27/04/2023

ATHENE researchers at Fraunhofer SIT are researching ways to help recognize texts created with ChatGPT. Among other things, the text forensics experts are working with a self-developed method for authorship verification, COAV: Originally, it was used to detect plagiarism in scientific papers, for example. Since COAV compares texts on a stylistic basis, this method can also be used to identify a specific "author," namely ChatGPT. This is used to calculate the distances between texts using similarities of text modules and typical consecutive letter strings: Is the text closer to GPT or closer to a human?

IT forensics expert Lukas Graner has demonstrated this using news texts as an example: He had existing online messages written by (human) journalists reworded via ChatGPT and tested them with the tool. Text passages marked in blue indicate that they are more likely to have been written by a human, while red markings stand for ChatGPT.

Further information with an illustrative example can be found on the Fraunhofer SIT website.

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