The why (not) and how (not) of survey to digital footprint linkages: a use-case of ethnic background and social relationships.
In the last decade, there has been a rise of mixed-method-big data approaches in the social sciences. One such approach is linking survey data with digital footprint data. Yet, some of the fundamental challenges of linking survey data with digital footprint data are often unaddressed in prior work....
| Publicado en: | Journal of Ethnic & Migration Studies Vol. 51; no. 12; pp. 3117 - 3135 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Jul2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=186503285&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 186503285 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1369183X 56F jtl: Journal of Ethnic & Migration Studies issn: 1369183X maglogo: N pubinfo: dt: Jul2025 vid: 51 iid: 12 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 186503285 10.1080/1369183X.2025.2487745 ppf: 3117 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 560KB tig: atl: The why (not) and how (not) of survey to digital footprint linkages: a use-case of ethnic background and social relationships. aug: au: Hofstra, Bas affil: Department of Sociology/ICS, Radboud University, Nijmegen, the Netherlands su: Ethnicity Social networks Digital footprint Sampling errors Mixed methods research Data integration Questionnaires sug: subj: Ethnicity Social networks Digital footprint Sampling errors Mixed methods research Data integration Questionnaires keyword: computational sociology digital traces ethnic background survey research ab: In the last decade, there has been a rise of mixed-method-big data approaches in the social sciences. One such approach is linking survey data with digital footprint data. Yet, some of the fundamental challenges of linking survey data with digital footprint data are often unaddressed in prior work. Yet especially because of the importance of ethnic background dynamics in social relationships and the opportunities that survey/digital footprint data linkages afford, addressing such challenges is key. This is because statistical and methodological errors compound and are reinforced when one links (selective) data sources; or when social categories in footprint data are not as detailed as they could be. This contribution lays out why linking survey data with digital footprint data provides insights into ethnic inequalities and intergroup social cohesion, yet simultaneously addresses some of the challenges of doing so with a particular use-case as an example. Consequently, this contribution provides case-examples of methodologies for linking survey and footprint data – i.e. how to be aware of and account for sampling bias, and how to extract meaning in the context of ethnic background from unstructured data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Journal of Ethnic & Migration Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Journal of Ethnic & Migration Studies holder: Taylor & Francis Ltd dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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