Index

Nirit Weiss-Blatt (University of Southern California, Los Angeles, CA, United States)

The Techlash and Tech Crisis Communication

ISBN: 978-1-80043-086-0, eISBN: 978-1-80043-085-3

Publication date: 24 March 2021

This content is currently only available as a PDF

Citation

Weiss-Blatt, N. (2021), "Index", The Techlash and Tech Crisis Communication, Emerald Publishing Limited, Leeds, pp. 181-185. https://doi.org/10.1108/978-1-80043-085-320211002

Publisher

:

Emerald Publishing Limited

Copyright © 2021 Nirit Weiss-Blatt


INDEX

Access journalism (and limited access)
, xxii, 8, 10, 19–21, 24

Act/essence disassociation
, 77

Activism (tech employees)
, xxii, 45, 72, 113–115

Algorithms
, 68, 84–85

AlgoTransparency
, 84

Amazon
, 6, 11–12, 19, 47, 98–99, 103–105, 107, 114, 122, 124, 133

Anti-progress association (of tech criticism)
, 18, 25

Antitrust
, xxiii, 31–32, 48–49, 97, 106, 110, 125

Apology (genuine/pseudo/non-apologies/apology tours)
, xxii, 32, 74–75, 79–82, 88, 91–92

Apple
, xvi, 19–20, 23, 31, 40, 48, 60–61, 79, 99, 103–105, 107, 124, 133–134

Artificial intelligence (AI)
, 84, 105, 124

Atlantic, The
, 16, 21, 23, 28, 53–54, 57, 63, 68, 70, 77, 84, 86, 112–113, 115, 135

Axial coding
, 134

Backlash
, xix, 3, 21, 47, 52–55, 62, 75–78, 93–94, 97, 106, 125

Benecke, Rowan
, 9, 11, 54, 67, 72, 89, 107, 121, 128, 135

Big Tech–Big Scandals
, xxii, 37–72

tech giants- from saviors to threats
, 48–51

tech media and PR perceptions
, 51–72

Big Tobacco Moment
, 125

#BlackLivesMatter
, 45, 118, 124

#BreakUpBigTech proposition
, xix, 37

BusinessWeek
, 8, 14

“Buying time” strategy
, 87, 90–91

BuzzFeed
, 16, 22, 27, 38, 53–55, 63, 68, 71, 80, 86–87, 94, 115, 135

Cambridge Analytica (scandal)
, xxii, 27, 46, 49, 52–59, 61–62, 77, 80–81, 105–106, 108, 115

Chief Information Officer (CIO)
, 90

Chief Security Officer (CSO)
, 90

Child sexual abuse materials (CSAM)
, 77

CNET (online news site)
, 6, 8, 13, 24, 26, 54, 62, 70, 83, 107, 132, 135

Communications Decency Act
, 108

Computer magazines
, xvii, xix, xxii, 3–5, 7, 9, 13–15

Computerism
, 7

Computerworld
, 8, 13

Congressional hearings
, 65–66, 107

Constant comparison analysis
, 133–134

Constine, Josh
, 25–27, 29–30, 61, 63, 71–72, 92, 95, 107, 111, 113, 115, 126–127, 135

Consumer Electronics Show (CES)
, 6, 31

Content moderation
, xxiii, 30, 64–65, 108–109, 124

Cook, Tim
, 19, 23, 41, 48, 124–125

Corporate apologia
, xxii, 73, 77, 92

Corporate media
, 133

Corporate social responsibility (CSR)
, 128

Corrective action (messages)
, 73–75, 82–85, 91–92

COVID-19/Coronavirus pandemic
, xx, xxiii, 98–99, 106, 118, 121–125, 127, 130, 135

Crisis communication, 73–95 (see also Tech crisis communication)

Cybersecurity (attacks/threats)
, 46, 83, 115–116

Data breach
, 37, 40, 42, 46, 79, 83, 90

Deferred Action for Child Arrivals program (DACA program, and Dreamers)
, 44, 47, 143

Denial crisis strategy (denied allegations)
, 53, 73–74, 79, 90–91, 115

Discrimination
, xxii, 37, 40–41, 44, 47, 61, 76, 79, 83, 113

Disinformation (also misinformation)
, 37–38, 48–49, 53, 68, 76, 79, 86, 93, 98, 103–104, 116, 124, 130

