Studying migrant assimilation through Facebook interests

Antoine Dubois, Emilio Zagheni, Kiran Garimella*, Ingmar Weber

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

Migrant assimilation is a major challenge for European societies, in part because of the sudden surge of refugees in recent years and in part because of long-term demographic trends. In this paper, we use Facebook data for advertisers to study the levels of assimilation of Arabic-speaking migrants in Germany, as seen through the interests they express online. Our results indicate a gradient of assimilation along demographic lines, language spoken and country of origin. Given the difficulty to collect timely migration data, in particular for traits related to cultural assimilation, the methods that we develop and the results that we provide open new lines of research that computational social scientists are well-positioned to address.

Original languageEnglish
Title of host publicationSocial Informatics - 10th International Conference, SocInfo 2018, Proceedings
EditorsSteffen Staab, Olessia Koltsova, Dmitry I. Ignatov
Pages51-60
Number of pages10
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventConference on Social Informatics - Saint-Petersburg, Russian Federation
Duration: 25 Sep 201828 Sep 2018
Conference number: 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11186 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConference on Social Informatics
Abbreviated titleSocInfo
CountryRussian Federation
CitySaint-Petersburg
Period25/09/201828/09/2018

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