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

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