Google, data voids, and the dynamics of the politics of exclusion

Ov Cristian Norocel, Dirk Lewandowski

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review


This study deploys a critical approach to big data analytics to gauge the tentative contours of data voids in Google searches that reflect extreme-right dynamics of exclusion in the aftermath of the 2015 humanitarian crisis in Europe. The study adds complexity to the analysis of data voids, expanding the framework of investigation outside the USA context by concentrating on Germany and Sweden. Building on previous big data analytics addressing the politics of exclusion, the study proposes a catalogue of queries concerning the issue of migration in both Germany and Sweden on a continuum from mainstream to extreme-right vocabularies. This catalogue of queries enables specific and localized queries
to identify data voids. The results show that a search engine's reliance on source popularity may lead to extreme-right sources appearing in top positions. Furthermore, using platforms for user-generated content provides a way for localized queries to gain top positions.
Sidor (från-till)1-14
Antal sidor14
TidskriftBig Data and Society
Tidigt onlinedatum2023 feb. 5
StatusPublished - 2023 feb. 5

Ämnesklassifikation (UKÄ)

  • Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
  • Internationell Migration och Etniska Relationer (IMER)
  • Statsvetenskap (exklusive studier av offentlig förvaltning och globaliseringsstudier)


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