Machine Learning based Click Bait Detection System
Ritu Agarwal, Dhruv Jain, Gagan Sharma, Janardan Tiwari · 2021
The state of the media and related platforms that disseminate information is currently undergoing drastic transformation. Click bait are articles or other form of information that exaggerate the content on the targeted pages. When going through such content people often end up jumping on wrong conclusions. In this research we seek to construct an efficacious computational system primarily using ensemble learning. Several Machine learning algorithms such as Logistic regression, Stochastic Gradient Descent and Random Forest have been used.