This research paper explores the effectiveness of textual and linguistic content features in detecting fake news, particularly during the COVID-19 pandemic. The study utilized traditional machine learning models like Random Forest and Support Vector Machine, finding that these models performed well. Combining textual and linguistic features did not significantly improve detection accuracy compared to using them separately. AI
影响 Demonstrates the efficacy of traditional machine learning models for fake news detection, offering an alternative to deep learning approaches.
排序理由 Academic paper on machine learning for fake news detection.
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