Названия:
BALANCING AI-GENERATED CONTENT AND SPAM DETECTION: ENSURING QUALITY AND AUTHENTICITY IN AUTOMATED TEXT GENERATION
Автор:
Garayev Mergen, Islamov Orazmuhammet, Rahman Myradov, Sapartach Hojabalkanova
Расположение страниц:
183-188
Язык:
Английский
Аннотация:
With the rise of AI-generated content, the need for robust spam detection systems has become more urgent. This article examines the challenges and solutions in balancing the generation of high-quality automated text and its detection as spam. The study emphasizes the significance of maintaining authenticity while ensuring that the content meets quality standards. Machine learning techniques, particularly natural language processing (NLP), play a central role in both content generation and spam detection. The methodology for developing these systems is discussed, followed by an analysis of the results and potential improvements. Future directions in enhancing both AI-generated content and spam filtering mechanisms are also explored.