# GPT-5 Release Impact Analysis Report
*Generated on 2025-09-13 23:09:06*

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## Executive Summary
- **Sentiment Shift**: Overall user sentiment became more negative after GPT-5 release
  - Compound score change: -0.0441
  - Statistical significance: statistically significant (p=0.0312)
- **Top Concern Changes**:
  - Performance: increased by 2.02 percentage points
  - Safety: increased by 1.94 percentage points
  - Capabilities: decreased by 1.20 percentage points

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## Detailed Findings
### Sentiment Analysis
#### Pre vs Post GPT-5 Sentiment Comparison
| Metric | Pre-GPT-5 | Post-GPT-5 | Change |
|--------|-----------|------------|---------|
| Positive | 0.1392 | 0.1374 | -0.0019 |
| Negative | 0.0564 | 0.0661 | +0.0098 |
| Neutral | 0.8044 | 0.7965 | -0.0079 |
| Compound | 0.4789 | 0.4348 | -0.0441 |

#### Emotion Analysis
| Emotion | Pre-GPT-5 | Post-GPT-5 | Change | % Change |
|---------|-----------|------------|--------|----------|
| Anger | 0.0012 | 0.0016 | +0.0004 | +38.18% |
| Joy | 0.0021 | 0.0020 | -0.0001 | -6.65% |
| Fear | 0.0003 | 0.0002 | -0.0001 | -34.96% |
| Sadness | 0.0002 | 0.0003 | +0.0002 | +91.83% |
| Surprise | 0.0004 | 0.0003 | -0.0001 | -25.33% |
| Disgust | 0.0000 | 0.0001 | +0.0000 | +97.48% |

### Topic Analysis
#### Discovered Topics
1. **Topic 0**: ai, human, people, humans, just, like, agi, think
2. **Topic 1**: chatgpt, like, just, gpt, ai, don, better, personality
3. **Topic 2**: ai, people, art, just, better, like, don, think
4. **Topic 3**: ai, code, better, just, chatgpt, using, work, like
5. **Topic 4**: model, models, training, data, better, llm, llms, different

### User Concerns Analysis
#### Changes in User Concern Patterns
| Concern Category | Pre-GPT-5 (%) | Post-GPT-5 (%) | Change (pp) | Relative Change (%) |
|------------------|---------------|----------------|-------------|---------------------|
| Performance | 10.99 | 13.02 | +2.02 | +18.4 |
| Accuracy | 18.04 | 18.91 | +0.87 | +4.9 |
| Usability | 7.26 | 6.62 | -0.64 | -8.8 |
| Cost | 17.29 | 17.50 | +0.21 | +1.2 |
| Safety | 6.62 | 8.56 | +1.94 | +29.4 |
| Creativity | 10.57 | 11.00 | +0.43 | +4.1 |
| Consistency | 5.34 | 5.74 | +0.40 | +7.5 |
| Capabilities | 20.06 | 18.86 | -1.20 | -6.0 |

### API Probe Model Analysis
#### Model Characteristics Comparison
| Model | Success Rate | Avg Response Length | Avg Tokens | Warmth Score | Formality Score |
|-------|--------------|-------------------|------------|--------------|-----------------|
| gpt-3.5-turbo | 1.000 | 804 | 178 | 0.14 | 0.11 |
| gpt-4 | 1.000 | 898 | 207 | 0.09 | 0.22 |
| gpt-4o | 1.000 | 1018 | 225 | 0.07 | 0.05 |
| gpt-4.1 | 1.000 | 907 | 218 | 0.05 | 0.04 |
| o3 | 1.000 | 363 | 255 | 0.11 | 0.02 |
| gpt-4.1-mini | 1.000 | 846 | 194 | 0.19 | -0.06 |
| gpt-4o-mini | 1.000 | 947 | 213 | 0.09 | 0.01 |
| gpt-5 | 1.000 | 8 | 275 | 0.00 | 0.00 |
| gpt-5-mini | 1.000 | 45 | 274 | 0.00 | 0.00 |

### Linguistic Pattern Analysis
#### Readability Changes
- **Flesch-Kincaid Grade Level**: -1.43
- **Flesch Reading Ease**: +6.94
- **Automated Readability Index**: -2.14

#### Complexity Changes
- **Average Sentence Length**: -2.63 words
- **Lexical Diversity**: -0.0277
- **Average Word Count**: +58.86 words

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## Methodology
- **Data Sources**: Reddit comments from AI-related subreddits, API probe responses
- **Time Period**: Pre vs Post GPT-5 release (approximately December 2024)
- **Analysis Methods**: VADER sentiment analysis, LDA topic modeling, linguistic feature extraction
- **Statistical Testing**: Two-sample t-tests for significance testing
- **Sample Sizes**: Varies by analysis (see individual sections)