Social media use and anti-immigrant attitudes: evidence from a survey and automated linguistic analysis of Facebook posts

Saifuddin Ahmed*, Vivian Hsueh Hua Chen, Kokil Jaidka, Rosalie Hooi, Arul Chib

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Social media has a role to play in shaping the dynamic relations between immigrants and citizens. This study examines the effects of threat perceptions, consumptive and expressive use of social media, and political trust on attitudes against immigrants in Singapore. Study 1, based on a survey analysis (N = 310), suggests that symbolic but not realistic threat perception, is positively associated with anti-immigrant attitudes. The consumptive use of social media and political trust is negatively related to anti-immigrant attitudes. Moderation analyses suggest that consumptive social media use has negative consequences for individuals with increased symbolic threat perception and high political trust. But is there a correspondence between consumptive and expressive use of social media in terms of predicting prejudicial attitudes? Study 2 benchmarks the survey findings against participants’ opinion expression via Facebook posts (N = 146,332) discussing immigrants. Automated linguistic analyses reveal that self-reported survey measures correlate with the expressive use of social media for discussing immigrants. Higher anti-immigrant attitudes are associated with higher negative sentiment, anger, and swear words in discussing immigrants. The findings highlight the need to pay attention to the combined influence of social media use and individual political beliefs when analyzing intergroup relations.

Original languageEnglish
Pages (from-to)276-298
Number of pages23
JournalAsian Journal of Communication
Volume31
Issue number4
DOIs
Publication statusPublished - 2021
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by MINISTRY OF EDUCATION SINGAPORE [grant number MOE2017-T2-2-145].

Publisher Copyright:
© AMIC/WKWSCI-NTU 2021.

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