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The article discusses using scroll behavior patterns to detect scraper bots by analyzing burstiness and memory metrics from human activity, improving on previous timing-based methods.
This article explores the meaning of 'human touch' in text, analyzes statistical features of AI detection methods such as perplexity and burstiness, and argues that human writing can be diagnosed but cannot be optimized without creating a paradox.