Glossary
Bot Detection
Identifying automated fake accounts. Part of the Integrity Layer's Audience Authenticity Score.
Definition
Bot Detection identifies automated fake accounts, synthetic engagement, and inorganic traffic. Sentient OS applies bot detection in the Integrity Layer through the Audience Authenticity Score: behavioral vectors that cluster abnormally, growth patterns that don't follow organic dynamics, comment quality analysis, and engagement stability metrics. Bot detection uses vector-space anomaly detection-not just rule-based heuristics that adversaries adapt to. The platform identifies bot networks that inflate follower counts, engagement rates, and conversion metrics. Bot detection protects your investment: optimize for real audiences, not fake ones.
Why It Matters
Bot detection protects Sentient's outputs. The Integrity Layer ensures you're not optimizing for fake engagement.
Related Pages
Related Terms
Anomaly Detection
Identifying artificial patterns in traffic (bots, fake engagement) through vector space anomalies, not keywords.
Engagement Rate
Metric measuring interaction depth. Sentient analyzes engagement stability to unmask inorganic spikes.
Integrity Layer
Command Center Module III - the shield against fraud. Social Reliability Index and Audience Authenticity Score protect every recommendation.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.