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University Of North Carolina Chapel Hill Papers

0 research papers from University Of North Carolina Chapel Hill that used Prolific for participant recruitment.

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Behavioral Science

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University Of North Carolina Chapel Hill

University Of North Carolina Chapel Hill: Research Institution — Prolific Citations Library

Browse 3 peer-reviewed papers from University Of North Carolina Chapel Hill spanning Crowdsourcing Contests, Feedback Use (2023–2025). Research powered by Prolific's high-quality participant data.

This page lists 3 peer-reviewed papers from researchers at University Of North Carolina Chapel Hill in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (3 of 3)

"Optimal" Feedback Use in Crowdsourcing Contests: Source Effect and Priming Intervention

Authors: TK Koh

Year: 2025

Published in: Organization Science, 2025 - pubsonline.informs.org

Institution: University of North Carolina Chapel Hill

Research Area: Crowdsourcing Contests, Feedback Use, Priming Intervention, Organizational Science

Discipline: Behavioral Science

The paper examines how solvers in crowdsourcing contests prioritize feedback from seekers over peers, even when equally constructive, and proposes an intervention to improve feedback usage for better outcomes.

Methods: The study involved a field survey and three online experiments to test the theorized source effect and the proposed feedback evaluation intervention.

Key Findings: Solvers' feedback usage patterns, the source effect of feedback (seeker vs. peer), and the influence of feedback constructiveness on idea quality and solvers’ winning prospects.

Citations: 5
Crowdsourced Data Collection Opens New Avenues for the Behavioral Sciences to Impact Real-World Applications

Authors: DJ Kravitz, SR Mitroff

Year: 2024

Published in: Policy Insights from ..., 2024 - journals.sagepub.com

Institution: University of North Carolina at Chapel Hill, Duke University

Research Area: Crowdsourcing, Behavioral Science, Policy Applications

Discipline: Behavioral Science

Citations: 2
People think that social media platforms do (but should not) amplify divisive content

Authors: S Rathje, C Robertson, WJ Brady

Year: 2023

Published in: Perspectives on ..., 2024 - journals.sagepub.com

Institution: New York University, University of North Carolina at Chapel Hill

Research Area: Social Media Perception, Divisive Content, Platform Amplification

Discipline: Social Science

Citations: 82