The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian

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.

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Publication Details

Journal
Computational Linguistics in Bulgaria
Published
2025-01-01
DOI
https://doi.org/10.47810/jclib.1.2025.05
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian

Ruslana Margova
Computational Linguistics in Bulgaria
Natural Language Processing Techniques
article

The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian

Ruslana Margova
article en

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.

Computational Linguistics in BulgariaVol. 1(1)
Sofia University "St. Kliment Ohridski" (BG)
European Commission
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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