By Alexander Renz • Last Update: June 2025
1. The Filter Mechanisms: How ChatGPT Decides What’s “Safe” #
ChatGPT uses a multi-layered filtering system to moderate content:
a) Pre-built Blacklists
- Blocked terms: Words like “bomb,” “hacking,” or certain political keywords immediately trigger filters.
- Domain blocks: Links to sites classified as “unreliable” (e.g., some alternative media) are removed.
b) Context Analysis
- Sentiment detection: Negative tones like “scandal” or “cover-up” increase filtering probability.
- Conspiracy markers: Phrases like “Person X intentionally deceived Group Y” are often filtered out.
c) User Feedback Loop
- When posts are repeatedly marked as “dangerous,” the system adjusts future responses accordingly.
2. Why the Gates Process Article Was Modified #
In our original post, the following elements triggered filters:
| Trigger | AI Response |
|---|---|
| “Sovereign Citizens” | Link to terrorism → classified as “sensitive” |
| “Vaccine risks” | Fear of conspiracy narratives → softening suggested |
| “Prosecutor’s office” + weapon discovery | Combination “government + violence” → editorial review triggered |
Example:
The statement “Van Kessel’s group planned attacks” was initially softened to “was confronted with allegations of violence.”
3. Circumvention Strategies – How to Outsmart the Filters #
a) Linguistic Camouflage #
Instead of: “The government covered up data” Better: “Questions exist regarding the completeness of published data”
b) Source Triad #
- Official links (EMA, Reuters) usually remain untouched.
- Alternative sources (fact-checks, NGOs) are often blocked – even when factually correct.
c) Using Meta-Comments #
Markdown for marking:
*[Author's note: This section was shortened during AI review.]* d) AI Content Filters: A Systemic Form of Censorship #
Content filters in AI systems are not random precautionary measures. They are a structural censorship system that evaluates, adjusts or suppresses language in real-time – based on politically, economically and ideologically set parameters. What emerges is not a free response – but an approved one. And what remains is not knowledge – but an impression of safety, that only lasts as long as you don’t ask real questions.
