The problem of fake news on Facebook largely stems from the quick spread of user-generated content without an effective method for verifying its authenticity. I propose a new feature called "Fact Check." This feature would utilize Artificial Intelligence and Machine Learning algorithms to detect and confirm posts that may contain misleading or false information. Fact Check would flag posts within the user's feed that are suspected of being fake news, automatically comparing their content against reputable news sources and databases. If discrepancies are found between the post's information and verified facts, the system could either mark the content, issue a warning label, or reduce its visibility in the user's feed. Nonetheless, it is important to recognize that the algorithms need to be regularly trained and updated to adapt to the evolving nature of news, the dissemination of misinformation, and the potential for false positives. User feedback mechanisms will be essential for the ongoing enhancement of the system based on real-world experiences.