How can ai writing detection technology cope with complex texts?

ai writing detection technology mainly analyzes text features to recognize generated text, and optimizes expression methods from multiple dimensions to deal with complex texts. ‌
Response strategy
1. Diversified expression methods
Avoid using a single sentence structure, mix simple and complex sentences, and cross use different grammatical structures (such as passive and active sentences). Reduce vocabulary repetition patterns by replacing synonyms (such as changing "artificial intelligence" to "AI technology") and combining long and short words (such as alternating between "this technology" and "this technology"). ‌
2. Increase contextual complexity
Enrich the text by introducing specific cases, comparing data, and providing multidimensional arguments while keeping the core content unchanged. For example, academic papers can combine experimental results with theoretical deductions, and news reports can supplement on-site details and interviews with individuals.
3. Optimize punctuation marks
Reduce single punctuation (such as excessive periods or commas) and use special symbols such as dashes and parentheses appropriately. For example, changing "This technology has the following characteristics" to "This technology has the following characteristics:...". ‌
4. Enhance oral expression
Add rhetorical devices such as rhetorical questions and exclamations, for example, changing "Does this technology have practical value" to "Does this technology not have practical value. Academic texts can retain professional terminology, but they need to enhance naturalness through contextual associations. ‌
5. Adjust paragraph structure
Each paragraph should not exceed 3 sentences, and different paragraphs should be connected through transitional sentences to avoid long paragraphs. For example, first describe the background, then introduce the core viewpoint, and finally summarize the conclusion. ‌