Countering fake news: A survey of recent global initiatives.
This report examines the various government measures aimed at tackling fake news, with a focus on disinformation that poses a threat to national security. The report highlights key actions, including new legislation…
Online communication on climate change and climate politics: a literature review
The paper reviews scholarly literature on online and social media’s role in climate change communication. It examines how various stakeholders use these platforms and finds that climate scientists and institutions are not…
The facts of fake news: A research review
The article reviews scholarly research on fake news, focusing on its definition, causes, and impacts. The article defines fake news as misleading content that masquerades as real news and underscores that although only…
Causes and consequences of mainstream media dissemination of fake news: literature review and synthesis
The journal article reviews the challenges and approaches related to detecting fake news on online social networks (OSNs). It highlights the dual nature of OSNs as both beneficial and problematic, noting that…
Which machine learning paradigm for fake news detection?
This paper addresses the challenge of detecting fake news using machine learning algorithms due to the limitations of manual detection. It evaluates the performance of eight machine learning algorithms (regression, support vector…
On bullshit
This book examines the concept of “bullshit,” distinguishing it from lying. Frankfurt argues that while liars intentionally make false claims, bullshitters are indifferent to the truth and focus on creating a certain…
Beyond misinformation: Understanding and coping with the “post-truth” era
The article explores the rise of “post-truth” and “fake news” and their impact on society. It examines how misinformation affects public perception and behavior, the effectiveness of various correction strategies, and the…
Shifting attention to accuracy can reduce misinformation online
The study finds that while people often share misinformation, their decision to do so is not strongly influenced by the accuracy of the information. Instead, factors other than accuracy, such as attention…
Artificial intelligence’s white guy problem
The article suggests that while some prominent figures in the tech world raise concerns about the future dangers of artificial intelligence (AI), such as the potential for machines to surpass human intelligence…
Lateral reading: Reading less and learning more when evaluating digital information.
The main idea of this working paper is to investigate how different groups—Ph.D. historians, professional fact checkers, and Stanford University undergraduates—assess the credibility of digital information. It highlights that fact checkers demonstrate…
