📊 Monitor brand reputation crises with Twitter/X, Reddit, News API, Slack and Jira

⚡ 22 views · 📊 Market Research & Insights

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Description

This workflow monitors brand mentions across multiple platforms (Twitter/X, Reddit, News) and automatically detects reputation crises based on sentiment analysis and trend detection.

How it works

1. Multi-platform monitoring: Every 10 minutes, scans Twitter/X, Reddit, and news sites for brand mentions
2. Data normalization: Converts all platform data into unified format
3. Smart filtering: Removes duplicates and already-analyzed mentions
4. AI sentiment analysis: Analyzes each mention for:
   • Sentiment score (positive/negative/neutral)
   • Amplification factors (engagement, verified accounts, news sources)
   • Crisis-level phrases and keywords
5. Trend detection: Compares current sentiment to 24-hour baseline:
   • Detects sharp sentiment drops
   • Identifies negative mention spikes
   • Calculates impact surge
6. Crisis classification: Assigns severity (CRITICAL/HIGH/MEDIUM/LOW)
7. Automated response: For crises, triggers immediate alerts:
   • Executive crisis brief with action plan
   • Slack alerts to crisis team
   • Email to leadership and PR team
   • JIRA ticket creation
   • Crisis event logging

Setup steps

1. Connect platforms:

   • Twitter/X: Add OAuth credentials to “Monitor Twitter/X” node
   • Reddit: Add OAuth credentials to “Monitor Reddit” node
   • News API: Get API key from newsapi.org and add to “Monitor News & Blogs” node

2. Configure brand monitoring:

   • Update brand name and handles in search queries
   • Add additional platforms if needed (LinkedIn, Facebook, Instagram)

3. Set up alerting:

   • Slack: Add credentials and update channel names
   • Email: Add SMTP settings and recipient lists
   • JIRA: Add credentials and project ID

4. Adjust sensitivity:

   • Modify sentiment keyword dictionaries in “AI Sentiment Analysis Engine”
   • Adjust crisis threshold scores
   • Customize amplification factors

5. Test thoroughly:

   • Run manual execution with test data
   • Verify alert routing and content
   • Test false positive handling

6. Activate: Enable for continuous 24/7 monitoring

Key Features:

• Multi-platform monitoring (every 10 minutes): Twitter/X, Reddit, and News sites
• Data normalization that converts different platform formats into unified structure
• AI sentiment analysis engine that evaluates:
  • Sentiment keywords (critical, severe, moderate, mild negative/positive)
  • Amplification factors (engagement, verified accounts, follower counts)
  • Impact scoring based on reach and influence
• Baseline trend detection that tracks 24-hour sentiment history and detects:
  • Sharp sentiment drops (15+ points = crisis)
  • Negative mention spikes (30%+ increase)
  • Impact surges
• Automated crisis response workflow:
  • Aggregates crisis mentions into executive brief
  • Generates detailed action plan based on severity
  • Sends Slack alerts to crisis team
  • Emails leadership with comprehensive brief
  • Creates JIRA ticket for tracking
  • Logs all events for analysis
• Two-path routing: Crisis-level events trigger full response workflow, while routine mentions are logged for trend analysis

🔗 Nodes Used

Send Email, HTTP Request, Slack, Jira Software, X (Formerly Twitter), Reddit

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup