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Spread & networksDetection methods
Can Cascades be Predicted?Information cascades on social networks can be predicted with reasonable accuracy (~80%) using temporal and structural features extracted from early observations. Performance improves substantially as more cascade stages are observed.
Fact-checking & verificationPsychology & interventions
How to separate fact and fiction onlineMarkham Nolan, editor of Storyful, explains how journalists use open-source intelligence tools to verify content in the age of information overload. Through real-world case studies—including fake Hurricane Sandy photos and identifying locations in Syrian conflict videos—he demonstrates that truth-seeking requires human judgment combined…
Psychology & interventionsFact-checking & verification
Misinformation and Its Correction: Continued Influence and Successful DebiasingThis comprehensive review synthesizes literature on why false beliefs persist despite corrections, examining cognitive mechanisms (coherence, credibility, source confusion, fluency) that render misinformation resistant to change. The authors propose evidence-based debiasing strategies—warnings, alternative explanations, repeated…
Spread & networksPlatforms, policy & society
Beware online filter bubblesAlgorithmic personalization on major platforms like Facebook and Google has created "filter bubbles" — personalized information universes that show us what we're predicted to like rather than what we need to see. This invisible algorithmic gatekeeping threatens democracy and information diversity by isolating us in narrow perspectives,…
Detection methodsSpread & networks
Information Credibility on TwitterThis paper proposes supervised learning classifiers to automatically assess the credibility of news discussed on Twitter. Using human-labeled topics from trending discussions, the authors extract message-level, user-level, topic-level, and propagation-level features to build classifiers that distinguish newsworthy from conversational…
Spread & networksBots & coordinated campaigns
Detecting and Tracking the Spread of Astroturf Memes in Microblog StreamsPolitical campaigns increasingly use social media to amplify deceptive memes that mimic organic grassroots behavior—termed "astroturfing." This paper introduces the Truthy system, which analyzes meme diffusion networks on Twitter to detect orchestrated campaigns through network topology and sentiment analysis, achieving ~90%…
Spread & networksDatasets & evaluation
The structure and function of complex networksThis comprehensive review surveys the properties and mathematical models of complex networks across diverse domains: social networks, the Internet, biological networks, and collaboration networks. Newman covers observed structural properties (degree distributions, clustering, small-world effects), foundational models (random graphs,…
Spread & networksPsychology & interventions
A Theory of Fads, Fashion, Custom, and Cultural Change as Informational CascadesFoundational theoretical framework explaining how fads, fashions, and beliefs spread through sequential information cascades: when individuals use others' actions to infer information while ignoring their own private signals, widespread adoption of incorrect beliefs and practices can occur.