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dc.contributor.authorAnthony, Denise
dc.contributor.authorHenderson, Tristan Nicholas Hoang
dc.contributor.authorKitts, James
dc.contributor.editorLiu, Huan
dc.contributor.editorSalerno, John J.
dc.contributor.editorYoung, Michael J.
dc.identifier.citationAnthony , D , Henderson , T N H & Kitts , J 2009 , Trust and privacy in distributed work groups . in H Liu , J J Salerno & M J Young (eds) , Social Computing and Behavioral Modeling . Springer , New York , pp. 16-23 , Second International Workshop on Social Computing, Behavioral Modeling, and Prediction , Phoenix, Arizona , United States , 31/03/09 .
dc.identifier.otherPURE: 6055544
dc.identifier.otherPURE UUID: 6dbd65b9-1e38-4ab0-a03b-86674e24a66d
dc.identifier.otherWOS: 000265381400004
dc.identifier.otherScopus: 84900584378
dc.descriptionProceedings of the 2nd International Workshop on Social Computing, Behavioral Modeling and Predictionen
dc.description.abstractTrust plays an important role in both group cooperation and economic exchange. As new technologies emerge for communication and exchange, established mechanisms of trust are disrupted or distorted, which can lead to the breakdown of cooperation or to increasing fraud in exchange. This paper examines whether and how personal privacy information about members of distributed work groups influences individuals' cooperation and privacy behavior in the group. Specifically, we examine whether people use others' privacy settings as signals of trustworthiness that affect group cooperation. In addition, we examine how individual privacy preferences relate to trustworthy behavior. Understanding how people interact with others in online settings, in particular when they have limited information, has important implications for geographically distributed groups enabled through new information technologies. In addition, understanding how people might use information gleaned from technology usage, such as personal privacy settings, particularly in the absence of other information, has implications for understanding many potential situations that arise in pervasively networked environments.
dc.relation.ispartofSocial Computing and Behavioral Modelingen
dc.rightsThis is an author version of this paper. The published version (c) copyright Springer Science + Business Media, LLC 2009 is available from http://www.springerlink.comen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.titleTrust and privacy in distributed work groupsen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen

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