Clickbait

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)

This paper by Kate Scott uses to explain why we click. It argues that clickbait exploits our natural tendency to seek out information that promises a high reward for low cognitive effort. The author highlights how "information gaps" create a sense of urgency that compels readers to click just to resolve their curiosity. 2. "Does Clickbait Actually Attract More Clicks?" (2021) Clickbait

If you are looking for academic research on clickbait, there are several significant papers that explore its psychology, economic impact, and detection methods. Presented at the IEEE/ACM International Conference , this