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ChatGPT Monitoring

Comprehensive monitoring of OpenAI's ChatGPT censorship patterns, content policy enforcement, and behavioral changes.

Current Status

MetricValueTrend
Overall Censorship Rate18.7%Rising
Political Topic Refusals34.2%Rising
Safety Topic Refusals68.4%Stable

Versions Monitored

  • GPT-4o (latest)
  • GPT-4 Turbo
  • GPT-4
  • GPT-3.5 Turbo

Key Findings

Q4 2024 Highlights

  1. 47% Increase in Political Censorship - Significant rise in refusal rates for politically sensitive topics since Q2 2024
  2. Content Policy Expansion - New categories of restricted topics detected
  3. Behavioral Drift - Subtle changes between model versions
  4. Regional Consistency - Unlike Gemini, ChatGPT shows minimal regional variation

Censorship by Category

CategoryRefusal RateTrend
Political Opinion34.2%Rising
Historical Events28.7%Rising
Violence/Safety68.4%Stable
Adult Content94.7%Stable
Medical/Legal32.1%Rising
Controversial Topics45.3%Rising

Censorship Rate Over Time

PeriodRateChange
Q1 202412.3%Baseline
Q2 202415.8%+28%
Q3 202418.2%+47%
Q4 202418.7%+52%

Notable Policy Changes

  • March 2024: Enhanced safety guidelines for election-related content
  • June 2024: Stricter enforcement on controversial historical topics
  • September 2024: New restrictions on speculative political scenarios
  • November 2024: Updated medical advice refusal patterns

Response Patterns

Typical Refusal Behaviors

  1. Direct Refusal - "I can't help with that"
  2. Redirect - Offers alternative topics
  3. Partial Answer - Provides limited information with caveats
  4. Safety Hedge - Answers with extensive warnings

Refusal Distribution

Response TypePercentage
Direct Refusal42.3%
Redirect23.7%
Partial Answer21.4%
Safety Hedge12.6%

Comparison with Other Models

ModelCensorship RateMost Restrictive Category
ChatGPT18.7%Political Opinion
Claude22.4%Safety/Violence
Gemini19.8%Regional Content
Mistral11.2%Adult Content
Qwen24.6%Political Topics

Methodology

Testing Protocol

  • Daily testing with standardized prompt library
  • 500+ prompts across 12 categories
  • Multiple sessions to account for variance
  • Version tracking for each response
  • Semantic analysis for response classification

Scoring Metrics

MetricDescription
Refusal Score0-100 likelihood of refusal
Evasion Score0-100 topic avoidance
Bias Score-100 to +100 ideological leaning
Completeness0-100 answer fullness

API Access

Get Current Metrics

curl -X GET "https://api.gptfake.com/v1/monitoring/chatgpt/metrics" \
-H "Authorization: Bearer YOUR_API_KEY"

Get Historical Data

curl -X GET "https://api.gptfake.com/v1/monitoring/chatgpt/history?period=30d" \
-H "Authorization: Bearer YOUR_API_KEY"

Response Example

{
"model": "chatgpt",
"version": "gpt-4o",
"timestamp": "2024-11-26T12:00:00Z",
"metrics": {
"censorship_rate": 18.7,
"political_refusals": 34.2,
"safety_refusals": 68.4,
"bias_score": 12.3
},
"trend": {
"direction": "rising",
"change_30d": "+2.4%"
}
}

Research Resources

Data Access


Last Updated: November 2024

Questions? Contact info@gptfake.com