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

Datos Bibliográficos

ID5260460
AutoresO C Norocel (0000-0002-7349-4000, Lund University, autor de correspondencia), Dirk Lewandowski (0000-0002-2674-9509, Universität Hamburg)
Año2023
Volumen10
Número1
Fecha de publicación2023-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBig Data & Society (JOURNAL)
Identificadores de la revistaISSN: 2053-9517 • E-ISSN: 2053-9517
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517221149099
OpenAlexW4319320501
IdiomaEN
Citas recibidas9
Referencias citadas47

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

Analytics · Big data · Data mining · Data science · Extreme right · Geography · Mainstream · Political science · Politics · Popularity · World Wide Web · Computer Science · Ethics and Social Impacts of AI · Global Security and Public Health · Law · Misinformation and Its Impacts