Aaron Gilbee
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View article: Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms Open
Paid crowdsourcing platforms suffer from low-quality work and unfair rejections, but paradoxically, most workers and requesters have high reputation scores. These inflated scores, which make high-quality work and workers difficult to find,…
View article: Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design Open
Low-quality results have been a long-standing problem on microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been blamed for low-quality results: they are said to make as l…
View article: Crowd Guilds
Crowd Guilds Open
Crowd workers are distributed and decentralized. While decentralization is\ndesigned to utilize independent judgment to promote high-quality results, it\nparadoxically undercuts behaviors and institutions that are critical to\nhigh-quality…
View article: Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms Open
Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality wo…