Decoding the social world : data science and the unintended consequences of communication
書誌情報:Decoding the social world : data science and the unintended consequences of communication
Sandra González-Bailón
Cambridge : MIT Press , 2017
1 online resource (xxiv, 231 p.)
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https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8278549
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書誌詳細
刊年2017
G/SMDリモートファイル
形態1 online resource (xxiv, 231 p.)
シリーズ名Information policy series
注記Includes bibliographical references and index
Introduction: decoding the social world -- Old puzzles, new evidence -- The effervescence of collective behavior -- The social logic of influence -- Networks and social distance -- Communication in space -- Designing policy and action -- Conclusions: questions for now and the future
Restricted to subscribers or individual electronic text purchasers
Social life is full of paradoxes. Our intentional actions often trigger outcomes that we did not intend or even envision. How do we explain those unintended effects and what can we do to regulate them? In Decoding the Social World, Sandra González-Bailón explains how data science and digital traces help us solve the puzzle of unintended consequences -- offering the solution to a social paradox that has intrigued thinkers for centuries. Communication has always been the force that makes a collection of people more than the sum of individuals, but only now can we explain why: digital technologies have made it possible to parse the information we generate by being social in new, imaginative ways. And yet we must look at that data, González-Bailón argues, through the lens of theories that capture the nature of social life. The technologies we use, in the end, are also a manifestation of the social world we inhabit. González-Bailón discusses how the unpredictability of social life relates to communication networks, social influence, and the unintended effects that derive from individual decisions. She describes how communication generates social dynamics in aggregate (leading to episodes of'collective effervescence') and discusses the mechanisms that underlie large-scale diffusion, when information and behavior spread'like wildfire.'She applies the theory of networks to illuminate why collective outcomes can differ drastically even when they arise from the same individual actions. By opening the black box of unintended effects, González-Bailón identifies strategies for social intervention and discusses the policy implications -- and how data science and evidence-based research embolden critical thinking in a world that is constantly changing
How data science and the analysis of networks help us solve the puzzle of unintended consequences
Also available in print
Mode of access: World Wide Web
Description based on print version record
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8278549(Abstract with links to resource)
出版国アメリカ合衆国
標題言語英語
本文言語英語
著者情報González-Bailón, Sandra
ISBN9780262343459(: electronic bk)
無効/取消ISBN9780262037075(: electronic bk)
件名LCSH:Digitalcommunications
LCSH:Digitalmedia
LCSH:Socialproblems
LCSH:Problemsolving
NCID8278549
IDENThttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8278549

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