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* The first book to take an interdisciplinary and international
approach to understanding how our everyday lives are being affected
by automated decision-making (ADM) * Showcases groundbreaking
research in this cutting-edge field but will also be accessible
enough to be useful for upper-level undergraduate and postgraduate
teaching * Covers a uniquely wide range of ADM technologies,
geographical and sociocultural contexts, and theoretical
perspectives not reflected in other ADM books which tend to focus
solely on the USA.
* The first book to take an interdisciplinary and international
approach to understanding how our everyday lives are being affected
by automated decision-making (ADM) * Showcases groundbreaking
research in this cutting-edge field but will also be accessible
enough to be useful for upper-level undergraduate and postgraduate
teaching * Covers a uniquely wide range of ADM technologies,
geographical and sociocultural contexts, and theoretical
perspectives not reflected in other ADM books which tend to focus
solely on the USA.
Why do we feel excited, afraid, and frustrated by algorithms? The
Feel of Algorithms brings relatable first-person accounts of what
it means to experience algorithms emotionally alongside
interdisciplinary social science research, to reveal how political
and economic processes are felt in the everyday. People’s
algorithm stories might fail to separate fact and misconception,
and circulate wishful, erroneous, or fearful views of digital
technologies. Yet rather than treating algorithmic folklore as
evidence of ignorance, this novel book explains why personal
anecdotes are an important source of algorithmic knowledge. Minna
Ruckenstein argues that we get to know algorithms by feeling their
actions and telling stories about them. The Feel of Algorithms
shows how taking everyday algorithmic emotions seriously balances
the current discussion, which has a tendency to draw conclusions
based on celebratory or oppositional responses to imagined future
effects. An everyday focus zooms into experiences of pleasure,
fear, and irritation, highlighting how political aims and ethical
tensions play out in visions, practices, and emotional responses.
This book shows that feelings aid in recognizing troubling
practices, and also calls for alternatives that are currently
ignored or suppressed.
Why do we feel excited, afraid, and frustrated by algorithms? The
Feel of Algorithms brings relatable first-person accounts of what
it means to experience algorithms emotionally alongside
interdisciplinary social science research, to reveal how political
and economic processes are felt in the everyday. People’s
algorithm stories might fail to separate fact and misconception,
and circulate wishful, erroneous, or fearful views of digital
technologies. Yet rather than treating algorithmic folklore as
evidence of ignorance, this novel book explains why personal
anecdotes are an important source of algorithmic knowledge. Minna
Ruckenstein argues that we get to know algorithms by feeling their
actions and telling stories about them. The Feel of Algorithms
shows how taking everyday algorithmic emotions seriously balances
the current discussion, which has a tendency to draw conclusions
based on celebratory or oppositional responses to imagined future
effects. An everyday focus zooms into experiences of pleasure,
fear, and irritation, highlighting how political aims and ethical
tensions play out in visions, practices, and emotional responses.
This book shows that feelings aid in recognizing troubling
practices, and also calls for alternatives that are currently
ignored or suppressed.
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