This article compares three major anti-plagiarism systems: Antiplagiat, Rukontext, and Turnitin, evaluating them across five criteria. It notes that the anti-plagiarism market in 2026 is dominated by these three, each with distinct strengths: one relies on regulatory integration, another boasts extensive English-language sources, and the third excels with vector semantics and multilingual content. The piece aims to clarify how these systems actually function, especially in light of LLMs and challenges with Russian morphology. AI
IMPACT Provides insights into how AI, specifically LLMs, impacts the effectiveness and market dynamics of plagiarism detection tools.
RANK_REASON The article compares existing products and discusses their technical underpinnings and market positioning, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.7]
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