Arbeitspapier

Immigrant Narratives

Immigration is one of the most divisive political issues in many countries today. Competing narratives, circulated via the media, are crucial in shaping how immigrants' role in society is perceived. We propose a new method combining advanced natural language processing tools with dictionaries to identify sentences containing one or more of seven immigrant narrative themes and assign a sentiment to each of these. Our narrative dataset covers 107,428 newspaper articles from 70 German newspapers over the 2000 to 2019 period. Using 16 human coders to evaluate our method, we find that it clearly outperforms simple word-matching methods and sentiment dictionaries. Empirically, culture narratives are more common than economy-related narratives. Narratives related to work and entrepreneurship are particularly positive, while foreign religion and welfare narratives tend to be negative. We use three distinct events to show how different types of shocks influence narratives, decomposing sentiment shifts into theme-composition and within-theme changes.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 10026

Klassifikation
Wirtschaft
International Migration
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Thema
narrative economics
immigration
media
newspapers
voting

Ereignis
Geistige Schöpfung
(wer)
Gehring, Kai
Adema, Joop
Poutvaara, Panu
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Gehring, Kai
  • Adema, Joop
  • Poutvaara, Panu
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2022

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