An honest review of missing deliveries, poor service, exploitative labor, and the dark side of platform capitalism through the Amazon lens.

What do children’s games, irony, and artificial intelligence have in common? A whole lot of misunderstanding.

By Alexander Renz • Last update: June 2025

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1. The Filter Mechanisms: How ChatGPT Decides What’s “Safe”

ChatGPT operates using a multi-tiered filtering system designed to moderate content based on internal safety policies.

a) Predefined Blacklists

• Blocked Terms: Words like “bomb”, “hack”, or certain political phrases trigger automatic content suppression.
• Domain Restrictions: URLs from “unreliable” domains (often alternative media outlets) are removed by default.

b) Contextual Analysis

• Sentiment Detection: Negative language (“scandal”, “cover-up”) increases the likelihood of moderation.
• Conspiracy Markers: Phrases like “Person X knowingly misled Group Y” are often down-ranked or censored entirely.

c) User Feedback Loop

• If enough users report content as “dangerous”, the system adapts – flagging similar content in future queries.

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2. Why the Gates Trial Article Was Modified

In our original Dutch court coverage, the following content triggers were detected and flagged:

By Alexander Renz • Last Update: June 2025

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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

Data practices, platform strategies, ideological biases, decentralized models, and network analysis in the global AI ecosystem