Diversity (lack of)
, 37, 42, 44, 69–72, 89, 112

Dorsey, Jack
, 100, 122, 126

Dot-com (bubble and burst)
, 6–13, 111

Dystopia (Techno-Dystopianism)
, 7, 51, 71, 97–103

eBay
, 12, 70

eCommerce
, 11–12, 47, 105

Election interference (Russian meddling in 2016 U. S. presidential elections)
, xxii, 37, 42–45, 52, 54, 56, 61, 67, 76, 79, 82–84, 90, 107

Electronic Entertainment Expo (E3)
, 31

Equifax
, 46, 79, 83, 90, 133

Evil
, 51, 59, 95, 99–102, 118, 126, 129

Expert interviews
, 135–136

Facebook
, 18–19, 22, 25–26, 28–30, 32, 37–38, 43–44, 48, 52–61, 63, 65, 67–68, 71, 76–82, 84–87, 89, 91, 93, 95, 99, 103–110, 113–116, 121–122, 124–125, 127, 133–134

Fake news
, 37–38, 42–46, 56, 79, 82–84

Federal Trade Commission (FTC)
, 31, 42, 47, 105, 107–109

Fortune
, 24, 29

FuckedCompany.com
, 12

#Gamergate
, 70

Gen Z (and iGen, Zoomers)
, 127

Gizmodo
, 14, 20–21, 33, 44, 72, 84, 132

Google (Alphabet)
, 20, 22–23, 25, 28, 31–32, 37–38, 42–45, 48, 52, 56, 60–61, 70, 72, 76–77, 79, 82–84, 90–91, 94, 99, 103–105, 107, 109, 113–115, 117, 122–125, 127, 133–134

Hate speech (and extremist content)
, 37, 42, 65, 76, 79, 82, 104, 107, 109, 126

Hill, Kashmir
, 21, 25, 56, 66, 83, 86, 105–106, 135

Humanity
, 69, 86, 88, 94–95, 101, 129

IBM
, 47, 133

iGen (and Gen Z, Zoomers)
, 127

Image repair theory
, 73

Initial public offering (IPO)
, 4, 6, 32

Innovation Journalism
, 4, 9

Intel
, 47, 133

Intentional crises
, 75

International Data Group (IDG)
, 4

Internet
, 4–7, 9–10, 13–14, 21–22, 26, 28, 33, 43, 50, 52, 55–56, 58–59, 63, 67, 69, 71, 77, 88, 95, 98, 104, 110, 116, 118, 121, 126–127, 130

Internet Research Agency (IRA)
, 44

Investigative (reporting/journalism/stories)
, xix, 8–9, 16–18, 28, 115–116

iPhone
, 19–20, 23, 26, 31, 33, 40–41, 79, 105

Jarvis, Jeff
, 13–14, 19–21, 58–59, 61, 64–65, 67, 69, 71, 88–89, 98, 101–103, 109, 125–127, 135

Jones, Stephen
, 8, 11, 56–57, 78, 114, 127–129

Kalanick, Travis
, 40–41, 43, 79

Los Angeles Times
, 5, 16

Madrigal, Alexis
, 16, 21, 28–29, 53–54, 57, 59, 68, 76–77, 84, 86, 91, 99, 110, 112–113, 125–126, 135

Masnick, Mike
, 8, 21, 29, 62, 64–65, 68, 88, 98, 100–101, 106, 111, 118, 135

Mass self-communication
, 13

Media Cloud (tool)
, 43, 131–132

#MeToo (movement)
, 37, 41, 61, 64, 70, 87, 98, 118

Microsoft
, 6, 8, 17–18, 28, 32, 46, 48, 62, 83, 99, 103, 105, 109, 113–114, 125, 133–134

Mobile World Congress (MWC)
, 31

Moral panic
, 58, 67–69

National Security Agency (NSA)
, 27–28, 46

Netflix
, 18

New York Times
, 6–7, 9, 15–16, 20–22, 25, 38, 47, 50, 55–56, 58–59, 62, 66, 69, 77, 82–83, 90, 98, 100, 105–106, 115, 118, 121–123, 125, 131, 135

Newton, Casey
, 10, 22, 26–29, 53, 60–61, 64, 71, 78, 84, 91, 104, 112, 115–117, 122, 135

