In the United States, at least 82% of adults get news online. This switch to digital media has profoundly shaped news orgs’ business models. Social media taglines are often modified to be controversial, or even misleading, about an article's contents to attract clicks.
This product provides a tool for media organizations to analyze user interaction with Tweets based on a "clickbaitness" score. This tool uses natural language processing to judge the clickbaitiness of a Tweet based on its content.