In today's digital age, the spread of fake news and viral deception has become a pressing issue, with far-reaching consequences for individuals, societies, and governments. Information technology (IT) has emerged as a key tool in combating this problem, with a range of techniques and tools being developed to detect and expose fake news and malicious viral content. This article provides a comprehensive overview of the role of information technology in the fight against fake news and viral deception. It explores the scale and scope of the problem, as well as the challenges associated with detecting and combating it. The article then delves into the various tools and techniques that are being used to detect fake news and malicious viral content, including keyword and sentiment analysis, natural language processing, and machine learning. It also discusses the benefits and limitations of these techniques, highlighting the need for a multi-pronged approach that combines technological solutions with education and media literacy. The article goes on to examine the future of IT in combating fake news and malicious viral content. It discusses how improved detection techniques, the use of blockchain technology, collaborative efforts between governments and tech companies, and the development of ethical guidelines for AI will all play a key role in mitigating the impact of fake news and viral deception. Overall, the article emphasizes the importance of a coordinated and comprehensive approach to addressing this problem, one that leverages the latest advances in information technology and involves collaboration between governments, tech companies, and individuals. By working together, we can unmask the lies and combat the spread of fake news and malicious viral content, ensuring that accurate and reliable information remains at the heart of our digital discourse.

Fake news; Viral deception; Information technology; Detection techniques; Collaboration