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

Workflow preview

Monitor brand reputation crises with Twitter/X, Reddit, News API, Slack and Jira preview
Open on n8n.io

Overview

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
  1. Trend detection: Compares current sentiment to 24-hour baseline:
  • Detects sharp sentiment drops
  • Identifies negative mention spikes
  • Calculates impact surge
  1. Crisis classification: Assigns severity (CRITICAL/HIGH/MEDIUM/LOW)
  2. 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
  1. Configure brand monitoring:
  • Update brand name and handles in search queries
  • Add additional platforms if needed (LinkedIn, Facebook, Instagram)
  1. Set up alerting:
  • Slack: Add credentials and update channel names
  • Email: Add SMTP settings and recipient lists
  • JIRA: Add credentials and project ID
  1. Adjust sensitivity:
  • Modify sentiment keyword dictionaries in "AI Sentiment Analysis Engine"
  • Adjust crisis threshold scores
  • Customize amplification factors
  1. Test thoroughly:
  • Run manual execution with test data
  • Verify alert routing and content
  • Test false positive handling
  1. 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