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We have extended the list of significant credibility assessment factors described in previous research and analyzed their relationships to credibility evaluation scores.
By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages.
These findings can guide future research on the design of automatic or semi-automatic systems for Web content credibility evaluation support.
The present study assessed the effects of a short-term intervention designed to enhance students' web searching skills, particularly query formulation, information selection and credibility evaluation.
The second step is a credibility evaluation, which relates to the degree of confidence potential end-users have in MOTIFS and hence their willingness to effectively use it in practice.
She says the burden of credibility evaluation has increased because of technology and the consequent flood of too much information -- but paradoxically, technology also helps with the problem.
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Credibility evaluations played a minor role.
Discovered factors that affect Web content credibility evaluations are also weakly correlated, which makes them more useful for modeling and predicting credibility evaluations.
The goal of our research is to create a predictive model of Web content credibility evaluations, based on human evaluations.
The model can be used to determine the significance and impact of discovered factors on credibility evaluations.
The model has to be based on a comprehensive set of independent factors that can be used to guide user's credibility evaluations in crowdsourced systems like WOT, but also to design machine classifiers of Web content credibility.
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