Automatic Detection of Clickbait Headlines Using Semantic Analysis and Machine Learning Techniques

Clickbait headlines are misleading headiness designed to attract attention and entice users click on the link. Links can host malware, trojans phishing attacks. Clickbaiting is one of more subtle methods used by hackers scammers. For these reasons, clickbait a serious issue that must be addressed. This paper presents method for identifying using semantic analysis machine learning techniques. The involves analyzing thirty unique features exploring six different classification algorithms individually in ensemble forms. Results show top models have an accuracy 98% classifying headlines. proposed serve as template developing practical applications detect automatically.