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How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More
book

How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More

by Noah Giansiracusa
July 2021
Beginner to intermediate
239 pages
8h 9m
English
Apress
Content preview from How Algorithms Create and Prevent Fake News: Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More
Index
A
Abstract conceptualizations
A/B testing
Academic researchers
AI-powered deepfakes
Algorithmic detection system
Antiracism
Anti-trafficking organizations
Artificial intelligence (AI)
Adobe’s tool
GPT
GPT-2
GPT-3
MSN’s
OpenAI
Artificial popularity
Autocomplete
Automated detection systems
Automated systems
Avaaz report
B
Backdating
BERT
Bharatiya Janata Party (BJP)
Bidirectional Encoder Representations from Transformers (BERT)
Biometric indicators
Blogger remuneration system
Bot detection algorithm
BotSlayer
C
Campaign for Accountability (CfA)
Causation vs. correlation
Circuit breakers
Coler’s fake Denver-based newspaper
Conspiracy theories
Converus
Coronavirus misinformation
Council of Conservative Citizens (CCC)
COVID-19 pandemic
Cyborg accounts
D
Data-driven, Economics Online ...
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Publisher Resources

ISBN: 9781484271551Purchase LinkPublisher Website