INDEX
Page numbers refer to the print edition but are hyperlinked to the appropriate location in the e-book.
ABC News, 109
advertising, 14, 49, 51
AI ethics editor, 93
Albany Times Union, 101
algorithmic auditing, 40, 67, 154
algorithmic explainability, 40, 93, 122, 125, 127, 154
algorithmic transparency reporting, 120, 137
Amazon, 14, 38, 66, 72, 104, 145, 147
Amazon Alexa, 72, 104
American Press Institute, 8
American Public Media, 42
analytics, 5, 25
Apple, 15
Arria, 86–87
Associated Press (AP), 2, 12, 36, 42, 48, 72, 83, 97, 101, 111, 140, 149
Atlanta Journal-Constitution, 76
audience acquisition, 49–50
audience feedback, 20–26, 130–137
augmented audience understanding, 130, 135–136
augmented journalism, 64, 66, 69–71, 92
Automated Insights, 86, 98
automation, 47, 60, 61, 70, 71, 82, 84, 86–87, 90, 91, 92, 94, 115, 138
automation editor, 19, 92–93, 98
BBC, 109, 137
Blockchain, 138
Bloomberg, 81, 102, 105
branch writing, 83, 86, 89–90
Brown Institute at Columbia University, 151
BuzzFeed, 25, 48
byline, 3, 97–98
Capital Times, 117
CBS Interactive, 51, 112
Chicago Tribune, 51
CNBC, 136
CNN, 105
Columbia Journalism School, 148
computational journalist, 93, 151
computer vision, 26, 110, 111–112
confirmation bias, 46
content distribution, 21, 27–28, 4–51
content optimization, 6, 9, 61, 80, 87
Cortico, 117
CUNY Graduate School of Journalism, 148
data crowdsourcing, 124
data mining, 30, 47, 101, 141
data privacy, 31–32, 59, 63, 74, 122, 127
data science, 73, 93, 148, 153
deep learning, 81, 117
deepfakes, 118–119
design thinking, 142
Diakopoulos, Nicholas, 122
Die Zeit, 136
DigitalGlobe, 117
digital transformation 5, 15
Disney, 118
disruption, 4–5, 52, 134
Drew, Kevin, 15
drone journalism, 18, 116
editorial algorithms, 3
El Confidencial, 45
El País, 30
ESPN, 109
Facebook, 14, 32, 48–49, 124–125
fake news, 68, 118–119, 137
false negative and false positive, 77–78
Financial Times, 25–26
FiveThirtyEight, 33, 100
Forbes, 2
General Data Protection Regulation (GDPR), 61
German Public Broadcasting, 123
Global Editors Network, 151
Google, 14, 48, 66–67, 104, 110–111, 147
Graefe, Andreas, 99
Graphiq, 42
Graphtext, 30
Guardian, 98, 133, 140
Hacks/Hackers, 15
Haim, Mario, 99
Hansen, Mark, 151
hardware, 116–117
Harvard University, 66
Hearken, 143
Hearst Corporation, 5, 101, 105
Herald-Times, 150
Hoodline, 96
Huffington Post, 141
human-machine collaboration, 20, 24–25, 56
IBM, 111
image and facial recognition, 38, 40, 59, 110–115
information bubbles, 34, 102
information officers, 51
innovation, 3, 7–10, 52–53, 66, 150–151
International Center for Journalists (ICFJ), 5
International Consortium of
Investigative Journalism (ICIJ), 61
internet, 4, 12, 41, 48–49, 104, 106, 154
investigative journalism, 25, 32, 36–37, 40, 60–61, 75–76, 93, 101, 117, 120, 122–123, 132, 143, 151
iterative journalism, 16, 20, 54, 130–156
journalistic standards, 3, 46–49, 59, 63, 90–93, 154
Journocoders, 15
JX Press, 10
Kensho, 136
