A Clone-based Analysis of the Content-Agnostic Factors Driving News Article Popularity on Twitter
Authors: 
Alireza Mohammadinodooshan, William Holmgren, Martin Christensson, 
Niklas CarlssonAuthors Info & Claims
Pages 17 - 24
Abstract
The significant impact of Twitter in news dissemination underscores the need to understand what drives tweet popularity. While the content of an article plays a role, several "content-agnostic" factors also influence tweet popularity. Previous studies have faced challenges in differentiating the effects of content-agnostic factors from content variations. To address this, the paper presents a comprehensive analysis of tweet popularity using a "clone-based" approach. The methodology involves identifying tweets linking the same or similar articles (clones) and studying the factors that make some tweets within clone sets more successful in attracting retweets. The analysis reveals insights into clone set characteristics, winners' success patterns, retweet dynamics over time, domain-based competition, and predictors of success. The findings shed light on the complex nature of popularity and success in social media, providing a deeper understanding of the content-agnostic factors that influence tweet popularity.
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Published: 15 March 2024
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