Evaluating News Authenticity Using The Hits Algorithm: An Analytical Approach To Identifying Reliable Sources

Abstract

In the age of increasing misinformation and fake news, journalistic accuracy is critical to fostering public confidence and informed decision-making. The rapid spread of fake news can mislead people, negatively affect public opinion, and even incite inappropriate behavior. Ensuring legitimate, verified, and accurate sources not only maintains journalistic integrity but also protects the public from the dangers of misinformation. We have investigated the application of the Hyperlink Induced Topic Search (HITS) algorithm to enhance the accuracy of news internet site extraction that specialize in improving the identification of credible and authoritative sources. The HITS algorithm’s particular capability to assess each authority and hub scores permits the best ranking of internet pages, addressing the task of incorrect information through prioritizing reliable content. While our number one recognition is at the implementation of HITS, we also bear in mind the capability integration of blockchain technology as a future enhancement to similarly confirm the authenticity and integrity of the extracted statistics.