KQED, 143
language translation, 102
Las Vegas Review-Journal, 112
Le Figaro, 112
Le Monde, 87
Lewis, Seth, 136
Los Angeles Times, 15, 91
machine learning (ML), 6, 25, 33–37, 58, 64–67, 75–81, 102, 112, 118, 138, 141
MediaCloud, 33
metadata, 51, 71, 101, 111–112
Microsoft, 66, 80
minimally viable stories, 130–132, 140, 155
Missouri School of Journalism, 15, 148
MIT Center for Civic Media, 33
MIT Laboratory for Social
Machines, 34
mobile, 28, 42, 104–105
monetization, 6, 48–50, 154
MSN.com, 45, 81
multimedia, 8, 109, 115
Narrativa, 44
Narrative Science, 87
National Geographic, 151
National Institute for Computer-Assisted Reporting (NICAR), 15
National Post, 100
natural language generation, 44, 72, 82, 83, 86, 87, 89, 94, 98, 132, 138
natural language processing, 46, 82, 99, 101, 102, 115
NBC Universal, 112
Netflix, 69
New York Post, 140
New York Times, 38, 80, 100, 109, 111, 122–123, 135, 138, 140, 143, 151
New Yorker, 151
news bots, 25–26, 42–44, 60, 87, 91, 131, 138, 151
Newsday, 101
newsgathering, 6–7, 21–22, 28–29, 34, 103, 117
newsroom transformation, 53, 129, 154
NewsTracer, 29
Newswhip, 140
Northwestern University, 122
Norwegian News Agency, 83
NYU Studio 20, 36
objectives and key results (OKRs), 144, 147
OpenAI, 68
Oxford University, 47
paywall, 3
personalization, 14, 27, 46, 102
Pew Research Center, 32, 40, 120
platforms, 6, 8, 10–21, 27, 30, 40–43, 48–51, 93, 103–104, 115, 147, 151
print news, 4, 8, 13, 22, 28, 49
ProPublica, 120, 123–125
prototype, 36, 111, 130
Pulitzer Prize, 36, 117
Quartz, 57, 101, 103, 138, 149
R&D Lab, 137–139
Radio France, 30
reinforcement learning, 64, 75, 80–81
Reuters Institute for the Study of Journalism, 7, 24, 104
Reuters News Agency, 29–30, 42, 51
robotics, 116–118
Romford Recorder, 95
Royal, Cindy, 143
San Francisco Chronicle, 101
Seattle Times, 37
sensor journalism, 18–20, 28–29, 34, 36–37, 40, 116, 165
sentiment analysis, 31–32, 57, 123, 155
Signal, 31
smart machines, 2, 6, 14, 47, 60–63, 66, 70
smart speakers, 104–107
Snapchat, 49
social media, 6–10, 13, 18–19, 28–33, 40–42, 46, 48–51, 72, 137, 140–141, 155, 157
South Florida Sun Sentinel, 36
speech-to-text, 109
Stanford University, 111
start-ups, 2, 10–12, 15, 62, 73, 139, 144, 147–148, 154
storytelling formats, 42–43
Stray, Jonathan, 101
structured data, 72, 82–84, 88–89, 106, 151
supervised learning, 34, 75, 79–81
Tamedia, 131
television, 8, 12–13
text-to-speech, 105–106, 137
Thomas, Ryan, 15
training data, 57, 59, 93, 102
Trint, 109
True Anthem, 51
Twitch, 41
Twitter, 23, 34, 49, 115, 151
UK Press Association, 75, 94
University of Oregon, 136
unsupervised learning, 75, 79–81
USA Today, 112
Vice News, 34
Vocativ, 33, 148
Vox, 100
Wall Street Journal, 3, 15, 33, 57, 59, 98, 100, 119, 123, 133, 144, 149
Washington Post, 2, 72, 105, 135, 138, 149, 151
web scraping, 32, 124–125
WeChat, 31
WhatsApp, 31–32
Wibbitz, 115
Xinhua News Agency, 3, 9
Youtube, 49
Yseop, 87
Zittrain, Jonathan, 66