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Developing an Artificial Intelligence Model for Detecting Toxic (harmful) Content in Texts

Year: 2026

Type: article

Abstract: The article analyzes the theoretical and methodological foundations of building an artificial intelligence model for the automatic detection of toxic content in texts, namely insulting, degrading, threatening and hate-inciting statements. Taking into account the features of Uzbek as a low-resource language, the parallel use of the Latin and Cyrillic scripts and the phenomenon of code-switching with Russian, a conceptual model architecture for Uzbek-language texts is proposed.

Source: International journal of technology and academic research

Author: Toshpulatov Javoxir Xamidulla o‘g‘li

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7224691106

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