Shirish Goyal

TL;DR: In this paper, the authors draw inspiration from historical worker guilds (e.g., in the silk trade) to design and implement crowd guilds: centralized groups of crowd workers who collectively certify each other's quality through double-blind peer assessment.

TL;DR: This paper proposes a prototype task to improve the work quality and open-governance model to achieve equitable representation and envisage Daemo will enable workers to build sustainable careers and provide requesters with timely, quality labor for their businesses.

TL;DR: Inspired by a game-theoretic notion of incentive-compatibility, Boomerang opens opportunities for interaction design to incentivize honest reporting over strategic dishonesty.

TL;DR: Boomerang as mentioned in this paper is a reputation system for crowdsourcing that elicits more accurate feedback by rebounding the consequences of feedback directly back onto the person who gave it, inspired by a game-theoretic notion of incentive-compatibility.

TL;DR: This demo presents how Boomerang and Prototype Tasks, the fundamental building blocks of the Daemo crowdsourcing marketplace, help restore trust between workers and requesters.