Resume/abstract: the report examines the phenomenon of “fake reports, and the impact that misinformation has on a large sports web. The problem associated with their increased popularity in the social network and the gradual transition from political life to the abyss of sports leads to the need to identify and classify fake news in the sports web network in order to provide a mechanism for their recognition and a rich tool supporting such work. In times of fake news, sports stars need harmlessness and all kinds of contacts with the media in order to turn their own results for the better. With the help of a literary analysis of specialized sources, examples of disinformation were found in live stories, and naturally, definitions of fake news, propaganda and disinformation appeared. After a review of specialized sources, a classification of ten types of fake news in sports life was compiled with real examples from the world of bulgarian athletes. With this, a simplified seven-step algorithm was made to maintain critical thinking of customers and decision-making when confirming news in the media space. As a result, a classification of “fake news” in sports life is proposed and an algorithm is based, news today sports a practical online toolkit was formed that would help analyze the available data and recognize signs of https://www.kntvnews.in/category/sport/ fake news in the physical education internet media. The tool was launched through the html programming language html in the form of online texts accessible from anywhere in the world. This is a set of add-ons that identify any kind of fake content on this internet. This toolkit can be used to enhance the safety of bodybuilders and even their gaming results.