Nieva, Richard
, 24, 54, 62, 70, 83, 86, 107, 113, 135

“No comment,”
, 75, 90–91

Open coding
, 134

Optimism/optimists
, 7, 25, 27, 29, 33, 50–51, 71, 101

Pack Journalism
, 58–62

Paczkowski, John
, 16–17, 27, 54, 61–63, 68–69, 87–88, 93–95, 115, 135

PC Magazine
, 4, 9, 13, 18

Pendulum swings
, xix, xxiii, 11, 50–51, 125, 129

Pessimism/pessimists
, 50–51, 100, 118

Pessimists Archive
, 68

Pichai, Sundar
, 94, 112, 124–125

“Plandemic”
, 124

Political pushback
, 65–67

Post-Techlash
, xix–xx, xxiii, 121–129, 136

Pre-Techlash
, xix–xx, xxii, 3–34, 51, 101, 136

Privacy
, 7, 21, 24–26, 28, 31, 33, 37, 41–42, 48–49, 55, 61, 65–66, 77, 80–81, 83, 87, 97, 100, 104–105, 106–107, 112, 122, 128

Product Journalism
, 6, 30, 32–34, 40, 44, 46, 51

ProPublica
, 84–85, 116

Protect IP Act (PIPA)
, 33

Protocol
, 97

Pseudo-apologies, 75, 78–82, 91–92 (see also Apology)

Public relations (PR), xix–xxiii, 5–10, 12, 15, 17–20, 22–24, 43, 51–56, 60, 72–73, 75–76, 78, 80–81, 84, 87–94, 103, 107, 110, 112, 113, 117–118, 127–131, 133–136 (see also Tech Public Relations)

Qualitative methods
, xxi, 131

Quantitative methods
, xxi, 131

Quartz
, 22

Reckoning
, 29, 37–38, 49, 51–55, 107, 122–123

Regulation
, xix, 33, 37, 51, 103, 106–110, 123–124, 126–128

Reputation repair strategies
, 73

Request for proposal (RFP)
, 89

Responsibility (reduce/avoid/evade/accept)
, xxii, 24, 48, 73–83, 92, 100, 103

Samsung
, 31, 45–46, 90, 133

San Jose Mercury News
, 6, 14, 18, 20

Sandberg, Sheryl
, 29–30, 57, 78, 81

Scale (tech companies’ bigness)
, xxii, 62–65, 84, 87–88, 93, 110, 122

Scapegoat (crisis strategy)
, 74, 92

Scapegoat-Excuse-Reminder-Victimage (SERV)
, 75–78, 91

Science news
, 132

Secrecy (tech companies)
, xxii, 19–20, 23–24, 91

Selective coding
, 134

Sexual harassment
, 37, 40–41, 61, 70, 79, 83, 113, 133

Shin, Katie Huang
, 9, 22, 53, 81, 89, 110, 135

Silicon Valley
, xix, 3–10, 13–14, 17, 20, 28–29, 48–49, 52, 55–56, 60–62, 70–72, 76, 81, 99, 100–101, 104, 106, 108–109, 111, 113–116, 136

Situational crisis communication theory (SCCT)
, xxii, 73, 92

Startups (growth companies)
, 3, 5, 10, 13, 15, 29, 31, 61–62, 108–109, 127

Stop Online Privacy Act (SOPA)
, 33

Swisher, Kara
, xix, 9–11, 13–14, 19, 25, 38, 49, 61–62, 70–71, 76, 78, 81, 89, 95, 97, 108, 111–112, 123–124, 135

Tech bloggers
, 13, 15–16, 33, 115, 129

Tech CEOs
, xxii, 94, 110–113

Tech conferences
, xxii, 72, 110–113

Tech Coverage
, xix, xxiii, 3, 15, 18, 30–31, 33–34, 37, 49, 50–51, 54, 62, 71, 75, 101, 114, 116, 121–122, 125–131, 136

Tech crisis communication
, xix–xx, xxii, 73–95

crisis response strategies
, xix, xxi, 73–75, 91–93

Tech employees’ activism, 113–115 (see also Activism)

Tech Giants
, xix–xxi, 24, 47–51, 62, 71, 101, 107, 116, 121, 124–125, 130

Tech journalism
, xix, xxi, 16–17, 21, 34, 51–52, 60, 113, 115, 129–130, 135

Tech journalists
, xx–xxi, 4, 6–8, 12, 17–18, 21, 24, 51–52, 54, 68, 75–76, 113, 116, 131, 135–136

