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• W2040490393 abstract "We describe a new concept and method for evaluating the Web information credibility. The quality control of information (text, image, video etc.) on the Web is generally insufficient due to low publishing barriers. As a result, there is a large amount of mistaken and unreliable information on the Web that can have detrimental effects on users. This calls for technology that facilitates the judging of the credibility (expertise and trustworthiness) of Web content and the accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting several credibility-related features from the target Web content, extracting reputation-related information for the target Web content, such as hyperlinks and social bookmarks and evaluating its distribution, and evaluating features of the target content authors. We propose and describe methodologies of analyzing information credibility of Web information: (1) content analysis, (2) social support analysis and (3) author analysis. We overview our recent research activities on Web information credibility evaluation based on this methodologies." @default.
• W2040490393 created "2016-06-24" @default.
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• W2040490393 date "2010-01-14" @default.
• W2040490393 modified "2023-09-27" @default.
• W2040490393 title "Evaluating credibility of web information" @default.
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• W2040490393 doi "https://doi.org/10.1145/2108616.2108645" @default.
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