IDEAS home Printed from https://ideas.repec.org/a/nwe/iitfed/y2024i1p68-76.html

Exploring Seasonal Trends in Bulgarian Media: Insights from a Data-Driven Analysis of Web Publications

Author

Listed:
  • Plamen Milev

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

This paper presents a data-driven analysis of Bulgarian online media, aimed at identifying seasonal tr ends and event-driven fluctuations in news coverage. The study quantitatively analyzes the total monthly publication volume and the frequency of ten most popular keywords over a one-year period. The findings reveal two primary influences on the editorial agenda: predictable seasonal patterns, with a notable decrease in media output during the summer months, and the strong impact of specific high-profile events. For instance, coverage related to political terms like "Trump" and "Elections" peaked indirect alignment with major electoral cycles, while geopolitical topics such as "Ukraine" and "Israel" showed sharp fluctuations corresponding to key international developments. The paper discusses these dynamics, providing empirical insights into how the Bulgarian media agenda is shaped by the interplay of cyclical trends and event-driven news.

Suggested Citation

  • Plamen Milev, 2025. "Exploring Seasonal Trends in Bulgarian Media: Insights from a Data-Driven Analysis of Web Publications," Innovative Information Technologies for Economy Digitalization (IITED), University of National and World Economy, Sofia, Bulgaria, issue 1, pages 68-76, October.
    • Handle: RePEc:nwe:iitfed:y:2024:i:1:p:68-76
    as

    Download full text from publisher

    File URL: https://www.unwe.bg/doi/iited/2025/IITED.2025.08.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:nwe:natrud:y:2025:2:1:p:175-188 is not listed on IDEAS
    2. Maria Marzovanova, 2015. "Intelligent Tagging and Search as a Fully Automated System," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 95-100, April.
    3. Mariana Kovacheva, 2025. "Evaluating Challenges and Opportunities Associated with Cloud-Based Big Data Solutions," Nauchni trudove, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 175-188, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nwe:iitfed:y:2024:i:1:p:68-76. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.html .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.