[PDF][PDF] EFFECTS OF HUMAN AND HUMAN-MACHINE FAKE NEWS DETECTION APPROACHES ON USER DETECTION PERFORMANCE.
International Journal of Advanced Research in Computer Science, 2019•academia.edu
The detection of fake news is a relevant problem news; Human-based, Machine-based and
the Humanin detecting fake news. In this study, we test the effects Machine approach.
Participants performed a small classification study used two levels of a within-subject
design; where Performance and User experience were the dependent fake news detection
effectiveness by 26%. The results detection.
the Humanin detecting fake news. In this study, we test the effects Machine approach.
Participants performed a small classification study used two levels of a within-subject
design; where Performance and User experience were the dependent fake news detection
effectiveness by 26%. The results detection.
Abstract
The detection of fake news is a relevant problem news; Human-based, Machine-based and the Humanin detecting fake news. In this study, we test the effects Machine approach. Participants performed a small classification study used two levels of a within-subject design; where Performance and User experience were the dependent fake news detection effectiveness by 26%. The results detection.
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