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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AHAFWC6HQ" target="_blank" >RIV/00216208:11320/22:HAFWC6HQ - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11320/23:748YMPNU

Výsledek na webu

<a href="https://doi.org/10.1080/1369183X.2022.2100551" target="_blank" >https://doi.org/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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 in Lancaster, Pennsylvania, and Roanoke, Virginia, two cities with similar demographics and conservative partisanship, but sharply contrasting refugee-related policies and experiences. We find that, overall, commenters framed their arguments with an identity-based frame more often than economics, morality, security or legality frames, but that these tended to be blended in ways that obscure the basis in identity. We also find that comments within the discourse of the more refugee-experienced Lancaster community were more likely to involve substantive arguments than in Roanoke, more likely to use economics frames, less likely to use identity frames, less likely to involve incivility and less likely to feature a salient misinformation-influenced theme (refugees vs. homeless veterans). This suggests that host community discourse grows more substantive and positive as a function of hospitable refugee policies and refugee hosting experience, and we discuss how this research might be expanded beyond this pair of cases to evaluate this broader implication.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 in Lancaster, Pennsylvania, and Roanoke, Virginia, two cities with similar demographics and conservative partisanship, but sharply contrasting refugee-related policies and experiences. We find that, overall, commenters framed their arguments with an identity-based frame more often than economics, morality, security or legality frames, but that these tended to be blended in ways that obscure the basis in identity. We also find that comments within the discourse of the more refugee-experienced Lancaster community were more likely to involve substantive arguments than in Roanoke, more likely to use economics frames, less likely to use identity frames, less likely to involve incivility and less likely to feature a salient misinformation-influenced theme (refugees vs. homeless veterans). This suggests that host community discourse grows more substantive and positive as a function of hospitable refugee policies and refugee hosting experience, and we discuss how this research might be expanded beyond this pair of cases to evaluate this broader implication.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Journal of Ethnic and Migration Studies

ISSN

1369-183X

e-ISSN

1469-9451

Svazek periodika

49

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

43

Strana od-do

492-534

Kód UT WoS článku

000841131100001

EID výsledku v databázi Scopus

2-s2.0-85136176922