Detect misinformation and manipulation risks with GPT-4o agents and Google Sheets — n8n ワークフロー

複雑度 トリガー17個のノード AI👁 1回閲覧作成者:Cheng Siong Chin

概要

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 dis

使用ノード

Google SheetsAI AgentOpenAI Chat ModelStructured Output ParserCode ToolAI Agent Tool

ワークフロープレビュー

Prerequisites
- Google Sheets API credentials
- n8n instance (v1.0+)
- Access to propagation/temporal data APIs
- Google account with target Sheet pre-created
Use Cases
Setup Steps
1. Connect OpenAI credentials to Supervisor, Narrative,
2. Configure Google Sheets credentials and set target s
How It Works
This workflow automates misinformation and information
Bot Behaviour Analyser Agent
What: Analyses propagation cascades and temporal patter
Why: Detects coordinated inauthentic amplification.
Narrative Pattern Detector Agent
What: Identifies disinformation narratives using semant
Why: Surfaces recurring themes missed by keyword filter
Misinformation Detection Agent
What: Supervises three sub-agents via chat memory and t
Why: Centralises orchestration for consistent, parallel
Manipulation Technique Classifier Agent
What: Maps content to manipulation tactics with risk he
Why: Enables structured, taxonomy-driven threat scoring
Format Results & Store Risk Assessment
What: Parses, formats, and appends findings to Google S
Why: Ensures auditable, structured reporting.
modelmodeltoolmodeltooltooltooltooltoolmodelparsertooltool
S
Start Analysis
Misinformation Detection…
Supervisor Model
Risk Assessment Output P…
Narrative Pattern Detect…
Narrative Detector Model
Bot Behavior Analyzer Ag…
Bot Analyzer Model
Semantic Clustering Tool
Propagation Cascade Anal…
Temporal Pattern Detector
Risk Heatmap Generator
F
Format Results
Store Risk Assessment
Manipulation Technique C…
Manipulation Classifier …
Manipulation Taxonomy Tool
17 nodes16 edges

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 17 個のノードを流れます, connecting agent, agenttool, googlesheets。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (17)

GO

Google Sheets

googleSheets

#1
AI

AI Agent

n8n-nodes-langchain.agent

#2
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#3
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#4
CO

Code Tool

n8n-nodes-langchain.toolCode

#5
AI

AI Agent Tool

n8n-nodes-langchain.agentTool

#6

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした detect-misinformation-and-manipulation-risks-with-gpt-4o-agents-and-google-sheets ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報(APIキー、OAuthなど)を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け:

{ "name": "Detect misinformation and manipulation risks with GPT-4o agents and Google Sheets", "nodes": [...], ...}

インテグレーション

agentagenttoolgooglesheetslmchatopenaimanualtriggeroutputparserstructuredsettoolcode

このワークフローを取得

ワンクリックでダウンロード&インポート

JSONをダウンロードn8n.ioで見る
ノード17
複雑度high
トリガーtrigger
閲覧数1
カテゴリAI

作成者

Cheng Siong Chin

Cheng Siong Chin

@cschin

タグ

agentagenttoolgooglesheetslmchatopenaimanualtriggeroutputparserstructuredsettoolcode

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