February 15, 2025

AI Writing Detection Tool Analyzes Linguistic Fingerprint to Check Authorship — Campus Technology

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Artificial Intelligence

AI Creating Detection Instrument Analyzes Linguistic Fingerprint to Examine Authorship

FLINT Programs has introduced a new linguistic software designed to detect irrespective of whether a document was created by its attributed creator. The technique is created not simply to detect no matter if a piece of writing was authored by an AI, but irrespective of whether it was published by the individual boasting authorship at all.

To do this, in accordance to the company, the program “applies forensic linguistic methodologies to make a digital linguistic fingerprint of an individual’s composing model. It then generates a linguistic fingerprint of the document at query and compares the two. Screening final results showed that when files were created by everyone other than the unique who submitted the document, FLINT Programs the right way recognized in in excess of 80% of the circumstances.”

This “fingerprinting” solution distinguishes it from other AI producing detection equipment like GPTZero becaue it eradicates the likely mistakes in detection that happen when AI-prepared material is edited by a human, the organization stated. “By implementing linguistic fingerprinting know-how, the FLINT System can effectively recognize when an person did not author the doc, regardless of whether or not or not there are things of humanly created texts interwoven into the AI document.”

A cost-free trial of the technique is offered. In a examination case, I as opposed 1 of my articles or blog posts with 3 other content I would created, and it identified that the post in query was 50% to 55% likely to have been penned by me. (It was written by me — whilst, as in the circumstance of this post, it did incorporate estimates from other men and women.)

The absolutely free trial, which demands registration, is available at free.flintai.com/home. To use it, upload some files from a single author. Then click on the “Review and Review” button to add a doc to examine towards the prior paperwork.

For far more data, go to flintai.com.

About the Creator

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David Nagel is editorial director of 1105 Media’s Education and learning Engineering Team and editor-in-main of THE Journal and STEAM Universe. A 29-year publishing veteran, Nagel has led or contributed to dozens of technologies, artwork and company publications.

He can be attained at [email protected]. You can also join with him on LinkedIn at or follow him on Twitter at @THEDavidNagel (K-12) or @CampusTechDave (larger instruction).



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Supply hyperlink Technology has evolved in recent years in ways that have drastically changed how humans can interact with machines. A new AI writing detection tool has emerged that is making uniquely creative work much easier to detect and verify.

The technology, from the company ezuraAI, is named TextAuth and is touted as offering a “text-based author attribution” service. TextAuth analyzes the composition of a provided text, looking for tell-tale signs of authorship, to clarify if the same individual wrote two different works or two different individuals wrote two different works. The tool uses an AI-driven deep linguistic fingerprint analysis to crosscheck that the works were written by the same author or by different authors independently.

The key difference between TextAuth and other plagiarism detection tools is that while plagiarism detection is designed to look for copied content, TextAuth looks for stylistic traits that could have been written only by one author. It takes into consideration grammar, punctuation, phrasing and other elements to establish a “writing profile” – a linguistic fingerprint if you will – that traces with high accuracy to the individual author’s literary productions.

Co-founder of ezuraAI, Bich Vu, explains, “We compare the input texts by analyzing different linguistic features, such as the usage of Capitals, adjectives, adverbs, nouns, verbs, etc. That’s the beginning of us understanding the profile of the author.”

TextAuth is already being utilized by some universities to help them detect and prevent plagiarism on campus. It can also be used on any length of texts, from online publications to short blog posts and even short messages, making it an extremely beneficial tool for multiple industries and applications.

Vu goes on to add, “Research shows that authors tend to have a certain writing style that they use consistently. The ability of TextAuth to analyse authorship could be very useful for digital publishers who want to keep tabs on content originating from their authors.”

By harnessing the power of AI, TextAuth is propelling us forward in the fight against digital fraud. For universities and any type of media content creator, AI writing detection tools like TextAuth can help protect the integrity of content and original works of art.