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Refugee debate and networked framing in the hybrid media environment

Datos Bibliográficos

ID12898697
AutoresReeta Pöyhtäri (0000-0002-1919-7005, University of Helsinki, autor de correspondencia), Matti Nelimarkka (0000-0001-9867-692X, University of Helsinki), Kaarina Nikunen (0000-0002-5747-4093, Tampere University), Markus Ojala (0000-0002-7784-8179, University of Helsinki), Mervi Pantti (0000-0001-9332-1556, University of Helsinki), Juho Pääkkönen (0000-0002-0378-845X, University of Helsinki)
Año2019
Volumen83
Número1
Páginas81-102
Fecha de publicación2019-11-05
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Communication Gazette (JOURNAL)
Identificadores de la revistaISSN: 1748-0485 • E-ISSN: 1748-0493
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/1748048519883520
OpenAlexW2989368430
IdiomaEN
Citas recibidas33
Referencias citadas34

In this article, we analyse how the debate on the ‘refugee crisis’ has been constructed in Finnish news media and social media by using big data analytics. The study applies big data with the aim of exploring the dynamics between the mainstream news media and social media and the ways in which these dynamics shape and strategically amplify different understandings of the refugee crisis. The research highlights over-emphasis of crime and threat-oriented themes on refugee issues in social media, as well as illuminates the distinct role of social media platforms in shaping debates through user practices of hyperlink sharing and networked framing. Together these findings suggest that the hybrid media environment provides a possible arena for polarization of the refugee debate that could also be used for political ends

Big data · Framing (construction · Mainstream · Media studies · Political science · Politics · Public relations · Refugee · Social media · Sociology · Computer Science · Electoral Systems and Political Participation · Engineering · Law · Media Studies and Communication · Social Media and Politics

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Obras citantes distintas33
Citas por año4,71
Intervalo de citas2019 - 2026 (8)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 31
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