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Accion 136
ad blockers 70
Adidas 210
Adobe UK 285
AI see artificial intelligence
ALEC (American Legislative Exchange Council) 169–70
Alexa (Amazon voice assistant) 4–6, 11, 228
Alexa (ranking engine) 50
Alexandria Ocasio-Cortez 239
Alexis 13
Alibaba 17–18
Allende, Isabel 300
business model 145
and convenience 123
and Goodreads 50
and PillPack 50
predictive analytics 50–51
Prime 50
psychological profiling 50
reviews 43
and Ring 6
Studios 50
and trust 49–51
and a ‘voice sniffer algorithm’ 5
Web Services (AWS) 126
American Cable 180
Anything But Guns 196–7
Apple
confidence 183
emergence story 169
and the FBI 279
Fry’s views 278–9
and individual rights 229
public attitudes to 182, 231, 307
T&Cs 42
and trust 182
as warmest tech company 182
Ariely, Dan 60
artificial intelligence (AI) 225, 230, 278
DeepMind 24
ASC 239
Aspiration.com 113, 130, 131, 132–7
AT&T 10
Axios 10
Babbage, Charles 245
Baihe 17–18
banking industry 130–37
Bec, Alex 88
Ben & Jerry’s 114, 133, 178–80, 250, 288
Ben Hayoun, Nelly 176, 177, 178, 187–8
Berman, David: ‘Candy Jail’ 29
Berreby, David 38
and asking the right questions 64
and Cheney-Lippold 105–6, 107–8
as ‘digital truth serum’ 112
as an environment 112
failures 66
and false discovery 66
and LinkedIn 58
MIT conference ‘Big Data: The Management Revolution’ 55, 56, 66
and porn 102
and Responsible Technology 217–18 see also Responsible Technology
speaking for us 105
Stephens-Davidowitz and the value of 102–4, 112
as storytelling 61
as theft 60
as tombstone 60
and WeTransfer 92–3
and Zuboff 106
Big Tech 168, 188, 213, 218, 225, 292
Bilton, Nick: Hatching Twitter 52–3
BitTorrent 175
Black Mirror 45
blockchain technology 268
Bloomberg 17
Brexit 243
Brightest Flashlight free app 41–2
Bruinsma, Geert-Jan 158
Brynjolfsson, Erik 60
Buffett, Warren 298–9
Business Insider 35
Business Wire 6
California 184–93
Calo, Ryan 25
Cambridge Analytica 27, 28, 116, 147
car repairs 48
Cashmore, Pete 77
CCTV 11
Cheney-Lippold, John: We Are Data 4, 105–6, 107–8
chess computers 225
Chetan Sharma Consulting 10
China
Chinese value systems 245
and Google 52
and Yahoo 119
Chrome 127
Citymapper 6
CompuServ 153
consent forms 38
Consumer Financial Protection Bureau 133
control 126, 138, 271, 275, 289, 291
and AI 230
maintaining business control 84–5, 239
regulative see regulation
user control 231, 245, 262, 279, 287–92, 301, 304
by VCs 254
convenience 123
cookies 4
Craigslist 113
credit scoring 17–20
Curtis, Richard, Project Everyone 300
customer service 287
DARPA 245
data
aggregation 268
big see Big Data
dark 102
gatekeepers 293
gathering/harvesting 16, 21, 22, 24, 25, 53
Google searches as most important data on human psyche 102
inferred 293
and internet fingerprint 4
lean see lean data
metaphors and clichés 22
mining/extraction 16, 62, 81–2, 91, 92–3, 105, 106–7, 111, 113, 117, 170, 172, 188, 189, 190, 214–15, 216–17, 218–19, 225, 226, 307
as a normalizing tool 20
rate of increase of information 8
scientists 21, 55, 61, 63–4, 65, 92, 103, 204
sharing/file sharing 25, 82, 111, 122, 174, 205–6, 228
value of 302
volunteered 293
and your internet identity 4
dating apps 16–17
Davenport, Thomas H. 64
Day-Lewis, Daniel 45
Deep Thought 225
DeepMind 24
Defense Advanced Research Projects Agency (DARPA) 245
DeleteUber 242
DHL 158
Diaspora 289
digital exhaust 218
Digital Village 293
Diller, Barry 72
Dollar Shave Club 187
dotcom crash 141
DoubleClick 122
Drinkwater, Sarah 233–47
Dropbox 259
blog, spreadprivacy.com. 125
Duley, Giles 192
Ebert, Roger 265
Elbaz, Gil 59–60
VR as an empathy machine 264–5
end user license agreements (EULAs) 39
Eno, Brian 32
EULAs 39
Everpress 211
extraction architecture 214–17
EyeEm 289
