Close the expectation gap
Announce only what users can access at launch, or say clearly when and for whom advertised capabilities arrive. The distance between demo and reality dominated GPT-4o's reception.
Expectation Gap +19.4 pp after GPT-4oInteractive Paper Companion
How model releases shape Reddit perceptions of conversational AI systems
Delft University of Technology · CySafeLab
Reddit discussions of conversational AI systems, October 2022 to December 2025
A guided tour of six releases
Between October 2022 and December 2025, Reddit communities wrote hundreds of thousands of posts about conversational AI systems. We treat each major model release as an observation point and measure how sentiment and discussion themes shift in the weeks before and after. Six releases tell six very different stories.
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Five recurring patterns across the six releases, phrased as practical lessons for planning future model updates.
Announce only what users can access at launch, or say clearly when and for whom advertised capabilities arrive. The distance between demo and reality dominated GPT-4o's reception.
Expectation Gap +19.4 pp after GPT-4oRemoving models that users built workflows — and relationships — around triggers the sharpest backlash. Transition periods matter.
Feature Removal Frustration +6.8 pp after GPT-5A technically admired model that people cannot reliably access still produces a negative reception. Release planning is also infrastructure planning.
Negative share +16.0 pp after DeepSeek R1The most favorable shift in our data came from a model that arrived bundled with a clear workflow: Claude 4 with coding and agentic automation.
Positive +5.3 pp, negative −10.5 pp after Claude 4Discussion themes move fast and backlash can be partially reversed: GPT-5.1 de-escalated much of the GPT-5 revolt within weeks.
Negative −4.3 pp after GPT-5.1The full interactive dashboard: model-mention structure, sentiment timelines, subreddit composition, the canonical concept bank, and release-delta explorers. All data is aggregate; no raw post text or IDs are shipped.
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Summary Workbench
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Model Extraction
All controls in this section use the same selected taxonomy level and month range.
Single vs. Multi Mention
Sentiment
SVG marks include hover titles with post counts, percentages, and release-window deltas.
Subreddit Structure
Aggregate subreddit and subreddit-group views show coverage and specialization without exposing individual posts.
Concept Landscape
Prevalence data is exported as monthly/quarterly and aggregate scope tables, not raw post-level records.
Concept Sentiment
This section separates concept-level valence from prevalence and release-delta visualizations.
Release Delta Ranking
Paper-focus releases are the main narrative cases; additional selected releases are shown for completeness.
Release Concept Explorer
Paper-focus releases are marked in the profile; other selected releases are included for completeness.
Methods
The website ships aggregate tables only. Raw Reddit text, Reddit post IDs, and local absolute paths are excluded.