The volume of online information transfer has raised significantly in past few years. It is mainly due to various online portals that are currently one of the primary sources used by people. It is not always the case that the information found online is correct unless gained through some trusted and verified source. This is the reason why the user falls victim in the hands of false media. The term “Click-Bait” and “Fake News” are heard several times but people are unaware of the harm it is causing. The paper incorporates a Novel Neural Network Approach where Headlines are specifically taken into consideration. The model is tested for various types of headlines included in the Dataset. The proposed system is not only tested for Click-Bait Datasets collected from various news sites but also web-scraped data. Considerable results are obtained in terms of Accuracy, F1-score, Precision and Recall.