Exploring narrative linearity between Twitter and the news: Echoes of the Arab Spring in Brazil

Abstract

This article explores the use of narrative theory as an analytical framework to investigate the extent to which popular hashtags and the news can develop into intersecting stories. It juxtaposes the case of hashtag-based reports seen during the Arab Spring to understand the coverage of notorious political episodes in Brazil. Namely, the 2016 impeachment of Dilma Rousseff and the 2018 election of Jair Bolsonaro. Here, narrative linearity emerges as a tool to observe the borrowing of Twitter hashtags in several journalistic pieces. It is contended that the linearity of authorship, narration and representation of time appears as a satisfactory pathway to trace the development of hashtags into popular news stories. Results suggested that hashtags can significantly follow narratives and agendas in journalism but differing from their original social media context.