Unverified50% confidenceFactExact time
Inference logs record the actual interactions between users and the model and constitute highly sensitive information.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAlgorithmic recommendation mechanisms pursue user engagement, and content with strong emotional overtones generates higher interaction rates, thereby propelling the viral spread of unverified information.71% similarUnverifiedA visible thinking process makes users feel that the model is taking their questions seriously, thereby generating positive emotional feedback66% similarUnverifiedThe team used the lightweight Haiku model to classify each user message and determine whether the user's level of frustration was high or low.66% similarUnverifiedThe core metrics for content distribution platforms are user dwell time and engagement rate, and algorithms favor content that triggers strong emotions such as fear, anger, and anxiety (negativity bias).66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/923292API
curl https://kongchang.com/api/v1/knowledge/claims/923292MCP
get_claim(id=923292)