Discover 4 peer-reviewed studies in Crowdsourcing Research Methods (2020–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 4 peer-reviewed papers in the research area of Crowdsourcing Research Methods in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: RG Rinderknecht, L Doan
Year: 2025
Published in: Sociological ..., 2025 - journals.sagepub.com
Institution: RAND
Research Area: Crowdsourcing Research Methods, Time Use Studies, Social Science
Discipline: Artificial Intelligence
Time use patterns of MTurk and Prolific respondents differ significantly from the general U.S. population (ATUS), including less housework and care work, more time at home and alone, even after accounting for demographic differences.
Methods: Time diaries were collected and analyzed for 136 MTurk and 156 Prolific respondents, then compared with 468 ATUS responses.
Key Findings: Daily time use patterns including work, housework, travel, leisure, and time spent alone or at home.
Citations: 6
Sample Size: 760
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Authors: JS Michel, G Sawhney, GP Watson
Year: 2025
Published in: How to Conduct and ..., 2025 - elgaronline.com
Institution: Auburn University
Research Area: Crowdsourcing, Research Methods, Social Science
Discipline: Social Science
Crowdsourcing is a versatile tool leveraging collective intelligence for efficient task completion and has applications across various fields including decentralized finance, blockchain technologies, and IO Psychology research and practice.
Methods: The paper discusses the theoretical and practical applications of crowdsourcing in various domains, referencing prior work and examples such as Wikipedia, crowdfunding platforms, and blockchain networks.
Key Findings: The applications and impact of crowdsourcing in different fields, particularly its role in Industrial-Organizational Psychology for data collection and analysis.
Citations: 1
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Authors: DA Albert, D Smilek
Year: 2024
Published in: Scientific Reports, 2023 - nature.com
Institution: University of Waterloo, University of Waterloo
Research Area: Crowdsourcing Research Methods, Behavioral Science, Human-Computer Interaction (HCI)
Discipline: Psychological Science
Prolific participants exhibited lower levels of attentional disengagement compared to MTurk participants, with risk conditions and platform traits influencing task performance and disengagement.
Methods: Participants from Prolific and MTurk completed an attention task with varying error risk levels (high vs. low), and attentional disengagement was measured using task performance, self-reported mind wandering, and multitasking.
Key Findings: Attentional disengagement through task performance, mind wandering, and multitasking under different risk conditions across two recruitment platforms (Prolific and MTurk).
Citations: 150
Sample Size: 80
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Authors: S Connors, K Spangenberg, AW Perkins
Year: 2020
Published in: Journal of ..., 2020 - Taylor & Francis
Institution: University of Guelph, University of Utah, University of Victoria
Research Area: Psychological Measurement, Crowdsourcing, Behavioral Research Methods
Discipline: Behavioral Science
DOI: https://www.tandfonline.com/doi/abs/10.1080/00913367.2020.1806155#
Citations: 10