Abstract
In the era of growing digital threats, real-time detection of fake text messages has become a key challenge to ensure user integrity. The literature review examines the latest developments in the field, focusing on the use of advanced machine learning techniques and deep learning. To have a full understanding of the most recent developments, common techniques and challenges, the review covers both—methodological and practical aspects of implementing real-time systems, and discusses other aspects related to efficiency, scalability and data management. The study underscores the critical role of advanced analytical techniques in combating the rapid dissemination of misinformation in contemporary digital environments.
Paper Type
Full Paper
DOI
10.62036/ISD.2025.137
Detection of fake text messages in real time with machine learning - literature review
In the era of growing digital threats, real-time detection of fake text messages has become a key challenge to ensure user integrity. The literature review examines the latest developments in the field, focusing on the use of advanced machine learning techniques and deep learning. To have a full understanding of the most recent developments, common techniques and challenges, the review covers both—methodological and practical aspects of implementing real-time systems, and discusses other aspects related to efficiency, scalability and data management. The study underscores the critical role of advanced analytical techniques in combating the rapid dissemination of misinformation in contemporary digital environments.
Recommended Citation
Poniszewska-Maranda, A., Czyżewski, A. & Hasimi, L. (2025). Detection of fake text messages in real time with machine learning - literature reviewIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.137