Affective economy of national-populist images: Investigating national and transnational online networks through visual big data
Tutkimustuotos: Lehtiartikkeli › › vertaisarvioitu
- Tampere Univ, Tampere University, Fac Informat Technol & Commun Sci
- University of Helsinki
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.
|Julkaisu||NEW MEDIA AND SOCIETY|
|Tila||Julkaistu - 21 elokuuta 2019|
|OKM-julkaisutyyppi||A1 Julkaistu artikkeli, soviteltu|