The medium is the fake news.
The article examines the blurred lines between different types of content—news, opinion, advertising, and propaganda—on online platforms. It critiques how the equivalence of all content types in digital media, alongside issues like…
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…
The Revolt of the Public and the Crisis of Authority in the New Millennium
Martin Gurri explores how technology has shifted power from traditional elites—such as governments, political parties, and media—to the general public. This shift has led to the rise of various global insurgencies and…
Reality lost: Markets of attention, misinformation, and manipulation
This book explores how the abundance of information and scarcity of attention lead to the spread of populist narratives, fake news, and misinformation. It examines how these dynamics affect media and political…
The digital origins of dictatorship and democracy: Information technology and political Islam
The book explores how communication technologies, especially the internet and mobile phones, play a crucial role in democratic transitions within Muslim-majority countries. It argues that while no democratic transition occurs solely because…
Disinformation and misinformation triangle
The paper examines disinformation and misinformation as a socio-cultural epidemic in digital news, focusing on how these types of misleading information spread via social media. It introduces a conceptual model called the…
Fake news: Fundamental theories, detection strategies and challenges.
This paper provides a comprehensive overview of fake news research, addressing its challenges and future directions. It discusses the differences between fake news and related concepts like rumors, outlines fundamental theories from…
Application of artificial intelligence techniques to detect fake news
The review article examines the role of machine learning in detecting and combating fake news amid the growing prevalence of social media. It highlights how machine learning techniques, including data mining, deep…
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…
