Enabling trust in crowd labor relations through identity sharing

Abstract

While online Crowdsourcing marketplaces provide a powerful avenue for facilitating new forms of informationdriven micro-labor, their practical value is significantly reduced by worker "spam" and employer fraud. We hypothesize anonymity of parties is a major source of these problems, and we thus propose a human-centric solution: encourage employers and workers to voluntarily deanonymize in order to reap a potential benefit of more productive and profitable labor interactions. To facilitate voluntary identity sharing, we have built a prototype identity management application allowing individuals to associate their crowdsourcing worker/employer identities to their public profiles on social network sites. By providing a vehicle for identity sharing, the prototype provides the foundation for a future user study of employers and workers engaged in known-identity crowd labor relationships. Copyright notice continues right here.