Facebook 11, 24, 53, 92, 95, 116–17, 130, 146–7, 181, 212–13, 215, 219, 231, 291
and ALEC 169–70
business model 144–5
and data sharing 122
and Drinkwater 242–3
governance 150
hacking 117
hate speech allegations 288
and individual rights 229
leaving 287–8
as a monopoly 116–17
and offline values 98
paternalism 96
privacy policy 40
and trust 294
and US Department of Housing and Urban Development 24–5
Factual 59
FBI 279
FedEx 158
file sharing 82, 111, 158, 174, 204, 205–6
financial industry 130–37
Fiorina, Carly 62
Firefox 113
Fitbit 6–7
Foer, Franklin: World Without Mind 96–7
Fonderie 47 (organization) 247
food delivery services 140–41, 266
Ford, Henry 203
Furstenberg, Diane von 72
Galloway, Scott 295
Gandy, Oscar 107
General Data Protection Regulation (GDPR) 117, 199
geotracking 16
Getty, Jean Paul 298–9
Glitch 242
Gmail 14
González, Emma 195
Goodreads 50
Google 24, 90, 127, 130, 169, 212–13, 215, 231, 291, 307
and ALEC 169–70
backdoor gateway to searches in 122
and China 52
corporate surveillance 122
data sharing between services 122
and DeepMind 24
and DoubleClick 122
and Drinkwater 235–8
Gmail 14
Google+ social network exposure of user information 35
and individual rights 229
and passwords 33
privacy policy 122
private browsing mode 128
searches as most important data on human psyche 102
gov.uk 290
H&M 210
hacking 117
Hastie, Trevor 66
hate speech 288
Headspace 187
Hellerstein, Joe 61
High Line, New York 71–3
Hightail 174
Hill, Judith 175–6
Hoberman, Brent 290
Holland 85, 157–70, 205, 207–8, 239
Honest Company 187
Houston, Drew 191
Hudson, Will 88
Huffington, Arianna 77
Hughes, Chris 116–17
IAB 101
IMDb (Internet Movie Database) 50
immersive technologies 267–8
see also virtual reality (VR)
giving up 287–8
institute of advertising standards (IAB) 101
Intercept 53
internet
acceptance as a physical place 67–9
achievements 305
Chinese value systems of 245
companies tracking user movements 3–7
DARPA funding 245
fighting for a healthier internet 69
fingerprints 4
and government surveillance 122
identity 4
Internet of Things 278
monetization of web 3, 226, 231
and monopolies 24, 116–17, 212
need for new 26–30
neutrality 199
and offline values 98–9
online reviews and ratings 43–7
privacy 114–30
as real world 300–304
regulation see regulation
Russian value systems of 245
and T&Cs 36–43
and the Trust-Lite society 35, 42, 54
underworld 112
It’s Nice That 88
Jacobs, Jane 289–90
Jeremiah Johnson (Pollack film) 284–5
Jobs, Steve 166, 203–4, 283–4, 285
Keltanen, Matti 66
Kennedy, John F. 232
Koblin, Aaron 260–73
Kumar, Apurva 9
Kutcher, Ashton 164
Lane-Fox, Martha, Baroness 290–92, 297
Layar 81
lean data 66, 95, 100, 109–12, 193, 199
Liao, S. Matthew 288
Liberty United 247
LinkedIn, and Big Data 58
Litman-Navarro, Kevin 40
Live Nation 175
London Review of Books 169, 186
Into Action festival 194
Lyft 113
Lynch, David: Lost Highway 13
Madrigal, Alexis 3
Marks, Mason 24–5
Marks & Spencer 291
matchmaking 17–18
dating apps 16–17
Maven, Project 238
McCandless, David 92
Media6Degrees 63
Meeker, Mary 306
Merrill, Douglas 65
Milk, Chris 264
millennials 210
Miller, Arthur: The Crucible 44
MIT conference ‘Big Data: The Management Revolution’ 55, 56, 66
Moby 176
Mundie, Craig 58
Nalden (born Ronald Hans) 77–9, 80, 83, 84, 88, 162
NameDrop 37–8
National Health Service 24
New York Times 5, 40, 55, 59, 73, 84, 288
NHS 24
Nield, David 4
Nike 83
Notice and Take Down Policy Group 111
Obar, Jonathan 37
Oeldorf-Hirsch, Anne 37
Olsen, Patrick 9
Omidyar, Pierre 233
Omidyar Network 113, 233, 234–5, 236, 243–4, 246
Omotenashi 104
OnStar 41
Open Society Foundations 299
Otonomo 9
Oy Transfer 79
Paglen, Trevor 67
passwords 33
Peeple 43
Pepsi 252–3
Perlich, Claudia 63
PillPack 50
