Against the Hypothesis of the End of Privacy: An Agent-Based Modelling Approach

Description: Against the Hypothesis of the End of Privacy by Paola Tubaro, Antonio A. Casilli, Yasaman Sarabi Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Several prominent public voices have advanced the hypothesis that networked communications erode the value of privacy in favor of a transparent connected existence. Publisher Description Several prominent public voices have advanced the hypothesis that networked communications erode the value of privacy in favor of a transparent connected existence. Especially younger generations are often described as prone to live "open digital lives". This hypothesis has raised considerable controversy, polarizing the reaction of its critics as well as of its partisans. But how likely is the "end of privacy"? Under which conditions might this scenario come to be? What are the business and policy implications? How to ethically assess risks and opportunities? To shed light on the co-evolution and mutual dependencies of networked structures and individual and collective strategies towards privacy, this book innovatively uses cutting-edge methods in computational social sciences to study the formation and maintenance of online social networks. The findings confound common arguments and clearly indicate that Internet and social media do not necessarily entail the end of privacy. Publicity is not "the new norm": quite to the contrary, the book makes the case that privacy is a resilient social force, resulting from a set of interconnected behaviors of Internet users. Author Biography Paola Tubaro is a senior lecturer at the Business School of the University of Greenwich in London, UK, and an associate researcher at Centre Maurice Halbwachs (Centre National de la Recherche Scientifique), Paris, France. She is a specialist in social and organizational network analysis.Antonio A. Casilli is an associate professor at Telecom Paristech (Institut Mines-Télecom) and a researcher at the EHESS (School for Advanced Studies in Social Sciences), Paris, France. His latest book is Les liaisons numériques (Digital relationships), Seuil, Paris, 2010.Yasaman Sarabi is a doctoral candidate at the Business School of the University of Greenwich in London, UK. Her research is focused on business network analysis of multinational private water companies. Details ISBN 3319024558 ISBN-13 9783319024554 Title Against the Hypothesis of the End of Privacy Author Paola Tubaro, Antonio A. Casilli, Yasaman Sarabi Format Paperback Year 2013 Pages 57 Edition 2014th Publisher Springer International Publishing AG GE_Item_ID:140278587; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-02-22T03:49:50.000Z

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