Ad Preferences Center 29–31
Age of Surveillance Capitalism, The 5, 154–5
Algorithms 40, 45, 53, 54, 112, 130, 134, 155, 160, 168, 170, 190, 207. 214, 247–9, 251, 259, 265, 266, 271
Allan of Hallam. Lord 208
Allworth, James 105
Alternative für Deutschland 60, 61
Altman, Sam 252
Amazon 10, 34, 105, 121, 150, 151, 185, 188, 196, 197, 221, 240, 242, 244, 252
Amnesty International 158, 160
Analects, The 253
Andreessen, Marc 243
AnswerThePublic 99,122–5
Apple 10, 41, 150–54, 185, 188, 197, 221, 234, 242
Aristotle 259
authoritarians 9, 142, 146, 157, 190, 202, 216, 222, 225, 240
Bartlett, Jamie 271
behavioural data 5–8, 27, 28, 29, 31, 46, 50, 53, 58, 59, 104, 106, 122, 231, 267
Benioff, Marc 252–3
Bentham, Jeremy 163–7, 169, 170, 172, 179, 180, 182, 201, 233, 257
Berlin, Isaiah 205
Berlinquette, Patrick 127–31
Better Angels of Our Nature, The 204
Bing 124, 125, 132, 233, 238, 267
Bolsonaro, Jair 235
Bostrom, Nick 250
Bosworth, Andrew ‘Boz’ 205
Bought By Many 2, 3, 19–26, 34, 35, 36, 39–43, 80, 81, 82, 84, 85, 87–92, 95, 103, 105, 186, 190, 199, 278
Bouglé, Célestin 207
Bowling Alone 205
broad targeting 31
Cambridge Analytica 2–3, 9, 15, 25, 35, 47–50, 52, 64, 65, 67, 226, 227, 268
Capital in the Twenty-First Century 198
Chahali, Evarist 128–9
Chetty, Raj 119–21
Chopra, Rohit 66
Clegg, Sir Nick 208
Clinton, Hillary 59
concentrated control 200, 201, 226, 230
Confucius 253
coronavirus also Covid-19 107–8, 122–34, 216, 267, 271, 274
Coronavirus Tech Handbook 122, 125
Cox, Chris 236
Crisis of Liberalism, A 206–7
Custom Audiences 45, 47, 51, 53
Customs and Border Protection Agency 251, 263
data ethics 246–7
data openness 11, 109, 112, 122, 137
demand taxonomy 73, 74, 82, 84, 88, 93, 103
Democracy in America 205
digital advertising 3, 10, 16, 48, 52, 221, 232, 233, 235, 273
Digital Culture, Media and Sport, Department of 29, 227
digital legitimacy 229, 232, 237, 274
digital marketing 3, 4, 10, 59, 75, 77, 92, 104, 124, 127, 143, 147, 148, 149, 278
digital revolution 98
digital technology 11, 143, 145–7, 154, 208, 217, 254, 261, 273
Digital Verification Corps 158, 159
Discipline and Punish 177
Dubberley, Sam 160
Dun & Bradstreet 254, 255, 256, 259
Duterte, Rodrigo 8, 156, 157, 190, 224
Economist, The 33–4
Einiö, Elina 102
entitledto 115–6
Everybody Lies 100
Experian 2, 24, 39, 42, 53, 54, 56, 57, 58, 65, 66, 72, 73, 77, 78, 82, 112, 255, 271, 272, 278
Facebook 2–10, 15–20, 22–33, 35–6, 39–53, 58–67, 87, 88, 92, 113, 145, 146, 148–51, 152, 154, 155, 156, 157, 158, 159, 167, 168, 170, 171–5, 176, 177, 185, 190, 191, 197, 200–9, 211, 215, 221, 223, 224–8, 231, 232–9, 241, 242, 243, 249, 252, 264, 268,
Facebook Messenger 157
Ferguson, Niall 28
Foa, Roberto 133
Foot, Philippa 257
Forward Internet Group 74–6, 78, 83
Foucault, Michel 169–70, 173, 177, 182, 184
Foundry 214–6
Free Basics 243
Frey, Carl Benedikt 252
Future Politics 250
Gates Foundation 198
Gates, Bill 125, 197, 198, 201, 271
GDP: A Brief but Affectionate History 98
GDPR (General Data Protection Regulations) 31, 32, 104, 116, 167
global community 200, 202, 204, 205, 206, 208, 213
Global South 150, 153, 226, 232, 233, 234, 243
Goldman, Paula 251
Google 10, 16, 33, 71, 72, 73, 74, 76, 83, 89, 90, 92, 93, 97, 98, 100, 101, 102, 105, 123, 124, 125, 127, 128, 129, 130, 131, 134, 148, 152, 154, 165, 167, 176–7, 185, 186, 187, 188, 189, 190, 196, 197, 200, 211, 221, 224, 234, 238, 241, 242, 243, 249, 250, 251, 252, 256, 267
