• Mrs C Rekha
• K Nikhita
• T Muniyaswanth
• Sk Najiyana
• K Jagan Mohan Reddy

Misinformation (fake news) is spreading so fast across digital platforms that making a fake news detector is becoming an important task in modern information ecosystem. In this project, I want to create an advanced fake news detection system through the use of machine learning techniques with the help of which fake news articles can be categorized as real or fake with great precision. The system leverages a combination of traditional machine learning algorithms such as Support Vector Machines (SVM), Random Forests, Decision Trees. Term Frequency–Inverse Document Frequency (TF-IDF), word embeddings, contextual analysis are applied to the feature extraction and the model can learn and identify key indicators of misinformation. One aspect of innovation in the proposed system is the adaptive architecture with continuous retraining with new data for different supporting actors facing changing misinformation tactics. Instead of relying on cross validation techniques to prevent overfitting and evaluate performance robustly, this solution is designed to be scalable, adaptive and reliable.Unlike existing real time processing systems, this solution is able to handle scalability issues and has no difficulty in processing information in real time. The system combines machine learning and deep learning with the dynamic learning capabilities, providing a well rounded solution to the issue of fake news, thereby contributing to the accuracy and integrity of the information shared across the digital social media platforms.

Fake news detection, misinformation, machine learning, Decision Trees, SVM, Random Forest, TF-IDF, word embeddings, text classification, digital media safety.

"UNVEILING DECEPTION: ADVANCING FAKE NEWS DETECTION WITH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.f427-f433, April-2025, Available :http://www.jetir.org/papers/JETIR2504558.pdf

"UNVEILING DECEPTION: ADVANCING FAKE NEWS DETECTION WITH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppf427-f433, April-2025, Available at : http://www.jetir.org/papers/JETIR2504558.pdf