The information manifold: why computers can't solve algorithmic bias and fake news
Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the re...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, MA ; London, England
The MIT Press
[2019]
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| Schriftenreihe: | History and foundations of information science
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Zusammenfassung: | Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the real information please stand up? -- Is Shannon's theory a theory of information? -- Computers and information I : what can computers do? -- Computers and information II : machine learning, big data and algorithic bias -- Humans and information --Conclusions : where from here? |
| Beschreibung: | Literaturverzeichnis Seite [317]-331 |
| Beschreibung: | xvii, 334 Seiten |
| ISBN: | 9780262043038 |
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Datensatz im Suchindex
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| adam_text | Contents Acknowledgments ix Preface: The Information Dilemma 1 Introduction xi 1 1.1 This Is the Information/Data Age 1.2 How Did We Get Here? 1.3 Why Are These Concepts So Difficult 1.4 The Thesis of This Book to Define? 1 3 7 10 1 Perspectives 15 2 Information as Codes: Shannon, Kolmogorov, and the Start of It All 2.1 Codes 17 Shannon s Approach 17 Shannon s First Idea 2.1.1 Shannon s Second Idea 2.1.3 Information Theory 2.3 30 30 Channels, Noise, and Redundancy 2.2 20 2.1.2 Kolmogorov s Approach 33 36 2.2.1 Kolmogorov s Idea 2.2.2 Complexity and Information 36 Comparing Shannon and Kolmogorov 40 42
vi Contents 3 Information as Content: Semantics, Possible Worlds, and All That jazz 3.1 3.2 3.3 3.4 Possible Worlds 4 50 3.1.1 Information and Possible Worlds 3.1.2 Problems with Possible Worlds 3.2.1 Situations 3.2.2 3.2.3 Constraints 64 Information in Situation Theory 61 Knowledge and Information 66 69 3.3.1 Dretske s Definition of Information 3.3.2 The Weakest Link 77 The Philosophy of Information 83 Information and Data The Great Divide 70 83 88 Information as Pragmatics: Impact and Consequences 4.1 Beyond Truth Values 95 4.2 The Dynamics of Information 96 4.3 It s a Receiver s World, after All 4.3.1 Impact 100 102 4.3.2 Novelty versus Confirmation 4.3.3 The Issue of Goals 4.3.4 Pragmatic Approaches and Meaning 4.3.5 Pragmatic Approaches and Some Conclusions 106 110 Shannon/Kolmogorov 4.4 93 The Purpose of Pragmatics 93 4.1.1 5 54 56 Situations and Information 60 3.4.1 3.5 49 114 117 119 Information as Communication: Networks and the Phenomenon of Emergence 5.1 5.2 Introduction: Groups, Networks, and Their Relevance to Information 122 Information Dissemination on Groups 5.2.1 5.3 The Wisdom of Crowds Are the Networks Us? What about the Message? 145 124 128 Information Diffusion on Networks 5.3.1 5.4 121 139 132
Contents 5.5 6 vii Emergence Emergence in Action 5.5.2 Emergence and Information One Information by Many Names 6.1.1 6.2 7 152 156 Will the Real Information Please Stand Up? 6.1 II 150 5.5.1 Issues 165 166 Information and Communication Information and Its Discontents 174 176 189 Computers and Information I: What Can Computers Do? 7.1 What Computers Do 7.2 What Computers Cannot Do 198 7.2.1 Quantum Computing 203 7.3 The Semantic Web, the Social Web, and Other Webs 191 192 205 Computers and Information II: Machine Learning, Big Data, and Algorithmic Bias 215 8.1 Machine Learning 8.2 Big Data 228 8.2.1 Lies, Damned Lies, Statistics, and Big Data 8.2.2 The End of Theory? 237 8.3 215 Algorithmic Fairness 246 8.3.1 Big Data, Revisited 8.4 Fake News 260 8.5 Conclusion 265 Humans and Information 256 267 9.1 Introduction 9.2 Human Reasoning 268 9.2.1 Perception and Processing 9.3 267 9.2.2 Biases 9.2.3 Externalization 269 274 280 Are Humans Rational? 283 9.3.1 The Scientific Approach 290 231
viii Contents III Coda 297 10 Conclusions: Where from Here? 299 10.1 Questions Revisited (and Some Answers) 10.2 How This Affects Us 10.3 Final Thoughts References Name Index 317 333 314 309 300
The Information Manifold Why Computers Can’t Solve Algorithmic Bias and Fake News Antonio Badia Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information different ly; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information; syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske’s description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the pre vious one. The syntactic approach is the more general one, but it fails to specify when informa tion is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents. Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmat ic level (and at the network юѵѳі as a society), computers at the syntactic level. This sheds light on some recent issues, including “fake news (computers cannot tell whether a statement is to» or not, because truth is a semantic notion) and algorithmic
bias” (a pragmatic, not syntac tic concern). Humans, not computers, the book ■^juea, have the ability to solve these issues.
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| spelling | Badia, Antonio Verfasser (DE-588)113163652X aut The information manifold why computers can't solve algorithmic bias and fake news Antonio Badia Cambridge, MA ; London, England The MIT Press [2019] xvii, 334 Seiten txt rdacontent n rdamedia nc rdacarrier History and foundations of information science Literaturverzeichnis Seite [317]-331 Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the real information please stand up? -- Is Shannon's theory a theory of information? -- Computers and information I : what can computers do? -- Computers and information II : machine learning, big data and algorithic bias -- Humans and information --Conclusions : where from here? Information (DE-588)4026899-8 gnd rswk-swf Massenmedien (DE-588)4037877-9 gnd rswk-swf Informationsbeschaffung (DE-588)4132784-6 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Falschmeldung (DE-588)4294308-5 gnd rswk-swf Information science / Philosophy Communication / Philosophy Information theory Massenmedien (DE-588)4037877-9 s Soziologie (DE-588)4077624-4 s Informationsbeschaffung (DE-588)4132784-6 s Falschmeldung (DE-588)4294308-5 s DE-604 Information (DE-588)4026899-8 s Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031611065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031611065&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Badia, Antonio The information manifold why computers can't solve algorithmic bias and fake news Information (DE-588)4026899-8 gnd Massenmedien (DE-588)4037877-9 gnd Informationsbeschaffung (DE-588)4132784-6 gnd Soziologie (DE-588)4077624-4 gnd Falschmeldung (DE-588)4294308-5 gnd |
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| title | The information manifold why computers can't solve algorithmic bias and fake news |
| title_auth | The information manifold why computers can't solve algorithmic bias and fake news |
| title_exact_search | The information manifold why computers can't solve algorithmic bias and fake news |
| title_full | The information manifold why computers can't solve algorithmic bias and fake news Antonio Badia |
| title_fullStr | The information manifold why computers can't solve algorithmic bias and fake news Antonio Badia |
| title_full_unstemmed | The information manifold why computers can't solve algorithmic bias and fake news Antonio Badia |
| title_short | The information manifold |
| title_sort | the information manifold why computers can t solve algorithmic bias and fake news |
| title_sub | why computers can't solve algorithmic bias and fake news |
| topic | Information (DE-588)4026899-8 gnd Massenmedien (DE-588)4037877-9 gnd Informationsbeschaffung (DE-588)4132784-6 gnd Soziologie (DE-588)4077624-4 gnd Falschmeldung (DE-588)4294308-5 gnd |
| topic_facet | Information Massenmedien Informationsbeschaffung Soziologie Falschmeldung |
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