Document Type

Working Paper

Abstract

Clickbait is a method of framing articles’ titles to induce readers to click on them, and is a common feature of online media today. We use a publicly available data set consisting of articles from 25 media organizations, each of which is rated as clickbait or not by human respondents, and augment it with Twitter retweet count, sentiment analysis and topic modeling. We demonstrate that human interest articles are positively associated with clickbait. We also show that the fraction of people with journalistic backgrounds in an organization’s top management team is positively related to its clickbait usage. Finally we show that clickbait is rebroadcast less than non-clickbait on social media. Our results serve as a cautionary message to media organizations and digital marketers, who may be inadvertently harming the reach of their content by using clickbait.

Publication Date

1-4-2019

Publisher

Indian Institute of Management Bangalore

Relation

IIMB Working Paper-592

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