Analysing community reaction to refugees through text analysis of social media data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A748YMPNU" target="_blank" >RIV/00216208:11320/23:748YMPNU - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/22:HAFWC6HQ

Result on the web

<a href="https://www.tandfonline.com/doi/full/10.1080/1369183X.2022.2100551" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/1369183X.2022.2100551</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/1369183x.2022.2100551" target="_blank" >10.1080/1369183x.2022.2100551</a>

Result language

angličtina

Original language name

Analysing community reaction to refugees through text analysis of social media data

Original language description

"Understanding the social integration of refugees requires scholars and community leaders to understand the complex and varied political reaction of citizens to the prospect and reality of refugees entering their local communities. In this study, we apply the Structural Topic Model (STM) to characterise citizen-level discourse in comments posted in response to refugee-related news articles on Facebook"

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Journal of Ethnic and Migration Studies"

ISSN

1369-183X

e-ISSN

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Volume of the periodical

49

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

43

Pages from-to

492-534

UT code for WoS article

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EID of the result in the Scopus database

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