Fake News and Cyber-Propaganda in Sub-Saharan Africa: Recentering the Research Agenda.
The book examines the rise of fake news, misinformation, and disinformation, particularly focusing on their impact in Africa. It highlights how the proliferation of social media and smartphones has exacerbated the spread…
The Herman–Chomsky propaganda model: A critical approach to analysing mass media behaviour
The article reviews the Propaganda Model (PM) developed by Edward Herman and Noam Chomsky, as presented in Manufacturing Consent (1988). It examines how the PM explains the behavior and influence of mass…
Why do people share ideologically extreme, false, and misleading content on social media? A self-report and trace data–based analysis of countermedia content dissemination on Facebook and Twitter
The study investigates how individual factors like ideological extremity, social trust, and trust in news media relate to the sharing of countermedia content—web-based information that is ideologically extreme and often misleading. By…
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…
Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning
The research examines the reasons why individuals are prone to believing false information and determines whether logical reasoning assists in differentiating between genuine and fabricated news stories, regardless of an individual’s political…
ICT impact on socio-economic conditions of rural Bangladesh
The study indicates that ICTs have substantially altered social security, rural economy, healthcare facilities, women’s empowerment, disaster and emergency response, and other related areas, similar to trends observed in other developing countries.…
Misinformation: Toward Creating a Prevention Framework
This paper establishes a structured framework for preventing misinformation. It focuses on distinguishing between misinformation and disinformation, emphasizing accountability in information dissemination, and proposing a three-phase approach—information identification, analysis, and organization—to combat…
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…
Evaluating the fake news problem at the scale of the information ecosystem
The author argues that concerns about the pervasiveness and impact of fake news on democracy might be overstated. This indicates that efforts to combat misinformation should also focus on improving the quality…
Information disorder: Definitions
This paper explores the concept of “information disorder,” distinguishing between three types: disinformation (false information deliberately created to harm), misinformation (false information not made with harmful intent), and malinformation (accurate information used…
