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Augmenting web pages and search results to support credibility assessment
2011
Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11
The presence (and, sometimes, prominence) of incorrect and misleading content on the Web can have serious consequences for people who increasingly rely on the internet as their information source for topics such as health, politics, and financial advice. In this paper, we identify and collect several page features (such as popularity among specialized user groups) that are currently difficult or impossible for end-users to assess, yet provide valuable signals regarding credibility. We then
doi:10.1145/1978942.1979127
dblp:conf/chi/SchwarzM11
fatcat:jytiwsybwvej3fxexulewsuxeu