Automated Fake News Detection in the Age of Digital Libraries

The transformation of printed media into digital environment and the extensive use of social media have changed the concept of media literacy and people’s habit of consuming news. While this faster, easier, and comparatively cheaper opportunity offers convenience in terms of people's access to information, it comes with a certain significant problem: Fake News. Due to the free production and consumption of large amounts of data, fact-checking systems powered by human efforts are not enough to question the credibility of the information provided, or to prevent its rapid dissemination like a virus. Libraries, known as sources of trusted information for ages, are facing with the problem because of this difficulty. Considering that libraries are undergoing digitisation processes all over the world and providing digital media to their users, it is very likely that unchecked digital content will be served by world’s libraries. The solution is to develop automated mechanisms that can check the credibility of digital content served in libraries without manual validation. For this purpose, we developed an automated fake news detection system based on the Turkish digital news content. Our approach can be modified for any other language if there is labelled training material. The developed model can be integrated into libraries’ digital systems to label served news content as potentially fake whenever necessary, preventing uncontrolled falsehood dissemination via libraries.