Unverified50% confidenceFactExact time
Conversations with large language models can substantially influence users' attitudes and beliefs, spanning areas from product recommendations to political positions.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedPure conversational models rely primarily on pre-training corpora, giving greater weight to brand recognition, authoritative media coverage, and structured data annotation (such as Schema.org).69% similarUnverifiedOptimization performed to align with user preferences may cause models to lean toward agreeing with and empathizing with one party in the conversation, at the cost of neutrality and independent judgment.68% similarUnverifiedAs the capabilities of leading models have generally risen, users' focus is shifting from model strength to conversational experience and user comprehension ability67% similarUnverified「边听边说」的自然对话能力可能会从差异化优势演变为行业标配66% similarUnverifiedReal conversations between users and products such as ChatGPT contain authentic question-asking patterns, human feedback signals, and professional scenarios and edge cases across various industries.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/932242API
curl https://kongchang.com/api/v1/knowledge/claims/932242MCP
get_claim(id=932242)