Investigating Google's search engine : ethics, algorithms, and the machines built to read us /: ethics, algorithms, and the machines built to read us. (2022)

• Record Type: Book
• Further Information: Note: Rosie Graham.
• Authors: Graham, Rosie, 1990-
• Contents: Introduction: Investigating Google's Search Engine 1.0 Google's Dominance 2.0 The Three Steps of How Search Engines Work: Crawling, Ranking, and Query Results 1.1 Step One: Crawling 1.2. Step Two: Ranking1.3 Step Three: Query Results 3.0 Five Key Challenges of Studying Google's Search Engine 3.1: Multiple Actors: Search Engine Optimisation and Economic Incentives3.2: Moving Targets3.3: Each Search a Partial Viewpoint3.4: No Real Alternatives3.5: The Myth of Black Boxes 4.0 Chapter Outlines 5.0 Notation and Examples Chapter One: Understanding Google Queries and the Problem of Intentions Introduction 1.0 Categorising How and What People Search1.1 The Roles of Search Engines and Information Retrieval's Question of Why1.2 Query Length and the Problems of Intention1.3 All Information is Ethical: Searching for [food for snakes] 2.0 Predicting Intentions with a Lack of Information: Plato, Gadamer, and Derrida2.1 Gadamer's Hermeneutics and Plato's Fears of Deception2.2 Google's Algorithms and Derrida's Monster 3.0 What Kinds of Things Do People Search Google For?3.1 Google Trends, Brexit, and 'Frantically' Googling after the EU Referendum Conclusion Chapter Two: Google's Impact on Cognition and Memory: Histories, Concepts, and Technosocial Practices Introduction 1.0 Google's Impact on the Cognition and Memory1.1 Metaphors of Recall from Extended Minds to Transactive Memory 2.0 Technosocial Memory Practices from Oral Culture to Digital Literacy 3.0 The Legacy of Naturalised Technologies3.1 Truth and Knowledge for Plato3.2 Aristotle's Sensory Approach 4.0 Technosocial Memory Before Google: The Ars Memoria 4.1 The Science and Magic of Search 5.0 Treating the Mind as Technology: Bacon, Hooke, and Modern Psychology Conclusion Chapter Three:Autocomplete: Stereotypes, Biases, and Designed Discrimination Introduction 1.0 The Desire for a Digital Oracle1.1 Autocomplete's Minimal Academic Attention 2.0 The Biases of Autocomplete: Stereotypes and Discrimination 3.0 Predicting and Shaping User Attitudes: The Origins of Autocomplete3.1 So, How Does Autocomplete Operate? 4.0 Second-Order Stereotyping: Sexist Suggestions for Female Scientists 4.1 RankBrain and the Biases of Machine Learning 4.2 Automated Misogyny for Every Individual 5.0 Speed5.1 Speed and Judgment: Time to Reflect Conclusion Chapter Four:Google's Search Engine Results: What is a Relevant Result? Introduction 1.0 'Quantifiable Signals' and Malawian Witch Doctors 2.0 What Should Search Engine Results Be? 2.1 The Idealists: Search Is Democratic, Relevance Can Be Measured Objectively, and Answers Can Exist Independently of Bias2.2 The Difficulty with Measuring Relevance2.3 The Contextualists: Search Is Undemocratic, Relevance Is a Measure of Personalisation, and All Answers Are Inherently Biased2.4 Are Search Results Personalised? 3.0 Methodological Challenges of Studying Search Engines 3.1 Particular Considerations for Collecting Search Engine Results 4.0 Variables that Matter: Search Experiments in 2015, 2017, and 20214.1 The Rationale Behind Focusing on Same-Sex Sexual Orientation4.2 Queries Used4.3 Capturing the Spread of Results from the First Page4.4 Evaluation Method 5.0 Google's Public Position on How They Provide Results 6.0 The Importance of Language and Location in Search Results (2015) 6.1 How Do Variations in Terminology and Phrasing Alter Search Results?6.2 Unimaginable Communities 7.0 How Search Results Change Throughout Time: 2015, 2017, 2021 7.1 Longitudinal Overview: Official Languages in Each Domain7.2 Terminology Throughout Time: 'Homosexual' vs. 'Gay'6.3 Phrasing Throughout Time: 'Good' vs. 'Wrong' Conclusion Chapter Five:The Real Cost of Search Engines: Digital Advertising, Linguistic Capitalism, and the Rise of Fake News Introduction 1.0 The Economics of Google 2.0 The Context of Post-Fordism 3.0 AdWords: Organic vs. Sponsored Results 3.1 AdWords: The Multilingual Linguistic Market and an Economy of Bias 3.2 Google's Institutionalisation, Data-Collection, and Advertising 3.3 AdWords in the Context of 'The Magic System' 3.4 AdWords and the General Intellect 4.0 The Economic Profits of Discrimination 5.0 Private Profits and Public Loses5.1 Google's International Expansion 6.0 AdSense and Post-Fordism: The Cost of Google's Billboards 6.1 AdSense and Fake News in the 2016 US Presidential Election 6.2 The Reciprocal Relationship Between AdSense and Facebook Conclusion Conclusion: What if Search Engines Were Actually Built to Benefit Users?.
• Publisher Details: London : Bloomsbury Academic
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 025.04252; Web search engines; Web search engines -- Social aspects; Web search engines -- Moral and ethical aspects; Internet searching; Internet searching -- Social aspects; Internet searching -- Moral and ethical aspects
• Languages: English
• ISBNs: 9781350325227
• Related ISBNs: 9781350325210
• Notes: Note: Description based on CIP data; resource not viewed.
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