Open AccessEnabling trust in crowd labor relations through identity sharing
Author(s) -
Klinger Jörn,
Lease Matthew
Publication year - 2011
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2011.14504801257
Subject(s) - crowdsourcing , anonymity , identity (music) , identity management , internet privacy , order (exchange) , business , crowds , value (mathematics) , social identity theory , sharing economy , public relations , knowledge management , computer science , computer security , world wide web , political science , social group , authentication (law) , social psychology , psychology , physics , finance , machine learning , acoustics
While online Crowdsourcing marketplaces provide a powerful avenue for facilitating new forms of information‐ driven 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 de‐ anonymize 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.