Snehalkumar S. Gaikwad

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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 work. Reputation is one central example: crowdsourcing systems depend on reputation scores from decentralized workers and(More)
Most application provenance systems are hard coded for a particular type of system or data, while current provenance file systems maintain in-memory prove-nance graphs and reside in kernel space, leading to complex and constrained implementations. Story Book resides in user space, and treats provenance events as a generic event log, leading to a simple,(More)
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, stem from social pressure to avoid giving negative feedback. We introduce Boomerang, a reputation system for(More)
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