Misinformation Frameworks

Misinformation frameworks are systematic approaches to characterizing, categorizing, and analyzing false or misleading information. Rather than treating misinformation as atomistic false claims, frameworks provide structure: taxonomies of claim types, hierarchical categorizations, narrative patterns, linguistic features, or computational models that explain how and why false information spreads.

Key papers

• New Election, Same Old Story: How Tropes Form a Grammar of Election Rumors — Three-layer trope framework (meta, meso, micro) for election rumors, showing how rumors combine recurring narrative elements
• Causes and consequences of mainstream media dissemination of fake news: literature — Structuring how mainstream media amplifies false claims

Related topics

• Narrative Analysis (structural and storytelling approaches)
• Rumor detection on social media (detection methods often rely on framework understanding)
• Misinformation (the broader phenomenon being analyzed)