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With pervasive use of mobile devices and social media, there is a
constant tension between the promise of new forms of social
engagement and the threat of misuse and misappropriation, or the
risk of harm and harassment. Negotiating Digital Citizenship
explores the diversity of experiences that define digital
citizenship. These range from democratic movements that advocate
social change via social media platforms to the realities of online
abuse, racial or sexual intolerance, harassment and stalking. Young
people, educators, social service providers and government
authorities have become increasingly enlisted in a new push to
define and perform 'good' digital citizenship, yet there is little
consensus on what this term really means and sparse analysis of the
vested interests that drive its definition. The chapters probe the
idea of digital citizenship, map its use among policy makers,
educators, and activists, and identify avenues for putting the
concept to use in improving the digital environments and digitally
enabled tenets of contemporary social life. The components of
digital citizenship are dissected through questions of control over
our online environments, the varieties of contest and activism and
possibilities of digital culture and creativity.
This open access book provides practical guidance for non-profits
and community sector organisations about how to get started with
data analytics projects using their own organisations' datasets and
open public data. The book shares best practices on collaborative
social data projects and methodology. For researchers, the work
offers a playbook for partnering with community organisations in
data projects for public good and gives worked examples of projects
of various sizes and complexity.
With pervasive use of mobile devices and social media, there is a
constant tension between the promise of new forms of social
engagement and the threat of misuse and misappropriation, or the
risk of harm and harassment. Negotiating Digital Citizenship
explores the diversity of experiences that define digital
citizenship. These range from democratic movements that advocate
social change via social media platforms to the realities of online
abuse, racial or sexual intolerance, harassment and stalking. Young
people, educators, social service providers and government
authorities have become increasingly enlisted in a new push to
define and perform 'good' digital citizenship, yet there is little
consensus on what this term really means and sparse analysis of the
vested interests that drive its definition. The chapters probe the
idea of digital citizenship, map its use among policy makers,
educators, and activists, and identify avenues for putting the
concept to use in improving the digital environments and digitally
enabled tenets of contemporary social life. The components of
digital citizenship are dissected through questions of control over
our online environments, the varieties of contest and activism and
possibilities of digital culture and creativity.
Automating Vision explores the rise of seeing machines through four
case studies: facial recognition, drone vision, mobile and locative
media and driverless cars. Proposing a conceptual lens of camera
consciousness, which is drawn from the early visual anthropology of
Gregory Bateson and Margaret Mead, Automating Vision accounts for
the growing power and value of camera technologies and digital
image processing. Behind the smart camera devices examined
throughout the book lies a set of increasingly integrated and
automated technologies underpinned by artificial intelligence,
machine learning and image processing. Seeing machines are now
implicated in growing visual data markets and are supported by
emerging layers of infrastructure that they coproduce. In this
book, Anthony McCosker and Rowan Wilken address the social impacts,
the disruptions and reconfigurations to existing digital media
ecosystems, to urban environments and to mobility and social
relations that result from the increasing automation of vision and
explore how it might be possible to ensure a safe and equitable
future as we learn to see with and negotiate the interventions of
seeing machines. This book will appeal to students and scholars in
media, communication, cultural studies, sociology of media and
science and technology studies. More resources for the book can be
found at https://www.anthonymccosker.com/automating-vision.
Automating Vision explores the rise of seeing machines through four
case studies: facial recognition, drone vision, mobile and locative
media and driverless cars. Proposing a conceptual lens of camera
consciousness, which is drawn from the early visual anthropology of
Gregory Bateson and Margaret Mead, Automating Vision accounts for
the growing power and value of camera technologies and digital
image processing. Behind the smart camera devices examined
throughout the book lies a set of increasingly integrated and
automated technologies underpinned by artificial intelligence,
machine learning and image processing. Seeing machines are now
implicated in growing visual data markets and are supported by
emerging layers of infrastructure that they coproduce. In this
book, Anthony McCosker and Rowan Wilken address the social impacts,
the disruptions and reconfigurations to existing digital media
ecosystems, to urban environments and to mobility and social
relations that result from the increasing automation of vision and
explore how it might be possible to ensure a safe and equitable
future as we learn to see with and negotiate the interventions of
seeing machines. This book will appeal to students and scholars in
media, communication, cultural studies, sociology of media and
science and technology studies. More resources for the book can be
found at https://www.anthonymccosker.com/automating-vision.
This open access book provides practical guidance for non-profits
and community sector organisations about how to get started with
data analytics projects using their own organisations' datasets and
open public data. The book shares best practices on collaborative
social data projects and methodology. For researchers, the work
offers a playbook for partnering with community organisations in
data projects for public good and gives worked examples of projects
of various sizes and complexity.
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