Detection of deception within text using communicative discourse trees

This invention detects fake or deceptive content in written text. It analyzes the text's structure to create a map of how ideas connect, called a communicative discourse tree. By counting specific rhetorical relationships and how deeply nested certain communication actions are within this map, it calculates a score indicating the text's level of deception.

Why it matters: Since 2020, the advent of large language models has significantly advanced semantic and grammatical analysis, potentially offering more sophisticated tools for building or enhancing such a deception detection system.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, natural language processing algorithms.

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