Bridging language barriers, bonding against immigrants: A visual case study of transnational network publics created by far-right activists in Europe

Author:

Doerr Nicole1

Affiliation:

1. University of Copenhagen, Denmark

Abstract

With the growing importance of digital and social media, visual images represent an increasingly attractive medium for far-right political entrepreneurs to mobilize supporters and mainstream voters in the context of increasing polarization and widespread fears of immigrants and refugees. This article investigates how far-right activists use cartoon images poking fun at immigrants to construct a shared ethno-nationalist bond of solidarity across multilingual and transnational networks and publics. Focusing on right-wing activists as political entrepreneurs, I will explore the visual and discursive translation of nationalist symbols and cartoons within different national political contexts and across linguistic and cultural boundaries. Combining the discourse historical approach (DHA) with multimodal analysis, I will trace the cross-cultural translation and sharing of an anti-immigrant poster created by the Swiss People’s Party (SVP), a right-wing political party in Switzerland, in its controversial ‘black sheep’ campaign. Second, I will show how far-right sympathizers in Italy and Germany, inspired by the SVP, created their own ‘black sheep’ cartoons in which they imagine a racist bond of transnational solidarity through the use of images depicting immigrants as Europe’s other. This article contributes to the study of transnational network publics by showing the relevance of non-verbal and visual translation strategies used by radical right-wing political entrepreneurs to forge stronger alliances cross-nationally and cross-linguistically.

Publisher

SAGE Publications

Subject

Linguistics and Language,Sociology and Political Science,Language and Linguistics,Communication

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3