Information credibility analysis of web content
Yutaka Kidawara · 2008
General users write daily news about themselves and post information they consider interesting as digital documents for blogs and SNS. Such digital content includes both valuable information as well as worthless, false, and demagogic information. Ordinary web search engines can display web pages in a particular order. The ranking method evaluates the score of web content and generates a ranked list. The top-ranked web content on search engines is often relevant to the user's query, though, in some cases, the content may not be credible or valuable. Nevertheless, readers often trust the authenticity of the displayed information. Even if users believe that the content is useful, the search engine cannot evaluate the retrieved digital content, and users have to retrieve a variety of content using different keywords. The need for an information analysis technology that helps find credible and valuable information from large amounts of Web content is progressively growing.