The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian
The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian
Author(s): Ruslana MargovaSubject(s): Language and Literature Studies, Economy, Theoretical Linguistics, Applied Linguistics, Computational linguistics, ICT Information and Communications Technologies
Published by: Институт за български език „Проф. Любомир Андрейчин“, Българска академия на науките
Keywords: artificial intelligence; Bulgarian; journalism; text processing; computational linguistics.
Summary/Abstract: This study examines the technological gaps in text-processing AI tools available to Bulgarian-language journalists and how these tools might better support journalistic practices. Through a systematic analysis of current technologies across three key domains—monitoring and information gathering, content production, and content dissemination—the research reveals significant disparities between international standards and local capabilities. While some resources exist for Bulgarian journalism, including news aggregators, translation services, these tools often lack transparency, update infrequently, or provide insufficient functionality for professional journalistic needs. Large language models (LLMs) offer promising possibilities but remain underutilised in Bulgarian newsrooms. The article provides a case study about the practical use of AI. The study recommends strategic investment in language-specific AI, targeted training, transparency standards, and ethical frameworks to improve journalistic capacity and information quality in Bulgaria, as trustworthy journalism must reach wider audiences to drown out disinformation.
Journal: Computational Linguistics in Bulgaria
- Issue Year: 1/2025
- Issue No: 1
- Page Range: 84-102
- Page Count: 19
- Language: English
