Search results with tag "A data mining perspective"
Fake News Detection on Social Media: A Data Mining …
www.kdd.orgFake News Detection on Social Media: A Data Mining Perspective Kai Shuy, Amy Slivaz, Suhang Wangy, Jiliang Tang \, and Huan Liuy yComputer Science & Engineering, Arizona State University, Tempe, AZ, USA zCharles River Analytics, Cambridge, MA, USA \Computer Science & Engineering, Michigan State University, East Lansing, MI, USA
Fake News Detection - IJARIIT
www.ijariit.comTo detect fake news on social media, [3] presents a data mining perspective which includes fake news characterization on psychology and social theories. This article discusses two major factors responsible for widespread acceptance of fake news by the user which are Naive Realism and Confirmation Bias.
Fake News Detection on Social Media: A Data …
www.kdd.orgFake News Detection on Social Media: A Data Mining Perspective Kai Shuy, Amy Slivaz, Suhang Wangy, Jiliang Tang \, and Huan Liuy yComputer Science & Engineering, Arizona State University, Tempe ...
Fake News Detection Using Machine Learning
matheo.uliege.beof news. In order to work on fake news detection, it is important to understand what is fake news and how they are characterized. The following is based on Fake News Detection on Social Media: A Data Mining Perspective[9]. The rst is characterization or what is fake news and the second is detection. In order
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