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Acknowledgements |
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Introduction: Investigating Google's search engine |
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1 | (20) |
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2 | (2) |
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The three steps of how search engines work: Crawling, ranking, and query results |
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4 | (6) |
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4 | (1) |
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4 | (4) |
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8 | (2) |
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Five key challenges of studying Google's search engine |
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10 | (5) |
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One Multiple actors: Search engine optimization and economic incentives |
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11 | (1) |
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11 | (1) |
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Three Each search a partial viewpoint |
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12 | (1) |
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Four No real alternatives |
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13 | (1) |
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Five The myth of black boxes |
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14 | (1) |
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15 | (3) |
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Chapter 1 Understanding Google queries and the problem of intentions |
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16 | (1) |
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Chapter 2 Google's impact on cognition and memory: Histories, concepts, and technosocial practices |
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16 | (1) |
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Chapter 3 Autocomplete: Stereotypes, biases, and designed discrimination |
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17 | (1) |
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Chapter 4 Google's search engine results: What is a relevant result? |
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17 | (1) |
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Chapter 5 The real cost of search engines: Digital advertising, linguistic capitalism, and the rise of fake news |
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18 | (1) |
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18 | (3) |
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1 Understanding Google queries and the problem of intentions |
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21 | (28) |
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21 | (2) |
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Categorizing how and what people search |
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23 | (1) |
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The roles of search engines and information retrieval's question of why |
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24 | (4) |
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Query length and the problems of intention |
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28 | (2) |
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All information is ethical: Searching for [ food for snakes] |
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30 | (2) |
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Predicting intentions with a lack of information: Plato, Gadamer, and Derrida |
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32 | (3) |
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Gadamer's hermeneutics and Plato's fears of deception |
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35 | (3) |
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Google's algorithms and Derrida's monster |
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38 | (2) |
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What kinds of things do people search Google for? |
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40 | (2) |
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Google trends, Brexit, and frantically googling after the EU referendum |
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42 | (5) |
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47 | (2) |
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2 Google's impact on cognition and memory: Histories, concepts, and technosocial practices |
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49 | (30) |
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49 | (1) |
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Google's impact on cognition and memory |
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50 | (4) |
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Kinds of recall from extended minds to transactive memory |
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54 | (3) |
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Technosocial memory practices from oral culture to digital literacy |
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57 | (3) |
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The legacy of naturalized technologies |
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60 | (2) |
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Truth and knowledge for Plato |
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62 | (2) |
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Aristotle's sensory approach |
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64 | (1) |
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Technosocial memory before Google: The Ars Memoria |
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65 | (3) |
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The science and magic of search |
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68 | (5) |
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Treating the mind as technology: Bacon, Hooke, and modern psychology |
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73 | (4) |
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77 | (2) |
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3 Autocomplete: Stereotypes, biases, and designed discrimination |
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79 | (50) |
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79 | (3) |
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The desire for a digital oracle |
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82 | (3) |
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Autocomplete's minimal academic attention |
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85 | (3) |
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The biases of Autocomplete: Stereotypes and discrimination |
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88 | (5) |
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Predicting and shaping user attitudes: The origins of Autocomplete |
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93 | (2) |
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So, how does Autocomplete operate? |
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95 | (2) |
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Second-order stereotyping. Sexist suggestions for female scientists |
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97 | (7) |
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Rank Brain and the biases of machine learning |
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104 | (9) |
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Automated misogyny for every individual |
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113 | (3) |
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116 | (4) |
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Speed and judgement: Time to reflect |
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120 | (6) |
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126 | (3) |
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4 Google's search engine results: What is a relevant result? |
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129 | (52) |
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129 | (2) |
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`Quantifiable signals' and Malawian witch doctors |
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131 | (1) |
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What should search engine results be? |
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132 | (2) |
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The Idealists: Search is democratic, relevance can be measured objectively, and answers can exist independently of bias |
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134 | (2) |
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The difficulty with measuring relevance |
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136 | (3) |
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The Contextualists: Search is undemocratic, relevance is a measure of personalization, and all answers are inherendy biased |
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139 | (2) |
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Are search results personalized? |
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141 | (2) |
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Methodological challenges of studying search engines |
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143 | (1) |
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Particular considerations for collecting search engine results |
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144 | (2) |
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Variables that matter: Search experiments in 2015, 2017, and 2021 |
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146 | (1) |
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The rationale behind focusing on same-sex sexual orientation |
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146 | (2) |
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148 | (1) |
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Capturing the spread of results from the first page |
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149 | (1) |
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150 | (1) |
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Google's public position on how they provide results |
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150 | (5) |
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155 | (6) |
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How do variations in terminology and phrasing alter search results? |
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161 | (5) |
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166 | (1) |
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How search results change throughout time: 2015, 2017, and 2021 |
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167 | (1) |
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Longitudinal overview: Official languages in each domain |
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168 | (5) |
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Terminology throughout time: `Homosexual' versus'ga |
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173 | (4) |
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Phrasing throughout time: `Good' versus `wrong' |
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177 | (2) |
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179 | (2) |
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5 The real cost of search engines: Digital advertising, linguistic capitalism, and the rise of fake news |
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181 | (32) |
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181 | (1) |
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182 | (2) |
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The context of post-Fordism |
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184 | (1) |
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AdWords: Organic versus sponsored results |
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185 | (2) |
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AdWords: The multilingual linguistic market and an economy of bias |
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187 | (4) |
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Google's institutionalization, data collection, and advertising |
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191 | (2) |
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AdWords in the context of `The Magic System' |
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193 | (2) |
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AdWords and the general intellect |
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195 | (2) |
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The economic profits of discrimination |
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197 | (3) |
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Private profits and public losses |
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200 | (2) |
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Google's international expansion |
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202 | (1) |
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AdSense and post-Fordism: The cost of Google's billboards |
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203 | (1) |
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AdSense and fake news in the 2016 |
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204 | (3) |
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The reciprocal relationship between AdSense and Facebook |
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207 | (4) |
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211 | (2) |
Conclusion: What if search engines were actually built to benefit users? |
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213 | (4) |
Bibliography |
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217 | (17) |
Index |
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