BERT-LSTM for Fake News Detection on Facebook Using SVD

Abstract

Millions of individuals throughout the world consider several social networking. The Network sites/apps, such as WhatsApp, Instagram, Twitter, and Facebook, are essential information sources due to their vast user bases. Social networking platforms provide hands-on connectivity with others and ease of use to the down-market that radio and television broadcasters are unable to provide - multi-way communication. By modifying the original content or a full parody presented as fact, negative influencers can take advantage of the freedom provided by social networks and wilfully spread any misinformation. The spread of false information can happen in the blink of an eye, potentially deceiving the general public and spreading to other communities. Despite this awareness, social media platforms continue to spread dubious material. Even though many of them are still passed off as fact, hoaxes continue to be a major problem. To get around this problem, this study proposed a potent technique called BERT-LSTM to identify false information on Facebook. The accuracy of the suggested BERT-LSTM approach is 0.828.