Analysis and Design of Hindi Fake News Detection Model Using Machine Learning

The current society we live in is marked by fast change, which brings with it a variety of obstacles that, when taken together; make it difficult for people to live their lives. The discussion that we are having right now focuses on the single most essential problem, which is fake news. The term “fake news” refers to a kind of propaganda or a problem that may include incorrect information and is often distributed through the media. The word itself comes from the English phrase “fake news.” This encompasses not just the internet but also more conventional kinds of media, such as television, newspapers, and even smart phones, to name a few examples. In the society we live in today, where there is an abundance of social media networks, a large number of people are seeking to develop and share information, yet the vast majority of it is pointless and has little bearing on real-world issues. This misleading news is the major driving force behind the dissemination of various different political and commercial purposes. Those aims include: It is now becoming more difficult to differentiate between genuine news and actual news as a direct result of the proliferation of the internet world. In an effort to find a solution to the problem of fake news, we have been putting a lot of effort into developing the idea of a “False news detecting system.” This system integrates a large number of news articles written in Hindi that have been obtained from a wide range of sources.