What makes Web sites credible?: a report on a large quantitative study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Sentiment Mining in WebFountain
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Topic sentiment mixture: modeling facets and opinions in weblogs
Proceedings of the 16th international conference on World Wide Web
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
On ranking controversies in wikipedia: models and evaluation
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Trustworthiness analysis of web search results
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Finding Comparative Facts and Aspects for Judging the Credibility of Uncertain Facts
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
ImageAlert: credibility analysis of text-image pairs on the web
Proceedings of the 2011 ACM Symposium on Applied Computing
Evaluating credibility of web information
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Disputed sentence suggestion towards credibility-oriented web search
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Finding more trustworthy answers: Various trustworthiness factors in question answering
Journal of Information Science
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We have developed a system for helping users to determine the trustworthiness of uncertain facts based on sentiment and temporal viewpoints by aggregating information from the Web. Our goal is not to determine whether uncertain facts are true or false, but to provide users with additional data on which the trustworthiness of the information can be determined. The system shows with what sentiment and in what context facts are mentioned on the Web and displays any temporal change in the fact's popularity. Furthermore, the system extracts counter facts and analyzes them in the same way. The majority of 1000 users who evaluated our system found it to be a useful tool for helping to determine the trustworthiness of facts from various viewpoints.