Fake news detection: Taxonomy and comparative study
Abstract: Highlights•Provides an up-to-date taxonomy for textual-based fake news detection perspective.•Presents an empirical comparison between several feature extraction techniques and classification algorithms.•Provides an error analysis to analyze the potential of combining classifiers and/or feature extractors.•Compares different methods in the way of cost-effectiveness.•Proposes multiple perspectives for future research.
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