Big Data and Democracy
Stephanie Gauttier، Christopher Zirnig، Hristina Veljanova، Anne Suphan، Harald Stelzer، Joe Saunders، Steve McKinlay، John MacWillie، Björn Lundgren، Wulf Loh، Dave Kinkead، Sarah M Hughes، Tim McFarland، Philip Garnett، Jai Galliott، Carl Fox، David M Douglas، Massimiliano Cappuccio، Thorsten Brønholt، Kevin Macnish، Ramón Alvarado، Kieron O'Hara، Tom Sorellقیمت نهایی
۴۹٬۰۰۰ تومان
نسخه اصلی و اورجینال
بلافاصله پس از خرید، فایل کتاب روی دستگاه شما آمادهٔ دانلود است.
تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی
مشخصات کتاب
- سال انتشار
- ۲۰۲۲
- فرمت
- زبان
- انگلیسی
- حجم فایل
- ۱٫۷ مگابایت
دربارهٔ کتاب
#### Considers the morality of using big data in the political sphere, covering cases from the Snowden leaks to the Brexit referendum * Investigates theories and recommendations for how to align the modern political process with the exponential rise in the availability of digital information * Opens new avenues for thinking about the philosophy and morality of social media, such as Facebook and Twitter, in the context of political decision-making * Sets out and objectively assesses the ‘opacity’ framework as an appropriate means of dealing with the challenges associated with big data and democracy What's wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples – including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world. #### Contributors **Ramón Alvarado**, University of Oregon, USA. **Thorsten Brønholt**, University of Copenhagen, Denmark. **David Douglas**, University of Twente, Netherlands. **Carl Fox**, University of Leeds, UK. **Jai Galliott**, Australian Defence Force Academy, University of New South Wales, Australia. **Phillip Garnett**, University of York, UK. **Stephanie Gauttier**, University of Twente, Netherlands. **Sarah Hughes**, Durham University, UK. **David Kinkead**, University of Queensland, Australia. **Wulf Loh**, University of Stuttgart, Germany. **Bjorn Lundgren**, Royal Institute of Technology (KTH), Stockholm, Sweden. **Kevin Macnish**, University of Twente, Netherlands. **John Macwillie**, California State University, East Bay (CSUEB), USA. **Steven Mckinlay**, Wellington Institute of Technology, New Zealand. **Kieron O’Hara**, University of Southampton, UK. **Joe Saunders**, Durham University, UK. **Tom Sorell**, University of Warwick, UK. **Harald Stelzer**, University of Graz, Austria. **Anne Suphan**, Hohenheim University, Germany. **Hristina Veljanova**, University of Graz, Austria. **Christopher Zirnig**, Hohenheim University, Germany. Considering the morality of using big data in the political sphere, this book tackles subjects such as what is wrong with targeted advertising in political campaigns and are echo chambers really a matter of genuine concern? Also examined are the impact of data collection on questions of trust in society and the problem of opacity: as decision-making becomes increasingly automated so it will become harder to hold decision-makers accountable. The contributors consider potential solutions to these challenges and discuss whether an ethical compass is available or even feasible in an ever more digitized and monitored world. The editors bring together original research on the philosophy of big data and democracy from leading international authors, along with recent examples and case references (including the 2016 Brexit referendum, the Leveson inquiry and the Edward Snowden leaks), and combine them in one authoritative volume What's wrong with targeted advertising in political campaigns? Are echo chambers a matter of genuine concern? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges.
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