Clickbait detection is the task of identifying clickbait, a form of false advertisement, that uses hyperlink text or a thumbnail link that is designed to attract attention and to entice users to follow that link and read, view, or listen to the linked piece of online content, with a defining characteristic of being deceptive, typically sensationalized or misleading (Source: Adapted from Wikipedia)
Online content publishers often use catchy headlines for their articles in order to attract users to their websites.
Clickbait detection in tweets remains an elusive challenge.
And we have totally tested it, trust us!
The detector is based almost exclusively on text-based features taken from previous work on clickbait detection, our own work on fake post detection, and features we designed specifically for the challenge.
Online news media sometimes use misleading headlines to lure users to open the news article.