Google Ads 22, 73, 127, 130, 176, 233, 238
Google Chrome 89,
Google Flu Trends 130, 131, 132
Google Trends 99, 103, 107, 123, 125, 127, 128, 130–35, 136
Great Hack, The 35
Guardian, the 2, 8, 65, 124, 165, 272
Harari, Yuval Noah 204
Hatch, Orrin 15
Hegel 204
Hitwise 72–4, 78, 82, 90, 93, 103–5, 107, 108, 109, 122, 123, 124, 125
Hobbes, Thomas 223
Holmes, Elizabeth 194–5
Hopkins, Claire 126
hubris 193, 196, 197, 198, 201, 210, 217
Hutchinson, Neil 75
illegimitacy 6, 7, 9, 50, 221, 224, 225, 279
Johnston, Steve 23, 73, 74, 83, 94, 103
Jolie, Angelina 101–2
Jumpshot 104, 105, 107, 109, 121, 189
Kant, Immanuel 258
Karp, Alex 211–7
Karpian realism 210–7
legimitacy 60, 62, 66, 190, 221, 222–44, 274, 277
Leviathan 223
liberalism 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 217
Lookalike Audiences 4, 53–4, 58–61, 63–4, 190, 209, 232, 273
Maloney, Sean 39
market power 184–9
Martínez, Antonio García 9
Mawarire, Evan 145–6, 174, 190
McGoey, Linsey 198
Microsoft 10, 124, 132, 196, 197, 214, 221, 233, 238, 240, 242, 244, 252
Mill, John Stuart 179, 201, 206, 239
Minos of Crete, King 193
Minotaur 193
Moloney, Matt 186
Moloney, Mike 186
Mugabe, Robert 142, 144, 145, 146, 190
Murray, Joe 76
Nadella, Satya 252
Neumann, Adam 194, 195–6, 198, 213
Neumann, Rebekah Paltrow 198
Nineteen Eighty-Four 168–9, 173
95 Theses about Technology 28
Nussbaum, Martha 205
O’Neil, Cathy 248
Obama, President Barack 51
Observer, the 2
OCEAN segmentation 47–50
Olonga, Henry 139–43, 144, 145, 147, 160
Omidyar, Pierre 252
On Liberty 206
open banking, 110–14
open data 116–21
open-source intelligence 158, 159
Opportunity Insights 119–21, 137, 215
optimisation 46, 47, 50, 51, 52, 171, 270
Osborne, Michael 252
Palantir 211–7
Panopticon 165–72, 174–7, 186, 188, 190, 233
People vs Tech, The 271
Pichai, Sundar 211
Piketty, Thomas 198
Ping An 90–5
Pinker, Steven 204
Prince, Matthew 260–1
probabilistic inference 17, 18, 113
profile data 57, 18–9, 26, 27, 29, 47, 48, 50, 59, 65, 159
psychological manipulation 47–50
pug insurance 86–7, 93, 95, 105, 190, 270
Putnam, Robert 205
reach power 189–91
Rohingya Muslims 8, 157, 159, 190, 209, 226, 235, 238
Salesforce 251
Salvini, Matteo 8
Sandberg, Sheryl 271
Sapiens 204
Schmidt, Eric 210, 211, 213, 215
Science 131
Shanghai Roadway 254–5, 256, 258, 259, 263
Snowden, Edward 210
Space X 196
Square and the Tower, The 28
Stephens-Davidowitz, Seth 72, 99, 127
Sun, Mr 90–1
surveillance capitalism 4–8, 11, 16, 18, 19, 28, 32, 47, 48, 50–2, /59, 66, 105, 140, 147, 186, 202, 221, 224, 225, 233, 235, 271
Susskind, Jamie 250
Tanzania 128–9
Theory of Justice, A 205
Theranos 194–5
Thompson, Ben 105
Tocqueville, Alexis de 201, 205
Trump, Donald 8, 9, 59, 100, 217
Tufekci, Zeynep 5, 28, 148, 226, 228, 233
Twitter and Tear Gas: The Power and Fragility of Networked Protest 148
vertical integration 188, 189, 240, 241
Vestager, Margrethe 240
Walgreens 194
Walker, Abigail 126
Weapons of Math Destruction 248
Whittaker, Meredith 250–1
Wilson, Nigel 66–7
Yelp 65
YouGov 133–5
Zuboff, Shoshana 5, 154–5, 202, 207
Zuckerberg Files, The 202, 208
Zuckerberg, Mark 15, 35, 61, 64, 170, 171 172, 173, 174, 190, 197, 200–10, 213, 223, 226, 227, 231, 235, 241, 242, 271