Leveraging AI for Effective Fake News Detection and Verification

The rapid proliferation of fake news, misinformation, and disinformation poses a tremendous threat to the integrity of news and media production. This hazard is augmented by the instantaneous capacity to disseminate fallacious content globally with simply a touch of a button. As a result of this comprehension, this study aims to enhance the efficiency of fact-checking through the application of artificial intelligence (AI) by developing AI models to accurately classify trustworthy news, which improves the detection and containment of fake news. Additionally, the study seeks to raise awareness regarding the importance of news verification, which is achieved by ensuring information validity via AI and providing reports that evaluate the effectiveness of these novel techniques. We experimented with several machine learning models and determined the Support Vector Machine (SVM) was the best performing, which classified news articles with 98.60 percent accuracy by analyzing the first one thousand characters in news articles.