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