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Anti-immigration disinformation

Culloty, Eileen orcid logoORCID: 0000-0001-7960-8462 and Suiter, Jane orcid logoORCID: 0000-0002-2747-8069 (2021) Anti-immigration disinformation. In: Tumber, Howard and Waisbord, Silvio orcid logoORCID: 0000-0003-0026-7111, (eds.) The Routledge Companion to Media Misinformation and Populism. Routledge (Taylor & Francis), London, UK. ISBN 9780367435769

Abstract
Anti-immigrant disinformation plays a central role in populist and far-right discourses, but it remains a complex object of study. In addition to the definitional challenges posed by disinformation, populism and far-right extremism, it can be difficult to disentangle the intricate overlap of factors that enable the promotion of anti-immigrant disinformation and render audiences receptive to it. To understand these dynamics, this chapter outlines disinformation as a process that engages different actors, platforms, and audiences. It provides an up-to-date analysis of the diverse range of actors who promote anti-immigrant disinformation, explores how platform structures enable anti-immigrant manipulation tactics, and, finally, it contextualises audience receptivity in terms of attitudes towards immigrants and social change. Ultimately, we suggest that efforts to counter anti-immigrant disinformation require multiple overlapping actions that reduce exposure to disinformation while also addressing more deep-seated issues surrounding the crisis of legitimacy within democracy and declining trust in institutions.
Metadata
Item Type:Book Section
Refereed:Yes
Uncontrolled Keywords:disinformation; social media
Subjects:Social Sciences > Mass media
Social Sciences > Migration
Social Sciences > Identity
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Communications
Research Initiatives and Centres > FUJO. Institute for Future Media, Democracy and Society
Publisher:Routledge (Taylor & Francis)
Official URL:https://www.routledge.com/The-Routledge-Companion-...
Copyright Information:© 2021 Taylor & Francis
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:This research received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825227
ID Code:25758
Deposited On:14 Apr 2021 12:43 by Eileen Culloty . Last Modified 24 Sep 2022 03:30
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