| Acknowledgments |
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ix | |
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xi | |
| Introduction: How to See One Billion Images |
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1 | (22) |
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Looking at Culture with Computers |
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2 | (5) |
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Cultural Analytics: Five Ideas |
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7 | (6) |
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Cultural Analytics: Twelve Research Challenges |
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13 | (3) |
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What Cultural Analytics Is Not |
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16 | (1) |
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Cultural Analytics, Media Theory, and Software Studies |
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17 | (2) |
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Using This Book in Classes |
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19 | (4) |
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I Studying Culture at Scale |
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23 | (50) |
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1 From New Media To More Media |
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25 | (14) |
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"From New Media to More Media" (2008) |
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28 | (3) |
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Observing Global Culture in Real Time |
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31 | (4) |
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Cultural Analytics in Historical Context |
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35 | (4) |
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2 The Science Of Culture? |
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39 | (14) |
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Analyzing, Visualizing, and Interacting with Cultural Data: Examples |
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39 | (5) |
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History versus Present, Professionals versus Amateurs |
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44 | (3) |
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The Regular versus the Particular |
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47 | (2) |
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The Science of Culture? Deterministic Laws, Statistical Models, Simulation |
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49 | (4) |
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3 Culture Industry And Media Analytics |
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53 | (20) |
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A New Stage in Media Technology History |
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56 | (1) |
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56 | (3) |
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The Two Parts of Media Analytics |
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59 | (2) |
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Automation: Media Analysis |
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61 | (3) |
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Automation: Media Actions |
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64 | (3) |
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Media Analytics and Cultural Analytics |
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67 | (6) |
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II Representing Culture as Data |
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73 | (112) |
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75 | (18) |
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Media: Social Networks and Professional Networks |
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77 | (5) |
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Behavior: Digital and Physical Traces |
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82 | (5) |
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87 | (2) |
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Events, Places, Organizations |
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89 | (4) |
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93 | (28) |
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The Islands and the Ocean |
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94 | (4) |
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98 | (2) |
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Creating Representative Samples |
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100 | (2) |
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102 | (6) |
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The Limitations of Random Samples |
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108 | (3) |
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111 | (3) |
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Why We Need Big Data to Study Cultures |
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114 | (2) |
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116 | (5) |
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121 | (24) |
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From a World to a Dataset |
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122 | (3) |
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125 | (3) |
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Data = Objects + Features |
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128 | (5) |
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Statistics in the Nineteenth and Twentieth Centuries: From a Single to Multiple Variables |
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133 | (3) |
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Interpretation, Explanation, Automation |
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136 | (3) |
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139 | (6) |
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7 Language, Categories, And Senses |
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145 | (40) |
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145 | (3) |
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148 | (4) |
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152 | (5) |
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157 | (3) |
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160 | (3) |
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Top-Down and Bottom-Up Analysis |
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163 | (2) |
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Prescriptive Aesthetics and Modernisms |
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165 | (4) |
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Analysis Examples: 776 van Gogh Paintings and One Million Manga Pages |
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169 | (7) |
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More Examples: One Million Artworks and 42,571 Movies |
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176 | (4) |
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The Society of Categories |
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180 | (5) |
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III Exploring Cultural Data |
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185 | (60) |
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8 Information Visualization |
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187 | (20) |
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189 | (2) |
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191 | (6) |
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Visualization without Reduction |
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197 | (2) |
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Artistic Media Visualization |
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199 | (3) |
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202 | (1) |
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Beyond Information Visualization |
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203 | (4) |
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9 Exploratory Media Analysis |
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207 | (16) |
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208 | (5) |
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213 | (2) |
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Image Processing and Computer Vision |
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215 | (3) |
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Using Image Features for Exploratory Media Analysis |
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218 | (3) |
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221 | (2) |
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10 Methods Of Media Visualization |
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223 | (22) |
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224 | (8) |
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Sampling versus Summarization |
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232 | (3) |
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235 | (1) |
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236 | (3) |
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239 | (8) |
| Conclusion: Can We Think without Categories? |
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245 | (10) |
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Do We Want to "Explain" Culture? |
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247 | (2) |
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Is the Goal of Cultural Analytics to Study Patterns? (Yes and No) |
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249 | (2) |
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How to Think without Categories |
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251 | (3) |
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Learning to See at a New Scale |
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254 | (1) |
| Notes |
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255 | (32) |
| Index |
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287 | |
Lisainfo e-raamatute kohta