Affective economy of national-populist images: Investigating national and transnational online networks through visual big data

Jenni Hokka*, Matti Nelimarkka

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In our article, we investigate the affective economy of national-populist image circulation on Facebook. This is highly relevant, since social media has been an essential area for the spread of national-populist ideology. In our research, we analyse image circulation as affective practice, combining qualitative and quantitative methods. We use computational data analysis methods to examine visual big data: image fingerprints and reverse image search engines to track down the routes of thousands of circulated images as well as make discourse-historical analysis on the images that have gained most attention among supporters. Our research demonstrates that these existing tools allow social science research to make theory-solid approaches to understand the role of image circulation in creating and sustaining national and transnational networks on social media, and show how national-populist thinking is spread through images that catalyse and mobilise affects - fear, anger and resentment - thus creating an effective affective economy.

Original languageEnglish
Article number1461444819868686
Number of pages23
JournalNEW MEDIA AND SOCIETY
DOIs
Publication statusPublished - 21 Aug 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • Affect
  • affective economy
  • Facebook
  • images
  • image circulation
  • nationalism
  • national-populism
  • populism
  • social media
  • visual big data
  • EXTREME-RIGHT
  • SOCIAL MEDIA
  • CIRCULATION
  • POLITICS
  • TWITTER
  • DEATH

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