NDLI: Are all “research fields” equal? Rethinking practice for the use of data from crowdsourcing market places

Content Provider	Springer Nature Link
Author	Gleibs, Ilka H.
Copyright Year	2016
Abstract	New technologies like large-scale social media sites (e.g., Facebook and Twitter) and crowdsourcing services (e.g., Amazon Mechanical Turk, Crowdflower, Clickworker) are impacting social science research and providing many new and interesting avenues for research. The use of these new technologies for research has not been without challenges, and a recently published psychological study on Facebook has led to a widespread discussion of the ethics of conducting large-scale experiments online. Surprisingly little has been said about the ethics of conducting research using commercial crowdsourcing marketplaces. In this article, I focus on the question of which ethical questions are raised by data collection with crowdsourcing tools. I briefly draw on the implications of Internet research more generally, and then focus on the specific challenges that research with crowdsourcing tools faces. I identify fair pay and the related issue of respect for autonomy, as well as problems with the power dynamic between researcher and participant, which has implications for withdrawal without prejudice, as the major ethical challenges of crowdsourced data. Furthermore, I wish to draw attention to how we can develop a “best practice” for researchers using crowdsourcing tools.
Starting Page	1333
Ending Page	1342
Page Count	10
File Format	PDF
ISSN	07433808
Journal	Behavior Research Methods
Volume Number	49
Issue Number	4
e-ISSN	15543528
Language	English
Publisher	Springer US
Publisher Date	2016-08-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ethics MTurk Crowdsourcing Methodology Sampling Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology 3200/3201 Psychology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Are all "research fields" equal? Rethinking practice for the use of data from crowdsourcing market places.

Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers

The viability of crowdsourcing for survey research

TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences

Perceptual grouping and attention: Not all groupings are equal

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Not all visual features are created equal: early processing in letter and word recognition

Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

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Are all “research fields” equal? Rethinking practice for the use of data from crowdsourcing market places

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Are all “research fields” equal? Rethinking practice for the use of data from crowdsourcing market places