Information credibility evaluation in online professional social network using tree augmented naïve Bayes classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10660-019-09387-y.pdf
Reference50 articles.
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3. Lowry, P. B., Wilson, D. W., & Haig, W. L. (2014). A picture is worth a thousand words: Source credibility theory applied to logo and website design for heightened credibility and consumer trust. International Journal of Human-Computer Interaction,30(1), 63–93.
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5. Kato, Y., Inui, K., & Kurohashi, S. (2008). Information credibility on the web. In Internet Research, 18(2).
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