Affiliation:
1. Umeå University, Sweden
Abstract
Using a combination of descriptive statistics, sentiment analysis and close readings of a collection of 74,336 Swedish tweets, this article explores the platform usage patterns of users who are influential in a Swedish far-right discourse on Twitter and how these users help to (re)produce far-right discourse. Specifically, it focuses on their use of platform functions and on language use. The analysis shows that influential users have a narrow focus in terms of the content they post and how they profile themselves. They are highly active, have more followers and produce more original content than other users. Surprisingly, while previous research has found that emotionally charged tweets are retweeted more and that highly popular and influential Twitter users tend to express more emotion while tweeting, influential users in this dataset often posted far-right content concealed as neutral, factual statements. This use of seemingly neutral language creates an inclusive far-right context, lets influential users evade responsibility for their content as well as facilitates more overtly hateful interpretations.
Subject
Language and Linguistics,Communication
Cited by
37 articles.
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