Transcription of Fake News Detection Using Machine Learning - uliege.be
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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 2018-2019 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.
Figure 1.1: Fake news on social media: from characterization to detection.[9] De nition 1 Fake news is a news article that is intentionally and veri able false 1.2 Feature Extraction 1.2.1 News Content Features Now that fake news has been de ned and the target has been set, it …
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