The goal of the study was to develop a way to tell if news articles are real or fake automatically. They created an algorithm that looks at the credibility of an article by checking the author, publisher, and references. By comparing this information with other data online, they could estimate if an article is credible or not. The algorithm was able to correctly identify real articles as real with an accuracy of 75%. It also did well at spotting fake articles as fake. However, because the testing was limited, the results are not definitive.