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)
If you are looking for academic research on clickbait, there are several significant papers that explore its psychology, economic impact, and detection methods. Clickbait
3. (2016/2019)