Description

Information systems such as the Web often include open information sources that have very varying quality, and may be subject to deception. The information is often of unknown origins and there is often no prior history with many of the sources that may be used to assess their reputation. This project will investigate how to represent, learn, and characterize the reputation and reliability of sources in an information system that collects from users their individual trust ratings and derives over time their collective consensus trust. This project will analyze the factors that affect trust in sources, study how to capture user feedback, and develop algorithms to derive source reputation. Based on this model of trust, a mathematical analysis of source trust and deception will relate formally a number of salient factors that influence trust in information systems.

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