Migrant Racialization on Twitter during a border and a pandemic crisis.

COVID-19 Twitter hashtags migration race social media

Journal

International communication gazette
ISSN: 1748-0493
Titre abrégé: Int Commun Gaz
Pays: England
ID NLM: 101718058

Informations de publication

Date de publication:
Apr 2022
Historique:
entrez: 6 4 2022
pubmed: 7 4 2022
medline: 7 4 2022
Statut: ppublish

Résumé

This work examines how the outbreak of the COVID-19 pandemic reshaped the migration debate on Twitter. Through co-hashtag network analysis, time-frequency and content analysis, it shows that the pandemic was related with positive (humanitarian) and negative (threat) stances about migration. The positive side focused on the need to protect refugees stranded at camps in Greece from COVID-19. The negative focused on the Greek-Turkish land-border crisis (Evros crisis), using COVID-19 to reinforce migrants as racialized others. These findings fit the problematization of positive and negative migrant representations in the Global north as Eurocentric. In the case of camps, refugees fit well within the victim/helpless frame, justifying humanitarianism, this time on health grounds. Regarding the border crisis, refugees also fit the Eurocentric frame of violent/male/inferior other who could spread a deadly virus. Overall, COVID-19 intertwined with migration in Twitter debates, reinforcing the racialized, Eurocentric representational field on migrants from the Global south.

Identifiants

pubmed: 35382428
doi: 10.1177/17480485211054301
pii: 10.1177_17480485211054301
pmc: PMC8899841
doi:

Types de publication

Journal Article

Langues

eng

Pagination

227-251

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Références

Int J Health Policy Manag. 2021 Sep 01;10(9):578-580
pubmed: 32772011
Int J Equity Health. 2021 Jun 11;20(1):137
pubmed: 34116671

Auteurs

Maria Avraamidou (M)

Department of Psychology, University of Cyprus, Nicosia, Cyprus.

Eftychios Eftychiou (E)

Independent Researcher, MSC in Computer Science.

Classifications MeSH