Data Versus Democracy: How Big Data Algorithms Shape Opinions and Alter the Course of History (Paperback)
暫譯: 數據與民主：大數據算法如何塑造觀點並改變歷史進程 (平裝本)

Shaffer, Kris

Data Versus Democracy: How Big Data Algorithms Shape Opinions and Alter the Course of History (Paperback)

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商品描述

Human attention is in the highest demand it has ever been. The drastic increase in available information has compelled individuals to find a way to sift through the media that is literally at their fingertips. Content recommendation systems have emerged as the technological solution to this social and informational problem, but they've also created a bigger crisis in confirming our biases by showing us only, and exactly, what it predicts we want to see. Data versus Democracy investigates and explores how, in the era of social media, human cognition, algorithmic recommendation systems, and human psychology are all working together to reinforce (and exaggerate) human bias. The dangerous confluence of these factors is driving media narratives, influencing opinions, and possibly changing election results.
In this book, algorithmic recommendations, clickbait, familiarity bias, propaganda, and other pivotal concepts are analyzed and then expanded upon via fascinating and timely case studies: the 2016 US presidential election, Ferguson, GamerGate, international political movements, and more events that come to affect every one of us. What are the implications of how we engage with information in the digital age? Data versus Democracy explores this topic and an abundance of related crucial questions. We live in a culture vastly different from any that has come before. In a society where engagement is currency, we are the product. Understanding the value of our attention, how organizations operate based on this concept, and how engagement can be used against our best interests is essential in responsibly equipping ourselves against the perils of disinformation.


Who This Book Is For
Individuals who are curious about how social media algorithms work and how they can be manipulated to influence culture. Social media managers, data scientists, data administrators, and educators will find this book particularly relevant to their work.

 

商品描述(中文翻譯)

人類的注意力需求達到了前所未有的高度。可用資訊的急劇增加迫使個人尋找方法來篩選觸手可及的媒體。內容推薦系統作為解決這一社會和資訊問題的技術方案應運而生，但它們也造成了更大的危機，因為它們僅僅顯示出我們想要看到的內容，從而確認了我們的偏見。《數據與民主》探討了在社交媒體時代，人類認知、算法推薦系統和人類心理如何共同作用以加強（並誇大）人類的偏見。這些因素的危險交匯正在推動媒體敘事、影響意見，並可能改變選舉結果。

在本書中，算法推薦、點擊誘餌、熟悉性偏見、宣傳以及其他關鍵概念被分析，並通過引人入勝且及時的案例研究進一步擴展：2016年美國總統選舉、弗格森事件、GamerGate、國際政治運動，以及其他影響我們每一個人的事件。我們在數位時代如何與資訊互動的含義是什麼？《數據與民主》探討了這一主題以及大量相關的關鍵問題。我們生活在一個與以往任何文化截然不同的社會中。在一個參與即貨幣的社會裡，我們就是產品。理解我們注意力的價值、組織如何基於這一概念運作，以及如何利用參與來損害我們的最佳利益，對於負責任地保護自己免受虛假資訊的危害至關重要。

這本書適合誰閱讀
對社交媒體算法如何運作以及如何被操控以影響文化感到好奇的個人。社交媒體經理、數據科學家、數據管理員和教育工作者會發現這本書與他們的工作特別相關。

作者簡介

Kris Shaffer, Ph.D., is a data scientist and Senior Computational Disinformation Analyst for New Knowledge. He co-authored "The Tactics and Tropes of the Internet Research Agency," a report prepared for the United States Senate Select Committee on Intelligence about Russian interference in the 2016 US presidential election on social media. He has consulted for multiple US government agencies, non-profits, and universities on matters related to digital disinformation, data ethics, and digital pedagogy.
In a former (professional) life, Kris was an academic and digital humanist. He has taught courses in music theory and cognition, computer science, and digital studies at Yale University, University of Colorado-Boulder, University of Mary Washington, and Charleston Southern University. He holds a PhD from Yale University.

作者簡介(中文翻譯)

Kris Shaffer, Ph.D.，是 New Knowledge 的數據科學家及高級計算虛假信息分析師。他共同撰寫了《網絡研究機構的戰術與手法》（The Tactics and Tropes of the Internet Research Agency），這是一份為美國參議院情報特別委員會準備的報告，內容關於俄羅斯在2016年美國總統選舉中對社交媒體的干預。他曾為多個美國政府機構、非營利組織和大學提供有關數位虛假信息、數據倫理和數位教學法的諮詢。

在他之前的（專業）生涯中，Kris 是一位學者和數位人文學者。他曾在耶魯大學、科羅拉多大學博爾德分校、瑪麗華盛頓大學和查爾斯頓南方大學教授音樂理論與認知、計算機科學和數位研究的課程。他擁有耶魯大學的博士學位。

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