Clickbait

1. (2021)

Presented at the IEEE/ACM International Conference , this paper focuses on the . The authors developed a machine-learning classifier to automatically detect clickbait. They identified key features that signal a headline is likely bait, such as specific parts of speech (superlatives, intensifiers) and patterns like "X Reasons Why...". 4. "Did clickbait crack the code on virality?" (2022) Clickbait

3. (2016/2019)