Document (#42193)

Author
Mülling, E
Title
Big Data und der digitale Ungehorsam
Imprint
Wiesbaden : Springer VS
Year
2019
Pages
XV, 242 S
Isbn
978-3-658-24158-2
Series
Bürgergesellschaft und Demokratie
Abstract
Eric Mülling untersucht den Einfluss von Massendatenauswertung auf Netzaktivisten. Dazu interviewt der Autor u.a. den ehemaligen WikiLeaks-Aktivisten Daniel Domscheit-Berg, netzpolitik.org-Redakteur Andre Meister sowie die Netzkünstler Carmen Weisskopf und Domagoj Smoljo der !Mediengruppe Bitnik. Grundlage des Buches ist die politische Theorie des zivilen Ungehorsams. Durch die Analyse der Experteninterviews nach Identität, Subkultur, Gewissensentscheidung und Strategie entsteht die Idee zu einer eigenen Konzeption digitalen Ungehorsams. Die anschließende Darstellung der Effekte von Big Data auf die digitalen Protestakteure zeigt, wie die neue Technologie die Aktivisten gleichermaßen bedroht wie motiviert.
Content
Dissertation, Universität Potsdam, 2018.
Footnote
Rez. in: Spektrum der Wissenschaft 2019, H.4, S.92-93 (A. Lobe): "Der Autor hat eine theoretisch fundierte, kenntnisreiche und methodisch saubere Dissertation vorgelegt, die den Lesern die politische Dimension des Datensammelns vor Augen führt ... . Mülling hat mehrere Jahre an der Schnittstelle von Informatik und Politikwissenschaft geforscht ... . Im theoretischen Teil wären noch etwas mehr Verweise auf Nachbardisziplinen wie die Medienwissenschaft wünschenswert gewesen, wo der italienische Medientheoretiker und Philosoph Matteo Pasquinelli mit seinem Aufsatz zur »Gesellschaft der Metadaten« ein Grundlagenkonzept erarbeitet hat. Auch das Konzept des digitalen Ungehorsams wirkt in der Gesamtschau etwas unterspezifiziert. Müllings Dissertation ist dennoch ein wichtiger Debattenbeitrag, der sich wohltuend vom Jargon der Politikwissenschaft abhebt und einem interessierten Fachpublikum empfohlen werden kann."
RSWK
Massendaten / Gewaltloser Widerstand
Soziale Bewegung
BK
05.20 Kommunikation und Gesellschaft
71.38 Soziale Bewegungen
70.03 Methoden, Techniken und Organisation der sozialwissenschaftlichen Forschung
DDC
320 / 23sdnb

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