Abstract
Clickbait is a term used to describe a deceiving web content that uses ambiguity to prompt the user into clicking a link. It aims to increase the number of online readers in order to generate more advertising revenue. In other words, Clickbait is used to describe a type of hyperlink on a web page which seduces a user to click a link to continue reading a specific article.Typically such links will forward the visitor to a page that requires payment, registration, or lead a user to a site, which tries to sell user something or possibly extort user, by withholding the promised "bait". We use supervised machine learning to create a model that is trained on 24 features. This method achieved an F1-score of 79% and an area under the ROC curve of 0.7. Our methodology emphasises the importance of using features extracted from different elements of social media posts along with features that are extracted from the title and the article. In this research, we show that it is possible to identify Clickbaits using all parts of the post while keeping the number of features as minimum as possible.
Highlights
A Clickbait is a deceiving headline with the aim of increasing advertisement revenue without offering adequate content or content that is close to the advertised title
The area underneath the Receiver Operating Characteristic (ROC) curve (AUC) is used as a metric to measure the feasibility of the model
We presented a different approach to the Clickbait classification problem
Summary
A Clickbait is a deceiving headline with the aim of increasing advertisement revenue without offering adequate content or content that is close to the advertised title. A post is considered a Clickbait if it withholds information needed to understand the main theme of the article. When the user clicks on a link and is redirected to an article, the reader finds out that the expectations were fake and he was manipulated. People are increasingly turning to social media for news. They are getting abused by propaganda websites. These websites use Clickbaits with the intent iJOE ‒ Vol 15, No 03, 2019
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