Good News about Bad News: Gamified Inoculation Boosts Confidence and Cognitive Immunity Against Fake News
IJERPH | Free Full-Text | Infodemic and Fake News in Spain during the COVID-19 Pandemic
The Rules of Contagion: Why Things Spread--And Why They Stop: Kucharski, Adam: 9781541674318: Amazon.com: Books
Prebunking interventions based on the psychological theory of “inoculation” can reduce susceptibility to misinformation across cultures. | HKS Misinformation Review
The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) — China, 2020
An epidemiology-inspired model for fake news mitigation on social media | College | College of Science and Engineering
On the Origin, Proliferation and Tone of Fake News
Frontiers | Implications of Public Understanding of COVID-19 in Saudi Arabia for Fostering Effective Communication Through Awareness Framework
The Rules of Contagion: Why Things Spread - and Why They Stop: Kucharski, Adam: 9781788164726: Amazon.com: Books
Prebunking interventions based on “inoculation” theory can reduce susceptibility to misinformation across cultures
Full article: Countering Misinformation and Fake News Through Inoculation and Prebunking
Behavioral Sciences | Free Full-Text | Americans’ Perspectives on Online Media Warning Labels
Study shows fake news is a problem | Deloitte Insights
Prebunking interventions based on the psychological theory of “inoculation” can reduce susceptibility to misinformation across cultures. | HKS Misinformation Review
Rules of Contagion: Kucharski, Adam: 9781541674325: Amazon.com: Books
Applied Sciences | Free Full-Text | Feature Drift in Fake News Detection: An Interpretable Analysis
Removing AI's sentiment manipulation of personalized news delivery | Humanities and Social Sciences Communications
The Rules of Contagion by Adam Kucharski | Basic Books
Full article: The fake news game: actively inoculating against the risk of misinformation
Post-truth and fake news
Applied Sciences | Free Full-Text | Feature Drift in Fake News Detection: An Interpretable Analysis
