Fake News Identification using Machine Learning

Priya S. Gadekar
2019 International Journal for Research in Applied Science and Engineering Technology  
Fake news is nothing but junk news also we can say hoaxes that consists of disinformation spread via social media. Fake news is written and published usually with the intent to mislead in order to damage an organization or a person. Fake news can be spread via traditional print, broadcast news. Nowadays Controlling of fake news is become important issue. For that various methods are used. It is difficult to minimize 100% hoax from social media, but at least there is a technology which can
more » ... ogy which can reduce the hoax in social media. With the help of different classifier one can identify fake news. In this work I used two different classifiers which are SVM classifier and Naive Bayes Classifier With this classifiers I achieved 60.97% accuracy with the SVM classifier and a 59.76% with the naïve bayes classifier. This Paper shows the operational comparison of both the classifiers.
doi:10.22214/ijraset.2019.5324 fatcat:zxrzqhirujgnjb32umkvujzame