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

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Bibtex - Lataa

@article{682a5b34c1f34002845bdf3b41e9a443,
title = "Affective economy of national-populist images: Investigating national and transnational online networks through visual big data",
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.",
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",
author = "Jenni Hokka and Matti Nelimarkka",
year = "2019",
month = "8",
day = "21",
doi = "10.1177/1461444819868686",
language = "English",
journal = "NEW MEDIA AND SOCIETY",
issn = "1461-4448",

}

RIS - Lataa

TY - JOUR

T1 - Affective economy of national-populist images

T2 - Investigating national and transnational online networks through visual big data

AU - Hokka, Jenni

AU - Nelimarkka, Matti

PY - 2019/8/21

Y1 - 2019/8/21

N2 - 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.

AB - 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.

KW - Affect

KW - affective economy

KW - Facebook

KW - images

KW - image circulation

KW - nationalism

KW - national-populism

KW - populism

KW - social media

KW - visual big data

KW - EXTREME-RIGHT

KW - SOCIAL MEDIA

KW - CIRCULATION

KW - POLITICS

KW - TWITTER

KW - DEATH

U2 - 10.1177/1461444819868686

DO - 10.1177/1461444819868686

M3 - Article

JO - NEW MEDIA AND SOCIETY

JF - NEW MEDIA AND SOCIETY

SN - 1461-4448

M1 - 1461444819868686

ER -

ID: 36792698