Problem
Research questions and friction points this paper is trying to address.
Conversational AI Systems
Model Releases
User Perceptions
Sentiment
Public Discussion
Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems
🤖 AI Summary
研究通过分析Reddit讨论，使用情感分类和主题概念分析方法，探讨了模型发布如何影响用户对对话AI系统的动态感知。
📝 Abstract
Conversational AI systems (CAISes) continuously change through model releases, feature updates, safety interventions, and access-policy shifts, yet user perceptions are often studied as static snapshots. We conduct a long-term, large-scale analysis of Reddit discussions to examine how users perceive CAIS model release interventions across providers. By combining sentiment classification and thematic concept analysis, we show that CAIS perceptions are dynamic and intervention-sensitive. Anthropic exhibits the clearest positive release profile through Claude Code and product-model fit, OpenAI shows backlash-and-recovery dynamics around GPT-5 and GPT-5.1, Grok-3 is shaped by provider identity and political discourse, and DeepSeek-R1 combines engineering praise with concerns about censorship, access, and reliability. These findings show that model releases are not merely technical updates, but user-facing interventions that reshape sentiment, expectations, and public discussion.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Sentiment Classification
Thematic Concept Analysis
User Perceptions
Model Releases
Dynamic Perception
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