Stylometry and Artificial Intelligence: A Revolution in Authorship Analysis and the Battle Against Plagiarism

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The combination of stylometry with artificial intelligence has significantly transformed the methods of authorship analysis and plagiarism combat, opening new possibilities in various fields – from literature to cybersecurity and copyright protection. The application of machine learning to analyze the literary works of William Shakespeare has shed new light on the history of literature, suggesting co-authorship in some of his works. This revolutionary change in the perception of authorship uses advanced algorithms to understand complex literary patterns, emphasizing the significant contribution of AI to literary research.

 In the field of translations, stylometric analysis reveals individual differences in translators’ styles, proving that each translator brings their unique characteristics to the text translation. These discoveries, made possible by the application of artificial intelligence, offer a new perspective on linguistic subtleties and their impact on translation. In the context of combating plagiarism, stylometry supported by AI has become a key tool. The Polish Unified Anti-Plagiarism System, introduced in 2019, uses advanced algorithms to analyze texts for similarities and sentence structure uniqueness. This system not only detects plagiarism but also helps maintain academic integrity. As a result, every thesis in Poland is now checked for originality, in response to the amendment to the higher education law. 

Additionally, AI-enhanced stylometry is applied in detecting and countering disinformation and propaganda in social media. Algorithms can identify bots and fake accounts based on unique writing style patterns, which is crucial in the face of the growing influence of social media on public opinion shaping. Such technologies play an increasing role in protecting against the spread of false information.

 In education, AI stylometry is used to identify the authorship of student works, which is important in the context of combating dishonest academic practices. These algorithms can detect not only plagiarism but also analyze the writing style to determine if the work was written by the student who claims it.

 In a broader context, the application of stylometry in combination with artificial intelligence aids in demystifying and establishing the identities of anonymous or pseudonymous authors. These tools are also used to protect the intellectual legacy of creators from theft and unauthorized use of their works. As a result, the combination of these two fields not only provides us with better tools to understand the literary past but also to protect copyright and maintain integrity in the digital world.”

https://www.technologyreview.com/2019/11/22/131857/machine-learning-has-revealed-exactly-how-much-of-a-shakespeare-play-was-written-by-someone/

https://www.ejournals.eu/Przekladaniec/2013/Numer-27/art/443/

2 thoughts on “Stylometry and Artificial Intelligence: A Revolution in Authorship Analysis and the Battle Against Plagiarism

  1. 49834 says:

    Thanks for showcasing the significant contributions of advanced algorithms in the digital era. Really nice post

  2. 49814 says:

    Fascinating read! The integration of stylometry with AI is indeed revolutionizing the field of literary analysis and beyond. Your examples, like the re-examination of Shakespeare’s works for co-authorship and the implementation of the Polish Unified Anti-Plagiarism System, highlight the profound impact of this technology. It’s intriguing how these tools not only aid in historical literary understanding but also address contemporary issues like plagiarism and disinformation. The balance between respecting authorship and leveraging technology for educational and protective purposes seems well-maintained. This article is an eye-opener to the expanding capabilities of AI in preserving the integrity and authenticity of written works.

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