Print Email Facebook Twitter On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing Title On the Improvement of Quality and Reliability of Trust Cues in Micro-task Crowdsourcing Author Yang, J. (TU Delft Web Information Systems) Bozzon, A. (TU Delft Web Information Systems) Date 2016 Abstract Micro-task crowdsourcing has become a successful mean to obtain high-quality data from a large crowd of diverse people. In this context, trust between all the involved actors (i.e. requesters, workers, and platform owners) is a critical factor for acceptance and long-term success. As actors have no expectation for “real life” meetings, thus trust can only be attributed through computer-mediated trust cues like workers qualifications and requester ratings. Such cues are often the result of technical or social assessments that are performed in isolation, considering only a subset of relevant properties, and with asynchronous and asymmetrical interactions. In this paper, we advocate for a new generation of micro-task crowdsourcing systems that pursue an holistic understanding of trust, by offering an open, transparent, privacy-friendly, and socially-aware view on the all the actors of a micro-task crowdsourcing environment. To reference this document use: http://resolver.tudelft.nl/uuid:4f527300-5152-4a28-ad39-148947b064c8 Publisher TRUSTINCW Source Weaving Relations of Trust in Crowd Work: Transparency and Reputation across Platforms. Bibliographical note Best Paper Award Part of collection Institutional Repository Document type conference paper Rights © 2016 J. Yang, A. Bozzon Files PDF yang_trust.pdf 352.44 KB Close viewer /islandora/object/uuid:4f527300-5152-4a28-ad39-148947b064c8/datastream/OBJ/view