Social Media Fake News Detection Using Machine Learning

Nowadays it has become very difficult to tell the legitimacy of news on social media news blogs and online newspaper. Hence there is a need of tools that can check these sources to identify fake news. The automatic detection of false content in news stories is the main topic of this research. We start by introducing a dataset for the false news detection job. To categorize fake news, we applied language processing methods based on logistic regression. Tokenizing, stemming, stopwords removal and data quality checks (i.e., null or missing values), are some of the tasks carried out by the pre-processing algorithms. We have also used SVM algorithm for fake news identification. We also determine which of the two algorithms Logistic Regression or SVM offer greater performance overall.