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

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