Title

Unsupervised Early Detection of Fake News Articles Using Clustering Techniques

Document Type

Theses, Masters

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences

Publication Details

A dissertation successfully submitted in partial fulfillment of the requirements of Dublin Institute of Technology for the degree of M.Sc. in Computing (Data Analytics) September 2019.

Abstract

Fake news is an evergrowing, ever-changing problem with no clear solution in sight. Interest in fake news has grown substantially in recent years with fake news hitting mainstream headlines across the world with some people believing it played a role in the election of Donald Trump in the U.S presidential election.

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