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Fake News Detection Using Intelligent Techniques

Nowadays fake news spreads very easily through internet and social media. People tend to easily believe in that fake information and start discussing about it. The more we hear about fake news, the more it becomes easier to believe on it. The main aim of fake news is to earn money through advertising revenue by web trafficking or discrediting a public figure, company,etc. Fake news is one of the biggest issues of this modern era especially in the world of social media. Lot of authors have contributed in detection of fake news using various machine learning algorithms but some gaps were found during analysis which are improved in our proposed model. Our approach detects fake news using intelligent techniques such as SVM, Naive Bayes and Logistic Regression. Their performance is analysed using parameters such as F1 score, recall, precision.support, accuracy.