How Much Do Platform Workers Value Reviews? An Experimental Method
David M. Holtz, Liane Scult, Siddharth Suri
Abstract
Previous qualitative work has documented that platform workers place an immense importance on their reputation due to the use of algorithmic management by online labor platforms. We provide a general experimental method, which can be used across platforms and time, for numerically quantifying the intensity with which platform workers experience reputation system-based algorithmic management. Our method works via an experiment where workers choose between a monetary bonus or a positive review. We demonstrate this method by measuring the value that freelancers assigned to positive feedback on Upwork in June 2020. The median freelancer in our sample valued a single positive review at ∼ $49 USD. We also find that less experienced freelancers valued a positive review more highly than those with more experience. Qualitative data collected during the experiment indicates that many freelancers considered issues related to reputation system-based algorithmic management while choosing between the monetary reward and the positive review.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 0f2af8e5-8654-47e9-a1a7-4e8310c07e0dCited by top-tier papers3
- The Value, Benefits, and Concerns of Generative AI-Powered Assistance in WritingZhuoyan Li, Chen Liang, Jing Peng, Ming YinCHI 2024 · 78 citations
- Fulfillment of the Work Games: Warehouse Workers' Experiences with Algorithmic ManagementEunjeong Cheon, Ingrid EricksonCSCW 2025 · 6 citations
- Labor, Capital, and Machine: Toward a Labor Process Theory for HCIYigang Qin, EunJeong CheonCHI 2026 · 1 citation
Related papers
- Platform-mediated Markets, Online Freelance Workers and Deconstructed IdentitiesIsabel Muñoz, Michael Dunn, Steve Sawyer, Emily MichaelsCSCW 2022 · 31 citations
- When Reputation Meets Subsidy: How to Build High Quality On Demand Service PlatformsZhixuan Fang, Jianwei HuangINFOCOM 2020 · 1 citation
- Cooperation in the Gig Economy: Insights from Upwork FreelancersZachary Fulker, Christoph RiedlCSCW 2024 · 16 citations
- "Why lose control?" A Study of Freelancers' Experiences with Gig Economy PlatformsJuan Carlos Alvarez de la Vega, Marta E. Cecchinato, John RooksbyCHI 2021 · 55 citations
- HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing MarketsYasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay KulkarniAAAI 2020 · 15 citations
