INFORMATION VALIDATION AND DETECTION TOOL IN NAVIGATING THE DIGITAL NEWS LANDSCAPE

Abstract

With technological progress shaping our digital world, it is crucial to verify news information to maintain a well-informed and democratic society. The increase in digital platforms makes it easier to quickly spread information, which also raises the chances of false information being spread. Incorrect or unconfirmed news stories can lead the public astray, distort understandings, and undermine trust in journalism credibility. Therefore, ensuring the validity of information integrity is crucial in order to protect against intentional manipulation, distortion of context, and malicious intent. This thesis aims to tackle these challenges by creating a complex system that can differentiate between genuine and fake content. Utilizing advanced Artificial Intelligence (AI) algorithms, the suggested solution is designed to examine contextual subtleties, compare various data sources, and use pattern recognition methods to detect and highlight potentially misleading or incorrect information. By utilizing AI techniques, the system aims to identify fake news and promote media literacy and responsible information consumption. The main objective of this project is to cultivate a mindset centered on critical thinking and making informed decisions. The goal of the thesis is to improve society's ability to withstand challenges in the digital age by equipping people with resources to fight against false information. This study looks at AI-powered authenticity verification methods to improve information validation procedures, strengthening the basis of a knowledgeable and robust society.