Pivot 295
populism 23
Porter, Eduardo 73–4
Prince 175–6
privacy
in browsing see private browsing
concerns with telematics 108
education 128–30
online expectations 114
policies (PPs) 25, 36, 37, 40, 111, 122
real-world consequences of released private information 119–20
rights 98
settings 147
value of 302
DDG see DuckDuckGo
modes 128
Project Maven 238
psychological profiling 50
ratings, online 43–7
Reading Plus 13
European 239
Responsible Computer Science Challenge 244
Responsible Technology 66, 100, 199, 212–20
reviews, online 43–7
Reynolds, Glenn: An Army of Davids 77
Ring 6
Rohingya Muslims 288
Rotten Tomatoes 46
Royal Mail 158
Schmidt, Eric 8
Schmitz, Kim (Kim Dotcom) 82, 174
Schoolman, Carlota Fay 302
Schutt, Rachel 55
Sears and Kmart 41
secretprojectrevolution 175
Serra, Richard 302–3
Silicon Beach 187
Silicon Valley 117, 141, 158, 170, 204, 208
Skoll, Jeff 137
Skoll Foundation 137
Snowden, Edward 27
Solheim, Jostein 179
Soros, George 298–9
Spectrum 180
SpiderOak 114
Stamp, Robbie 292–5
Starbucks 247, 250, 251, 252–3
Stephens-Davidowitz, Seth: Everybody Lies: 102–4, 112
Sternfeld, Joel 72
Stoneman Douglas school shootings 194
Stripe 244
Szalay, Alex 65
TaskRabbit 43
telemetry 108
Television Delivers People 302
terms and conditions (T&Cs) 36–43, 111, 211
Thiel, Peter 165
Tinder 17
transparency 73, 81, 95–6, 99, 112, 159, 182, 211, 302, 306
and Responsible Technology 296
and Wikipedia 142
Triodos 133
TrueCar 187
Trump, Donald 243
age of 31–54
and Amazon 49–51
and Apple 182
and the banking industry 130–37
and Big Data 56
bonds of 22
and car repairs 48
companies redefining 288
and data as a normalizing tool 20
and Facebook 294
and T&Cs 36–43
Wales on Wikipedia, Facebook and 138–56
and WeTransfer 79, 159, 199, 207
Turtle Conservancy 300
TwitPic 41
Twitter 41, 149–50, 176, 195, 229, 276, 291
United States of America
Department of Housing and Urban Development 24–5
gun reform efforts 194–7
internet neutrality changes 199
populist rise 23
smartphone penetration 10
Yahoo and US Congress 119
University of the Underground 176–7, 178, 188–9
Utrecht, Ellen 195
Varian, Hal 62–4
Vaynerchuk, Gary 77
Venice Beach 199
venture capitalists (VCs) 19, 161–4, 168, 185, 297
and Drinkwater 236–7, 239, 240–41
Silicon Valley VC culture 163, 168, 185, 226
Verkerk, Stefan 162
Vero 289
Vestor, Kim Tim Jim (Kim Dotcom) 82, 174
Vinyl Factory 32
virtual reality (VR) 260–63, 264–8, 270–71
Volkow, Ben 10
VPNs (virtual private networks) 70, 219, 230
VR (virtual reality) 260–63, 264–8, 270–71
Wales, Jimmy 138–56
Walmart 298–9
Warren, Elizabeth 133
Waze 6
Webvan 140–41
Weiner, Jeff 58
Weise, Karen 5
WePresent 200
WeTransfer
and Anything But Guns 196–7
basic settings 199–200
and Big Data 92–3
birth, development and growth 79–91, 254, 255–6
in California 184–93
classic design 206
collaborations 113, 173, 174–5, 184, 187–8, 189, 196, 197–8, 199
as a cultural business 160
current user numbers 199
data gathering 16
donated ad space to support arts 191–2, 200–201
ethos, values, and incentives to work for 23, 258–9
film production 194–7
finding the people 87–91
growth and lessons in Amsterdam 157–70
and lean data 95, 100, 109–12, 193, 199
net-neutral internet 199
Net Promotor Score 200
and Notice and Take Down Policy Group 111
path-making 202–9
and Prince 175–6
redefining itself 171–7
and Responsible Technology 212–20
T&Cs 111
and University of the Underground 176–7, 188–9
and US gun reform 194–7
venture capitalists 161–4
and WePresent 200
Wong, Nicole 244
Woolley, Suzanne 17
World Value Index 210
Wozniak, Steve 285
Yelp 43
YouTube 45–6
Zuboff, Shoshana 214
The Age of Surveillance Capitalism 106
Zuckerberg, Mark 27, 39, 97, 145, 149, 238, 294, 295–6
in The Social Network 91