Fake News Detection Using Machine Learning

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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 2018-2019Contents1 What are fake news ? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . news Characterization . . . . . . . . . . . . . . . . . . . . . . Feature Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Content Features . . . . . . . . . . . . . . . . . . . . . . . . . Context Features.

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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