Creating an ML model to classify fake news from real news can have several benefits. Firstly, it can help in reducing the spread of misinformation, which can have serious consequences, such as causing panic, spreading hateful ideologies, and even impacting the political and economic stability of a country. Secondly, it can help in improving the quality of information that is available to the public, which is essential for informed decision making. Thirdly, it can be used to train machine learning models to automatically flag or remove fake news from various platforms like social media, news websites, etc. Moreover, it can be a valuable tool for journalists, researchers, and fact-checkers to verify the authenticity of the news. Additionally, it can also be useful for creating a more transparent and accountable ecosystem for news dissemination. Overall, an ML model for classifying fake news from real news can have a significant impact on society by promoting better information and reducing the spread of misinformation.

• Githubhttps://github.com/Abdessamad-Y/Fake_News_Classifier
• StackPython