Дослідження методів виявлення синтетичних текстів

Abstract

The topic of synthetic text detection has become increasingly important in recent years due to the widespread use of text-generating models and the potential for malicious actors to use them for spreading misinformation and propaganda. This research aims to identify effective methods for detecting synthetic texts, which can include both fully synthetic texts generated by AI models and partially synthetic texts that have been manipulated or edited. It involves exploring various techniques, such as statistical analysis, machine learning, and natural language processing, to analyze and compare the characteristics of synthetic and human-generated texts.