manufactured-consensus-detection

Classify source agreements into four consensus types with origin tracing and independence checks.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/bogheorghiu/ex-cog --skill manufactured-consensus-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manufactured-consensus-detection
Source: https://github.com/bogheorghiu/ex-cog/tree/main/research-toolkit/skills/manufactured-consensus-detection
Command: npx skills add https://github.com/bogheorghiu/ex-cog --skill manufactured-consensus-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps identify whether converging claims across sources reflect genuine independent reporting or are the product of a manufactured consensus or coordinated framing.

Core Features & Use Cases

  • Four types of agreement: genuine consensus, manufactured consensus, groupthink, and confirmation bias.
  • Origin tracing, timing analysis, language pattern checks, and independence testing to assess provenance.
  • Detection protocol templates and convergence warnings to flag potential coordination signals in media campaigns.
  • Integration with iterative verification workflows and source-omission analysis to strengthen evidence assessment.

Quick Start

Initiate this skill during verification to determine whether converging sources reflect independent reporting or coordinated framing.

Frequently Asked Questions about manufactured-consensus-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect manufactured consensus across multiple media sources?

Origin tracing and independence checks help identify coordinated framing by analyzing whether multiple sources' agreements reflect genuine independent reporting or manufactured consensus across media claims, PR campaigns, or policy narratives.

What is the difference between genuine consensus and manufactured consensus in media analysis?

Genuine consensus reflects independent reporting, while manufactured consensus involves coordinated framing. A four-type consensus taxonomy distinguishes genuine consensus, manufactured consensus, groupthink, and confirmation bias by analyzing source independence and language convergence patterns.

How do I trace the origin of similar language patterns across news outlets?

Trace the origin of similar language patterns by applying origin tracing and timing analysis to multiple sources exhibiting similar language within a short time frame. This determines whether the convergence stems from independent reporting or a coordinated campaign.

Can I use this for analyzing PR campaigns and policy narratives?

This applies directly to PR campaigns and policy narratives where several outlets exhibit similar language within a short time frame, implementing convergence warnings to flag potential coordination signals in media campaigns.

What are the limitations of consensus detection in disinformation analysis?

Consensus detection requires multiple sources exhibiting similar language within a short time frame to function effectively. It cannot determine coordination without sufficient source convergence and relies on independence testing to distinguish genuine agreement from groupthink or confirmation bias.