Tech media
, xx–xxi, 3, 6, 18, 23, 43, 49, 52, 63, 101, 118, 130, 136

collection and analysis
, 131–133

keywords
, 132

research tool and timelines analysis
, 132

Tech News
, xix, xxii, 14, 40, 48, 131–132

bubble burst in early 2000s
, 12–13

computer magazines
, 3–5

dot-com bubble
, 6–11

early 2010s
, 22–34

in early 1990s
, 5–6

in 2012
, 30–34

tech blogs in mid-2000s
, 13–22

Tech Public Relations (PR), xix–xxiii, 5, 17, 22–23, 51, 75, 90–93, 112–113, 117–118, 125–130, 135 (see also Public Relations)

collection and analysis
, 133–134

template for crises
, 91–93, 130

Tech realism
, 99

Tech Regulation, 33, 37, 51, 106–110, 127 (see also Regulation)

TechCrunch
, 14–15, 18, 21, 24–27, 31–32, 61, 92, 95, 107, 111, 113, 115–116, 132, 135

TechDirt
, 8, 21, 29, 64, 68, 98, 118, 135

Techlash (tech-backlash)
, xix–xxiii, 3, 12, 17, 21, 23–25, 30, 34, 37–38, 40, 46–47, 50, 54–59, 61–62, 65–69, 72, 74, 77–78, 91–92, 94, 97–99101–104, 106–107, 109–110, 113–116, 118, 121–122, 124–125, 127–132, 135–136

books
, 101–103

Techlust
, 99

Techno-utopianism to techno-dystopianism
, 97–103

Technological

determinism
, 69

neutrality
, 69

solutionism
, 84

Technopanics, 67 (see also Moral panic)

Tesla
, 46–48, 133

Thurm, Scott
, 5–6, 10, 22–25, 29–30, 52–53, 57, 59–60, 66, 72, 86, 91, 94, 106, 111, 127–128, 135

True/Slant
, 21

Trump, Donald
, xxii, 37–38, 41, 44–45, 47–48, 52–58, 71, 110, 124

Trust (users)
, 103–104, 122

Twitter
, 15, 33, 37, 43–45, 52, 56, 60, 63, 67, 69–71, 76–77, 79–80, 83–86, 98–100, 103–105, 109, 118, 121–122, 124–126, 133

Uber
, 23, 37, 40–43, 46, 48, 61, 70–71, 79, 83, 89–90, 94, 99, 103, 112–114, 133–134

US Department of Justice (DOJ)
, 45, 107, 109

USA Freedom Act
, 28

Utopia (Techno-Utopianism)
, xix, 51–52, 97–99, 117–118

Venture capital (VC)
, 3–4, 71, 101, 109

Verge, The
, 10, 14–15, 26, 28–29, 53, 71, 78, 104, 132, 135

Victimage (crisis strategy)
, 74–75, 92

Vox
, 22

Wall Street Journal (WSJ)
, 5–6, 10–11, 13, 15–16, 24, 28, 98, 111, 122, 131

WannaCry attack
, 46, 83

Weber, Jonathan
, 3, 5, 8, 12, 22, 56, 62, 65–66, 86–87, 105, 110, 114, 117, 135

Weiner, Brett
, 9, 12, 15, 54–55, 62–63, 76, 92, 112, 135

Wingfield, Nick
, 6, 11–12, 22, 26, 48, 72, 98, 108–109, 114, 125, 127, 135

Wired (magazine)
, 3–5, 7–8, 13, 16, 22, 27, 30, 33, 52, 57, 66, 72, 81, 84, 86, 94–95, 111, 122, 131–132, 135

Worldwide Developers Conference (WWDC)
, 31

Yahoo (Altaba, Oath)
, 4, 6, 24, 28, 32, 37, 46, 70, 81, 133

YouTube
, 27, 32–33, 42, 45, 64, 76–77, 79, 82, 84, 86, 88, 91, 93, 103, 121, 124–125

Zoomers (and Gen Z, iGen)
, 127

Zuckerberg, Mark
, 27, 29–30, 32, 52–55, 57, 60, 62, 66, 77–81, 86–87, 93–94, 104, 107–108, 110, 112, 122, 124–125, 134