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Author: search.filters.author.Shukla, TanuSubject: search.filters.subject.Fake news

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    The Role of AI in Combating Fake News and Misinformation
    (Springer, 2023-03) Nirban, Virendra Singh; Shukla, Tanu
    The recent proliferation of social media has undoubtedly brought about many benefits, but along with it also came a serious impediment to society in the form of “fake news” which has become an eminent barrier to journalism, freedom of expression, and democracy as a whole. The study aims to understand the currently used AI techniques for detecting fake news, identify their shortcomings, and compare them with the emerging models. We compared the performance of memory-based methods (LSTM and Bi-LSTM) with traditional methods. We also compared the changes in performance after applying ensemble learning approaches. The study aimed to identify suitable models for fake news detection. This is in hopes of eventually promoting a safe and healthy environment for sharing information and content online and, in the process, helping develop strategies and techniques to curb the spread of fake news on social media.
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    A Machine Learning Perspective on Fake News Detection: A Comparison of Leading Technqiues
    (IJCISIM, 2023) Nirban, Virendra Singh; Shukla, Tanu
    The exponential growth of social media has yielded several advantages, but it has also brought about a major challenge in the form of “fake news”, which has become a substantial hindrance to journalism, freedom of expression, and democracy at large. The purpose of this study was to examine the current AI techniques employed for detecting fake news, determine their limitations, and compare them with the latest models. The performance of memory-based and Ensemble methods (LSTM, Bi-LSTM, BERT, Distilled BERT, XGBoost, and AdaBoost) was compared with traditional methods, and the impact of ensemble learning was evaluated. The study aimed to identify appropriate models for fake news detection in order to facilitate a secure and reliable environment for information sharing on social media and ultimately counteract the spread of false information.