A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features

23 Oct 2017Olga PapadopoulouMarkos ZampoglouSymeon PapadopoulosIoannis Kompatsiaris

The emergence of social media as news sources has led to the rise of clickbait posts attempting to attract users to click on article links without informing them on the actual article content. This paper presents our efforts to create a clickbait detector inspired by fake news detection algorithms, and our submission to the Clickbait Challenge 2017... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.