ANALYSIS OF FEATURES OF CRIMINAL TEXTS IN WEB CONTENT
DOI:
https://doi.org/10.54251/2616-6429.2025.01.012nuKeywords:
Web content, Semantics, iOS, Android, Facebook, Instagram, Twitter, machine learningAbstract
The foundation of the Internet is web content, a collection of texts, images, videos, and audio elements created and distributed through various online platforms. It influences our thinking, decision-making, and the formation of opinions. However, alongside its benefits, the rapid dissemination of web content also brings certain risks and social issues. One of these issues is the presence of criminal content on the web. This includes information about crimes, illegal activities, violence, illicit trade, and other negative phenomena.
In 2020, as a result of the massive transition to online platforms, the number of cybercrimes increased by 358% compared to 2019, and in 2021, the number of online crimes rose by 125% compared to the previous year. Globally, every hour, 97 people became victims of data breaches. In the first half of 2022, 236.1 million payment program attacks were recorded, and every fifth internet user opened email messages containing malicious links. That same year, Meta identified over 400 malicious iOS and Android applications aimed at stealing Facebook login credentials from mobile users. Thus, cybercrime, fraud, hacking attacks, and other types of crimes have become significant challenges for society.