📊 Detect misinformation and manipulation risks with GPT-4o agents and Google Sheets
⚡ 141 views · 📊 Market Research & Insights
Description
How It Works
This workflow automates misinformation and information manipulation detection using a coordinated multi-agent AI architecture. It is designed for trust and safety teams, media analysts, researchers, and platform moderators who need scalable, structured threat assessment. The pipeline begins when a trigger initiates content analysis. A central Misinformation Detection supervisor agent coordinates three specialised sub-agents: a Narrative Pattern Detector that identifies recurring disinformation themes via semantic clustering, a Bot Behaviour Analyser that detects coordinated inauthentic activity using propagation and temporal pattern tools, and a Manipulation Technique Classifier that maps content to known influence tactics using a risk heatmap and taxonomy tools. Each agent uses a dedicated AI model and memory. Results are passed to a structured output parser, formatted for readability, and appended to Google Sheets for ongoing risk tracking and audit.
Setup Steps
- Connect OpenAI credentials to Supervisor, Narrative, Bot, and Manipulation classifier model nodes.
- Configure Google Sheets credentials and set target spreadsheet ID in the Store Risk Assessment node.
- Set memory buffer windows in each sub-agent’s Memory node to match your analysis context length.
Prerequisites
- Google Sheets API credentials
- n8n instance (v1.0+)
- Access to propagation/temporal data APIs
- Google account with target Sheet pre-created
Use Cases
- Platform trust and safety teams flagging viral misinformation campaigns
Customisation
- Replace Google Sheets with a database or SIEM output
Benefits
- Parallel multi-agent analysis cuts manual review time significantly
🔗 Nodes Used
Google Sheets, AI Agent, OpenAI Chat Model, Structured Output Parser, Code Tool, AI Agent Tool
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File