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

Norocel, Ov Cristian LU orcid and Lewandowski, Dirk (2023) In Big Data and Society 10(1). p.1-14
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
critical data studies, data void, Germany, politics of exclusion, search engines, Sweden
in
Big Data and Society
volume
10
issue
1
pages
14 pages
publisher
SAGE Publications
external identifiers
  • scopus:85147733828
ISSN
2053-9517
DOI
10.1177/20539517221149099
project
The Extreme Right Metapolitical Project in the Digital Age
language
English
LU publication?
yes
id
1711466f-2d3f-4903-b9e1-90f3d0119a72
date added to LUP
2023-01-11 10:24:09
date last changed
2024-03-06 16:58:29
@article{1711466f-2d3f-4903-b9e1-90f3d0119a72,
  abstract     = {{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<br/>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.}},
  author       = {{Norocel, Ov Cristian and Lewandowski, Dirk}},
  issn         = {{2053-9517}},
  keywords     = {{critical data studies; data void; Germany; politics of exclusion; search engines; Sweden}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{1}},
  pages        = {{1--14}},
  publisher    = {{SAGE Publications}},
  series       = {{Big Data and Society}},
  title        = {{Google, data voids, and the dynamics of the politics of exclusion}},
  url          = {{http://dx.doi.org/10.1177/20539517221149099}},
  doi          = {{10.1177/20539517221149099}},
  volume       = {{10}},
  year         = {{2023}},
}