期刊
NEW MEDIA & SOCIETY
卷 22, 期 5, 页码 770-792出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1461444819868686
关键词
Affect; affective economy; Facebook; images; image circulation; nationalism; national-populism; populism; social media; visual big data
资金
- Academy of Finland
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.
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