International Journal of Scientific Research and Engineering Development

In today's world of social media and politics, detection of false news is a crucial area for research. There may be difficulties because there aren't as many resources, such as published literature and available datasets. In this work, we advise using machine learning techniques to spot fake news. Three different machine learning categorization methods are compared. Decision tree classifier, random forest classifier, and logistic regression were the three techniques we employed. We have obtained varying degrees of accuracy for each method. The obtained results are helpful in detecting the veracity of the specified news.