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Introduction ix 1 The Information Apocalypse 1 The Media Landscape-Decades in Decline 1 Communicating the Wisdom of Others 2 Libraries as a Source of Truth 4 Newspapers in America 7 To the Moon 9 The Internet (Obviously) 11 Trusted Institutions 14 Influencers, Your New Neighbors 15 The Noise of the Infodemic 20 2 The Negotiated Truth 23 What the Newspapers Left Out 25 The Whole Story 27 When Truth Needs a Referee 29 What Is Truth? 31 Is the Moon Real? Is the Earth Flat? 33 To the Moon 36 A Simpler Explanation 38 Alternative Facts 40 Negotiating Truth 43 3 Open Your Eyes 47 If You Can Dream It. . . 47 Natural-Born Instincts 49 Picture This 53 I Do Recall 57 Noise and Judgment 62 4 Can a Computer Know Your Vulnerability? 67 Emotional Algorithms 67 Concern or Legitimate Risk? 68 Signals 70 Personalization Engines 72 Exploitation Mechanism 79 The Scale Problem Solved 82 5 When Certainty Fails 87 You Are Not Helpless, and Neither Is the Truth 87 Anchors in an Ocean 90 Embrace Uncertainty 91 Source over Content 93 Recognize the Noise 94 Identifying the Rush 95 Compensation and Incentives 98 A Different Kind of Journalist 101 6 Empowering You 107 The Verification Moment 107 AI vs. AI: The Technology Arms Race 108 How Detection Works 111 Five Stages 113 Steering the Algorithms 116 Early Morning 117 7 You Are the Target 121 The Digital Twin You Never Met 122 Finding Your Friends 123 Personalized Reality Machine 127 Invisible Feedback Loops 128 A Newsstand of Information 130 Data Ecosystem Beyond the Feed 131 A Different Worldview 134 8 Community and Collective Intelligence 139 Our Shared Reality 139 The Limits of Centralized Control 142 Promise and Hope in Crowdsourced Verification 147 When Collective Intelligence Fails 154 9 Global Scramble for AI Rules 159 The Brussels Effect 159 The Power of AI 160 Three Global Models, No Consensus 166 The Exploits of Regulation 170 Self-Regulation by Default 176 10 Living in the Noise 183 In the Room 183 This Is Not Normal 187 The Weight of It All 189 Truth, Eventually 192 Acknowledgments 197 About the Author 201 Index 203 |
DEREK W. GIBSON is a former Executive Director and VP of Analytics at Wells Fargo, where he led teams on data management and customer behavior analytics using advanced statistics. He serves on the Wake Forest University MS Business Analytics advisory board and teaches graduate-level courses on AI strategy, implementation frameworks, and ethical considerations. Gibson regularly speaks to emerging data scientists and trains 500 to 1,000 professionals annually through his consulting work.