AI DRIVEN SOCIAL
MEDIA MONITORING

Detect harmful narratives, craft evidence based responses and measure impact.

Data Ingestion

Collect public and permissioned social data across platforms and languages.

The platform continuously gathers relevant conversations from a wide range of digital sources, including major social media platforms, online forums, blogs, news websites, messaging communities (where permitted), and other open source intelligence (OSINT) channels.

Centralized intelligence layer

A centralized intelligence layer that captures emerging conversations before they become widespread incidents.

AI Analysis (NLP & Machine Learning)

FROM CONVERSATION TO INTELLIGENCE

Understand conversations through multilingual Natural Language Processing and intelligent narrative detection.

The platform applies advanced AI models to transform raw social media content into actionable intelligence.

Using Natural Language Processing (NLP), Large Language Models (LLMs), and machine learning algorithms, the system identifies patterns that would be difficult for human analysts to detect at scale.

CORE ANALYTICAL CAPABILITIES

Narrative Detection

Automatically identifies coordinated narratives, misinformation themes, emerging topics, and evolving storylines.

Sentiment Analysis

Measures public attitudes and emotional responses toward individuals, organizations, events, or policies.

Entity Resolution

Recognizes and links people, organizations, locations, brands, and events even when referred to differently across platforms.

Bot & Coordinated Behavior Detection

Detects suspicious posting behavior, synchronized campaigns, automated accounts, and coordinated influence operations.

Topic Clustering

Groups millions of posts into meaningful conversation clusters for easier analysis.

Language Detection & Translation

Processes content across multiple languages while preserving contextual meaning.

Trend Forecasting

Predicts which conversations are likely to gain momentum before they become mainstream.

Together, these AI capabilities enable analysts to move from reactive monitoring to proactive intelligence.

Risk Scoring

PRIORITIZE WHAT MATTERS

Prioritize threats using automated scoring with expert human validation.

Not every conversation requires immediate attention. The platform automatically evaluates detected narratives and assigns risk scores based on multiple intelligence signals.

RISK ASSESSMENTS FACTORS

Rate of spread
Audience reach
Source credibility
Engagement velocity
Coordinated amplification
Narrative sensitivity
Geographic concentration
Potential reputational, political, or security impact

INCIDENTS ARE CATEGORIZED INTO PRIORITY LEVELS

Low Risk — Routine monitoring

Human Review

Every incident flagged as high priority is routed to human analysts for review. They validate AI findings, provide contextual analysis, confirm attribution where possible, and determine the appropriate course of action.

This hybrid approach combines the speed and scalability of AI with the judgment and expertise of human analysts, reducing false positives while improving decision making.

Response Drafting

Generate messaging grounded in evidence and context that counters misinformation effectively.

Rather than relying on generic communication templates, the platform assists analysts by producing response recommendations grounded in verified evidence, trusted sources, and contextual understanding of the conversation.

RESPONSES CAN BE TAILORED BASED ON

Audience demographics
Geographic location
Language and cultural context
Communication styles suited to each platform
Narrative severity
Organizational communication policies

THE SYSTEM RECOMMENDS

Public statements based on facts

Social media replies

Awareness campaigns

Community engagement strategies

Internal communication briefs

Stakeholder messaging

Crisis communication content

Human reviewers remain in control, ensuring every published response aligns with organizational objectives and communication standards.

Deployment & Continuous Monitoring

Publish responses, monitor narrative propagation, and measure reduction in spread.

Once harmful narratives are identified, the platform supports coordinated response deployment while continuously monitoring how information spreads across digital ecosystems. Monitoring extends beyond simply detecting mentions—it tracks how narratives evolve, who amplifies them, and whether intervention efforts are reducing their reach.

Monitoring across platforms
Live propagation tracking
Virality detection
Trend evolution analysis
Community and audience monitoring
Engagement tracking
Campaign performance monitoring
Early warning alerts for rapidly emerging threats

Organizations gain visibility into how misinformation travels and whether response efforts are successfully interrupting its spread.

DISCUSS THE REQUIREMENT FORENSIC LABS

AI DRIVEN SOCIALMEDIA MONITORING