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

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

Multi-platform monitoring: Every 10 minutes, scans Twitter/X, Reddit, and news sites for brand mentions
Data normalization: Converts all platform data into unified format
Smart filtering: Removes duplicates and already-analyzed mentions
AI sentiment analysis: Analyzes each mention for:
Sentiment score (positive/negative/neutral)
Amplification factors (engagement, verified accounts, news sources)
Crisis-level phrases and keywords
Trend detection: Compares current sentiment to 24-hour baseline:
Detects sharp sentiment drops
Identifies negative mention spikes
Calculates impact surge
Crisis classification: Assigns severity (CRITICAL/HIGH/MEDIUM/LOW)
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

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

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

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

Adjust sensitivity:
Modify sentiment keyword dictionaries in "AI Sentiment Analysis Engine"
Adjust crisis threshold scores
Customize amplification factors

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

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