Social sorting in Europe

Self-censorship in a digital asylum

Bibliographic Data

ID11617641
AuthorsVeronika Nagy (0000-0002-4522-8493, Utrecht University, corresponding author)
Year2024
IssueXLVI/1
Pages149–179-149–179
Publication date2024-09-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArchiwum Kryminologii (JOURNAL)
Journal identifiersISSN: 2719-4280 • E-ISSN: 0066-6890
PublisherPolish Scientific Publishers PWN (PUBLISHER • PL)
DOI10.7420/ak2024.13
OpenAlexW4404743618
LanguageEN
References cited50

In recent decades, global mobility control and digital surveillance measures have increasingly prioritised affective aspects and perception-based policies. However, these practices encounter resistance, particularly in the everyday use of connected migrants. Through qualitative data analysis within the tradition of critical surveillance studies, this paper investigates how marginalised mobile groups – often labelled suspects of terrorism and organised crime – circumvent mobile surveillance and social sorting mechanisms within and beyond Fortress Europe. Rising tech literacy and surveillance awareness among users challenge digital policing, reshaping interactions between suspected newcomers and border control authorities. While existing studies focus on countersurveillance activities, less attention is given to strategic “silences” and social filters used to evade profiling and sorting mechanisms, protecting those who fear the risks of crossing a border. Based on notions of secure connectivity, this research employs a multi-site analysis of refugee polymedia use to examine countersurveillance strategies and digital self-censorship practices in transit countries

Censorship · Internet privacy · Media studies · Political science · Sociology · Sorting · Computer Science · European Criminal Justice and Data Protection · Law · Privacy, Security, and Data Protection · Sex work and related issues

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