Fake News Detection Using Machine Learning

Social media has grown so far today which has raised major concerns about fake news. Social media platforms allow consumers to share facts, some of which are misleading and have no relevance to reality impacting social security of people. It can have significant impacts on public opinion and decision-making. Fake news is false or misleading facts which can damage the reputation or make money through advertising impacting cyber security. Fake news is spreading day by day, and it has become very difficult to differentiate between what is fake news and what is real. Traditional methods of detecting fake news, such as fact-checking, have proven to be insufficient, making it crucial to develop new approaches. Using machine learning, this paper will provide an algorithm to solve this problem. We are trying to solve the problem with the best algorithm which should be accurate and precise. By reviewing and checking for limitations, we can improve our ability to detect fake news.