Conspiracy Frame: a Semiotically-Driven Approach for Conspiracy Theories Detection
Conspiracy Frame: a Semiotically-Driven Approach for Conspiracy Theories Detection explores A dataset and semantic framework for detecting conspiracy theories by analyzing abstract patterns in language.. Commercial viability score: 4/10 in NLP.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisHiding in Plain Text: Detecting Concealed Jailbreaks via Activation DisentanglementViability: 2.0
- Builds On ThisA conceptual framework for ideology beyond the left and rightViability: 3.0
- Builds On ThisEroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the WildViability: 3.0
- Builds On ThisA Causal Graph Approach to Oppositional Narrative AnalysisViability: 2.0
- Prior WorkI Want to Believe (but the Vocabulary Changed): Measuring the Semantic Structure and Evolution of Conspiracy Theories
Related Resources
- How does PersianPunc contribute to NLP?(question)
- How does PersianPunc contribute to NLP?(question)
- How does PersianPunc contribute to NLP?(question)
- NLP – Use Cases(use_case)