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Fake News Detection Using Machine Learning

fake news Detection Using MachineLearningAuthor:Simon LorentSupervisor:Ashwin ItooA thesis presented for the degree ofMaster in data ScienceUniversity Of Li`egeFaculty Of Applied ScienceBelgiumAccademic Year 2018-2019 Contents1 What are fake news ? .. news Characterization .. Feature Extraction .. Content Features .. Context Features .. news Content Models .. models .. Model .. social Context Models .. Related Works .. news Detection .. of the Art Text classification .. Conclusion .. 122 Related Introduction .. Supervised Learning for fake news Detection [12] .. CSI: A Hybrid Deep Model for fake news Detection .. Some Like it Hoax: Automated fake news Detection in social Networks [16] fake news Detection Using Stacked Ensemble of Classifiers.

of news. In order to work on fake news detection, it is important to understand what is fake news and how they are characterized. The following is based on Fake News Detection on Social Media: A Data Mining Perspective[9]. The rst is characterization or what is fake news and the second is detection. In order

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  Social, Media, Data, Perspective, Mining, News, Efka, Detection, A data mining perspective, Fake news detection on social media, Fake news, Fake news detection

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