Аннотация:Fake news proves to have a great impact on society as well as the public.It not only affects people's perception but also fails to preserve the traditional news ecosystem based on the pillars of truth and reality.Considering this situation that affects the public worldwide, here we propose an application that can identify any false information that gets circulated through social media.Our system is proposed with a goal to identify the fake news by making comparisons with the existing facts and data which are available in our datasets.The text information given by the user as an input to the system can be easily distinguished either as fake or real with respective tags attached in the output.Our proposed model enables the ability to identify fake and misleading information and thus retain the trust of the public, leading to the protection of society from the negative impacts of fake news.
