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

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