesProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679768(1774-1784)Online publication date: 21-Oct-2024
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Göldi AWambsganss TNeshaei SRietsche R(2024)Intelligent Support Engages Writers Through Relevant Cognitive ProcessesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642549(1-12)Online publication date: 11-May-2024
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