Trusting information sources one citizen at a time

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Abstract

This paper describes an approach to derive assessments about information sources based on individual feedback about the sources. We describe TRELLIS, a system that helps users annotate their analysis of alternative information sources that can be contradictory and incomplete. As the user makes a decision on which sources to dismiss and which to believe in making a final decision, TRELLIS captures the derivation of the decision in a semantic markup. TRELLIS then uses these annotations to derive an assessment of the source based on the annotations of many individuals. Our work builds on the Semantic Web and presents a tool that helps users create annotations that are in a mix of formal and human language, and exploits the formal representations to derive measures of trust in the content of Web resources and their original source. © Springer-Verlag Berlin Heidelberg 2002.

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APA

Gil, Y., & Ratnakar, V. (2002). Trusting information sources one citizen at a time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2342 LNCS, pp. 162–176). Springer Verlag. https://doi.org/10.1007/3-540-48005-6_14

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