liu.seSök publikationer i DiVA
Ändra sökning
Avgränsa sökresultatet
1 - 2 av 2
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Träffar per sida
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
  • Standard (Relevans)
  • Författare A-Ö
  • Författare Ö-A
  • Titel A-Ö
  • Titel Ö-A
  • Publikationstyp A-Ö
  • Publikationstyp Ö-A
  • Äldst först
  • Nyast först
  • Skapad (Äldst först)
  • Skapad (Nyast först)
  • Senast uppdaterad (Äldst först)
  • Senast uppdaterad (Nyast först)
  • Disputationsdatum (tidigaste först)
  • Disputationsdatum (senaste först)
Markera
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Menshikova, Anastasia
    et al.
    Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Institutet för analytisk sociologi, IAS. Linköpings universitet, Filosofiska fakulteten.
    van Tubergen, Frank
    Univ Utrecht, Netherlands; Univ Groningen, Netherlands.
    What Drives Anti-Immigrant Sentiments Online? A Novel Approach Using Twitter2022Ingår i: European Sociological Review, ISSN 0266-7215, E-ISSN 1468-2672, Vol. 38, nr 5, s. 694-706Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Most studies use survey data to study peoples prejudiced views. In a digitally connected world, research is needed on out-group sentiments expressed online. In this study, we show how one can elaborate on existing sociological theories (i.e. group threat theory, contact theory) to test whether anti-immigrant sentiments expressed on Twitter are related to sociological conditions. We introduce and illustrate a new method of collecting data on online sentiments, creating a panel of 28,000 Twitter users in 39 regions in the United Kingdom. We apply automated text analysis to quantify anti-immigrant sentiments of 500,000 tweets over a 1-year period. In line with group threat theory, we find that people tweet more negatively about immigrants in periods following more salient coverage of immigration in the news. We find this association both for national news coverage, and for the salience of immigration in the personalized set of outlets people follow on Twitter. In support of contact theory, we find evidence to suggest that Twitter users living in areas with more non-western immigrants, and those who follow a more ethnically diverse group of people, tweet less negatively about immigrants.

    Ladda ner fulltext (pdf)
    fulltext
  • 2.
    van Tubergen, Frank
    et al.
    Univ Utrecht, Netherlands; KNAW Univ Groningen, Netherlands.
    Cinjee, Tobias
    Univ Utrecht, Netherlands.
    Menshikova, Anastasia
    Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Institutet för analytisk sociologi, IAS. Linköpings universitet, Filosofiska fakulteten.
    Veldkamp, Joran
    Univ Utrecht, Netherlands.
    Online activity of mosques and Muslims in the Netherlands: A study of Facebook, Instagram, YouTube and Twitter2021Ingår i: PLOS ONE, E-ISSN 1932-6203, Vol. 16, nr 7, artikel-id e0254881Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Research on Muslim minorities in western societies has mainly focused on offline behavior, such as mosque attendance, whereas little is known about their presence in the online world. This study explores the online visibility and activities of all (478) mosques in the Netherlands. We collected data on personal websites and four social media platforms (Facebook, Twitter, Instagram and YouTube). The majority of mosques have a website (52%) and an account on Facebook (61%). Less often used are Twitter (17%), Instagram (17%) and YouTube (19%). On social media platforms, mosques strongly differ in their activity and number of followers. We find evidence to suggest that Salafist mosques, which tend to have a strict ideology, are more active on Twitter and YouTube, and also attract a larger share of followers on Facebook than non-Salafist mosques. Our more fine-grained analysis on Twitter shows that Salafist mosques in the Netherlands cluster together. Followers of Salafist mosques make up a community of users who are mainly connected to each other ("bonding ties"), and much less so to other users ("bridging ties"). We conclude with a discussion of opportunities for studying the online presence and activities of mosques and Muslims in western societies.

    Ladda ner fulltext (pdf)
    fulltext
1 - 2 av 2
RefereraExporteraLänk till träfflistan
Permanent länk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf