If...ThenAlgorithmic Power and Politics
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Zusammenfassungen
We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choose the media products we consume. As such, we live algorithmic lives. Life, however, is not blindly controlled or determined by algorithms. Nor are we simply victims of an ever-expanding artificial intelligence. Rather than looking at how technologies shape or are shaped by political institutions, this book is concerned with the ways in which informational infrastructure may be considered political in its capacity to shape social and cultural life. It looks specifically at the conditions of algorithmic life — how algorithms work, both materially and discursively, to create the conditions for sociality and connectivity. The book argues that the most important aspect of algorithms is not what they are in terms of their specific technical details but rather how they become part of social practices and how different people enlist them as powerful brokers of information, communication and society. If we truly want to engage with the promises of automation and predictive analytics entailed by the promises of "big data", we also need to understand the contours of algorithmic life that condition such practices. Setting out to explore both the specific uses of algorithms and the cultural forms they generate, this book offers a novel understanding of the power and politics of algorithmic life as grounded in case studies that explore the material-discursive dimensions of software.
Dieses Buch erwähnt ...
![]() Personen KB IB clear | Ross Ashby , Solon Barocas , David M. Berry , Michel Callon , A. V. Cicourel , Martin Dodge , Pedro Domingos , Luciano Floridi , Michel Foucault , Matthew Fuller , David Golumbia , Mark B. N. Hansen , Donna Haraway , Rob Kitchin , Karin Knorr-Cetina , Bruno Latour , Steven Levy , Adrian Mackenzie , Lev Manovich , Marshall McLuhan , Marvin Minsky , Seymour Papert , Eli Pariser , Frank Pasquale , Jürgen Schmidhuber , Andrew D. Selbst , Sherry Turkle , José van Dijck , Norbert Wiener | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() Begriffe KB IB clear | Affordance Affordance
, Akteur-Netzwerk-Theorie (ANT)Actor-network theory
, Alexa
, ALGOL
, algorithmic bias
, Algorithmus algorithm
, amazon
, Apple
, Autonomieautonomy
, bias
, big data big data
, Categorization Categorization
, Chat chat
, computational thinkingcomputational thinking
, Computer computer
, CyborgCyborg
, Daten data
, Datenbank database
, deep learning
, E-Learning E-Learning
, Entscheidungsproblem
, Epistemologie (Erkenntnistheorie)epistemology
, facebook
, Fake-News
, Filterfilter
, Filterblase
, Generative Machine-Learning-Systeme (GMLS) computer-generated text
, Geschäftsmodell business model
, Gesellschaft society
, Gesichtserkennung face recognition
, Google
, Google Flu
, Informationinformation
, Innovation innovation
, Instagram
, Künstliche Intelligenz (KI / AI) artificial intelligence
, Kybernetikcybernetics
, last.fm
, Microsoft
, netflix
, Netflix Prize
, Offenheit openness
, Ontologieontology
, PersonalisierungPersonalization
, Philosophie philosophy
, Plagiarismus plagiarism
, Politik politics
, postfaktisch
, Predictive Analytics Predictive Analytics
, Programmieren programming
, Programmiersprachenprogramming languages
, Ranking
, semi-supervised learning
, snapchat
, social media / Soziale Medien social networking software
, Software software
, Spracherkennungvoice recognition
, Statistik statistics
, supervised learning
, Taylorismustaylorism
, Technologie technology
, Tinder
, Weblogs blogging
, YouTube
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![]() Texte |
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Dieses Buch erwähnt vermutlich nicht ... 
![]() Nicht erwähnte Begriffe | blockbasierte Programmierumgebungen, Chat-GPT, Digitalisierung, GMLS & Bildung, Internet, reinforcement learning, Siri, Sprachassistenten, Tiktok, Twitter, unsupervised learning, Weblogs in education |
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Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. (das er aber aus Urheberrechtsgründen nicht einfach weitergeben darf). Aufgrund der vielen Verknüpfungen im Biblionetz scheint er sich intensiver damit befasst zu haben. Es gibt bisher nur wenige Objekte im Biblionetz, die dieses Werk zitieren. Beat selbst sagt, er habe dieses Dokument nicht gelesen.

Affordance
Algorithmus
amazon
Apple
bias
big data
Categorization
Chat
Computer
Daten
Datenbank
deep learning
E-Learning
facebook
Fake-News
Generative Machine-Learning-Systeme (GMLS)
Geschäftsmodell
Gesellschaft
Gesichtserkennung
Google
Innovation
Instagram
Künstliche Intelligenz (KI / AI)
Microsoft
Offenheit
Philosophie
Plagiarismus
Politik
postfaktisch
Predictive Analytics
Programmieren
Ranking
snapchat
social media / Soziale Medien
Software
Statistik
Technologie
Tinder
Weblogs
YouTube


, 1391 kByte) 



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