Fake Information Detection Using Deep Learning Methods: A Survey

Abstract

Fake content has always existed, even before the internet was founded. Because social media is free to use and accessible, a great deal of information is shared on these sites. These platforms play a significant role in the dissemination of information, whether accurate or false. The unregulated proliferation of fake information creation and dissemination that we've seen in recent years poses a constant threat to democracy. Fake content articles have the power to persuade individuals, leaving them perplexed. Deep learning techniques are extremely useful for detecting fake information. This paper analyses multiple DL techniques and datasets used by different researchers for analysis that aids in the detection of bogus information.