Question 1

Is AIGC detection the same as similarity checking (copy ratio)?

Accepted Answer

No. Similarity checking (copy ratio) detects "how much of your paper text is duplicated from existing literature," while AIGC detection analyzes "whether your writing style looks like AI-generated." The two systems operate independently. A paper with 0% similarity could have a very high AIGC rate, and vice versa. Some universities require passing both checks.

Question 2

How much practical difference is there between 30% and 50% AIGC rate?

Accepted Answer

A huge difference. Using CNKI as an example: below 30% is usually considered "normal variation range"; 30%-50% triggers manual review; above 50% will most likely require revision and resubmission, with some universities directly marking it as unqualified. 30% is not a safe line — the lower the better. Below 20% is the safest target.

Question 3

Can content processed by AIGC reduction tools pass detection?

Accepted Answer

In most cases, it can significantly reduce the AIGC rate, but the result depends on how obvious the AI features were in the original text, how many processing rounds were used, and the target platform's detection algorithm. It is recommended to do a pre-check using the target platform's detection tool after processing to confirm it meets the standard before formal submission.

Question 4

Does it matter which AI tool (DeepSeek, ChatGPT, Ernie) was used to generate the paper?

Accepted Answer

There are differences, but they are minor. The main variation is: ChatGPT (especially GPT-4) generates the most fluent content and is sometimes actually harder to detect; Claude content has more "academic tone"; DeepSeek Chinese content had higher false positive rates in some university detection systems (now improved). Regardless of which tool was used, all AI-generated content requires human intervention to pass detection.

Question 5

Do charts, formulas, and code participate in AIGC detection?

Accepted Answer

Most AIGC detection systems only analyze plain text content — charts, formulas, and code blocks typically do not participate in detection. However, note: if explanatory text accompanying formulas or code is AI-generated, that text will still be detected. It is recommended to maintain human writing characteristics in chart descriptions and method descriptions as well.

Question 6

If my school has no explicit AIGC requirements, do I still need to worry?

Accepted Answer

Yes. Even if the school has no explicit requirement, defense committee members can raise questions if the article "reads like AI wrote it." More importantly, the Ministry of Education explicitly required universities to establish AIGC detection mechanisms after 2024, and detection requirements will gradually improve and tighten. Getting ahead of AIGC reduction is the safest protection for yourself.

What Is AIGC Detection | AI-Generated Content Detection Principles and Safe Thresholds

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