Fake News Detection: A Graph Mining Approach

Abstract

The proliferation of the internet and social media has dramatically expanded the reach of information, but it has also made it easier for false information to be disseminated. Automating the classification of misinformation and disinformation is a difficult task, as experts must consider multiple factors when determining the accuracy of an article. This study employs a graph mining technique to identify fake news stories. The linguistic features examined differentiate fake content from credible information. The proposed method was tested using a dataset from the real world, and our experiments demonstrate that it performs similarly to existing fake news detection algorithms on this dataset.