Authenticity Analysis
Defend the Integrity of Social Discourse
In a digital world flooded with AI-generated content and sophisticated fake accounts, understanding what is real is critical. Cyabra uncovers the authenticity behind the noise, leveraging proprietary algorithms to uncover the "Who" behind the "What", and provides the intelligence teams need to act instead of react.
Why Authenticity Analysis?
Fake Account Detection
Without it, your strategy is based on manufactured noise rather than real human sentiment.
Inauthentic Content Volume
Organizations risk being overwhelmed by the sheer scale of artificial engagement used to distort public perception.
Inauthenticity Reasons
Raw data is useless without the evidence-backed proof needed to confidently address manipulation.
Topic Proliferation Mapping
Teams risk wasting resources responding to "crises" that have no actual real-world traction.
To protect the reputation of a brand, making sure that we understand what is fake and what is real is critical. Now that we've got Cyabra as part of our data stack, we've got new ways to protect our clients from misinformation.
Frequently Asked Questions
The solution provides a high-level assessment of inauthentic activity, identifying the percentage of fake accounts within a conversation and the total volume of artificial content being generated.
The solution applies proprietary algorithms and behavioral analysis to look for signals like “Non-Human Behavior”, “Spam Indicators”, and “Low Quality Profile” markers.
Understanding the “Who” behind the “What” allows organizations to prioritize their response by distinguishing between genuine public concern and artificial outrage designed to distort perception.
Yes. Cyabra highlights exactly which storylines are being promoted by inauthentic accounts, including their engagement and potential reach, so you can distinguish between organic public concern and coordinated attacks.