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15 matches in All Departments
As people spend increasing proportions of their daily lives using
social media, such as Twitter and Facebook, they are being invited
to support myriad political causes by sharing, liking, endorsing,
or downloading. Chain reactions caused by these tiny acts of
participation form a growing part of collective action today, from
neighborhood campaigns to global political movements. Political
Turbulence reveals that, in fact, most attempts at collective
action online do not succeed, but some give rise to huge
mobilizations--even revolutions. Drawing on large-scale data
generated from the Internet and real-world events, this book shows
how mobilizations that succeed are unpredictable, unstable, and
often unsustainable. To better understand this unruly new force in
the political world, the authors use experiments that test how
social media influence citizens deciding whether or not to
participate. They show how different personality types react to
social influences and identify which types of people are willing to
participate at an early stage in a mobilization when there are few
supporters or signals of viability. The authors argue that
pluralism is the model of democracy that is emerging in the social
media age--not the ordered, organized vision of early pluralists,
but a chaotic, turbulent form of politics. This book demonstrates
how data science and experimentation with social data can provide a
methodological toolkit for understanding, shaping, and perhaps even
predicting the outcomes of this democratic turbulence.
As people spend increasing proportions of their daily lives using
social media, such as Twitter and Facebook, they are being invited
to support myriad political causes by sharing, liking, endorsing,
or downloading. Chain reactions caused by these tiny acts of
participation form a growing part of collective action today, from
neighborhood campaigns to global political movements. Political
Turbulence reveals that, in fact, most attempts at collective
action online do not succeed, but some give rise to huge
mobilizations--even revolutions. Drawing on large-scale data
generated from the Internet and real-world events, this book shows
how mobilizations that succeed are unpredictable, unstable, and
often unsustainable. To better understand this unruly new force in
the political world, the authors use experiments that test how
social media influence citizens deciding whether or not to
participate. They show how different personality types react to
social influences and identify which types of people are willing to
participate at an early stage in a mobilization when there are few
supporters or signals of viability. The authors argue that
pluralism is the model of democracy that is emerging in the social
media age--not the ordered, organized vision of early pluralists,
but a chaotic, turbulent form of politics. This book demonstrates
how data science and experimentation with social data can provide a
methodological toolkit for understanding, shaping, and perhaps even
predicting the outcomes of this democratic turbulence.
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Found (Paperback)
Michael Scott Hale
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R414
R344
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In Sheep's Skin (Paperback)
Scott Hale; Illustrated by Hannah Graff; Edited by Dawn Lewis
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The Three Heretics (Paperback)
Scott Hale; Illustrated by Hannah Graff; Edited by Jacqueline Kibby
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R528
Discovery Miles 5 280
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