The advent of the World Wide Web and the rapid proliferation of social media platforms, such as Facebook and Twitter, have revolutionized the landscape of information dissemination, allowing users unprecedented access to news and updates at their fingertips. While these platforms have empowered news outlets to deliver real-time information and fostered vibrant discussions on various societal issues, they have also become breeding grounds for misinformation and disinformation, commonly referred to as fake news. This troubling phenomenon has gained significant prominence, particularly evident during critical events such as the 2016 US elections, when misleading narratives spread rapidly across digital channels, resulting in detrimental effects on public opinion and behavior. The impact of fake news extends beyond politics; it infiltrates various domains, including health, science, and finance, where inaccurate information can lead to severe consequences. For instance, the financial markets are particularly vulnerable to the ripple effects of unverified rumors, which can trigger market instability and influence investor behavior. Given the pervasive nature of fake news and its potential to shape societal perceptions, there is a pressing need for automated solutions to accurately classify news articles as real or fake, thereby empowering consumers to make informed decisions about the information they encounter.