Believe it or not: factors influencing credibility on the Web
Journal of the American Society for Information Science and Technology
Elements that affect web credibility: early results from a self-report study
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Trusting Information Sources One Citizen at a Time
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Towards content trust of web resources
Web Semantics: Science, Services and Agents on the World Wide Web
Trust network-based filtering of aggregated claims
International Journal of Metadata, Semantics and Ontologies
A New Trust Model Based on Social Characteristic and Reputation Mechanism for the Semantic Web
WKDD '08 Proceedings of the First International Workshop on Knowledge Discovery and Data Mining
Quality-driven information filtering using the WIQA policy framework
Web Semantics: Science, Services and Agents on the World Wide Web
Using evidence based content trust model for spam detection
Expert Systems with Applications: An International Journal
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Trust plays an important part in people's decision processes for using information. This is especially true on the Web, which has less quality control for publishing information. Untrustworthy data may lead users to make wrong decisions or result in the misunderstanding of concepts. Therefore, it is important for users to have a mechanism for assessing the trustworthiness of the information they consume. Prior research focuses on policy-based and reputation-based trust. It does not take the information itself into account. In this PhD research, we focus on evaluating the trustworthiness of Web content based on available and inferred metadata that can be obtained using Semantic Web technologies. This paper discusses the vision of our PhD work and presents an approach to solve that problem.