Sentiment & Narrative Analysis
Understand the "What" and "Why" of the Conversation
Mentions, reach and engagement only tell part of the story. Cyabra adds critical sentiment context and identifies the key narratives shaping online discourse. By connecting emotional intensity directly to the topics driving it, Cyabra provides the clarity needed to understand the true impact of the stories shaping the conversation.
Why Sentiment & Narrative Analysis?
Narrative Identification
Without context, teams are overwhelmed by raw data and miss the specific stories gaining real-world traction.
Sentiment by Authenticity
Decision-makers risk reacting to "manufactured outrage" driven by bots rather than genuine public concern.
Narrative Proliferation
Messaging often fails when teams can't identify the exact moment a topic turns from positive to critical.
Cross-Platform Tone Mapping
Strategies suffer when a "one-size-fits-all" response is applied to fragmented, platform-specific debates.
Cyabra is leading the way in misinformation detection and provides us with meaningful insights that help us keep a pulse on all the different ways that our brands are being talked about.
Frequently Asked Questions
Standard tools track keywords. Cyabra identifies the underlying stories. It uses AI-driven analysis to group individual posts into coherent, ranked narratives, allowing you to see which specific storylines drive the majority of the conversation.
Yes. Cyabra’s solution monitors the evolution of a discussion by tracking virality, which measures spread speed based on shares, alongside content volume and total engagement.
It clarifies whether the emotional tone of a conversation is organic. By separating sentiment by user type, you can determine if a spike in negativity is coming from real people or is being manufactured by inauthentic accounts.
Each narrative is assessed based on several factors, including its percentage of the overall conversation, total engagement (likes, comments, and shares), and its potential reach or exposure.