<ul><li>Cyber information influence, or disinformation, is a significant threat to social progress and government stability.</li><li>ML techniques, including traditional ML algorithms and deep learning models, are being used to detect disinformation in online media.</li><li>A two-stage meta-analysis was conducted to assess the effectiveness of ML models in detecting disinformation.</li><li>The majority of the ML detection techniques sampled achieved over 80% accuracy, with a mean sample effectiveness of 79.18% accuracy.</li></ul>

Truth in Text: A Meta-Analysis of ML-Based Cyber Information Influence Detection Approaches

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