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    <titleInfo>
        <title>The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian</title>
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    <name type="personal">
        <namePart type="given">Ruslana</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.47810/JCLIB.1.2025.05</identifier>
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        <date>2025-07</date>
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            <start>84</start>
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%0 Journal Article
%T The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian
%A Margova, Ruslana
%J Journal Computational Linguistics in Bulgaria
%D 2025
%8 July
%V 1
%I Institute for Bulgarian Language, Department of Computational Linguistics, Bulgarian Academy of Sciences
%C Sofia, Bulgaria
%F margova-2025-possible
%X 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.
%R 10.47810/JCLIB.1.2025.05
%U https://aclanthology.org/2025.jclib-1.5/
%U https://doi.org/10.47810/JCLIB.1.2025.05
%P 84-102

Markdown (Informal)

[The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian](https://aclanthology.org/2025.jclib-1.5/) (Margova, JCLIB 2025)

• The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian (Margova, JCLIB 2025)

ACL

• Ruslana Margova. 2025. The (Possible) Use of AI Tools for Processing Texts in Journalism in Bulgarian. Journal Computational Linguistics in Bulgaria, 1:84–102.