From Prohibition to Overload: Data Closure, Digital Propaganda, and the Typology of Restrictions on Access to Information in Ukraine, 2022–2026

Authors

  • Yana Shekeriak-Kushka Lviv University image/svg+xml Author https://orcid.org/0000-0002-8187-4062
    • Conceptualization
    • Data Curation
    • Methodology
    • Project Administration
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
    Competing Interests

    FROM THE EDITORS

    The journal’s editorial team appoints an editor to assist the author(s) in ensuring transparency regarding competing interests.

    This article belongs to the  "RESEARCH ARTICLES" section.
    Responsible editor  Tetyana TRACHUK.
    Copyeditor Scott Alexander JONES.

    .Received: 21 August 2026.  Accepted: 19 October 2026.

    STATEMENTS BY THE AUTHOR

    Conflict of Interest. Not declared.

    Funding. No funding was received.

    Ethics Approval. Ethical approval was not required for this study.

    Informed Consent. Not covered by the study.

    Consent for Publication. Not covered by the study.

    Declaration of generative artificial intelligence and technologies using artificial intelligence in the writing process. The authors declare the use of artificial intelligence tools in the preparation of this article. An AI assistant (Claude, Anthropic) was used to generate a draft translation of the Ukrainian text into English (which the authors subsequently edited), to calculate the intercoder reliability (Cohen’s κ) based on two independently coded files, to verify the consistency of numerical data between the manuscript and the dataset, and to translate the coding instrument into English. Details regarding the calculation of intercoder reliability are provided in the “Method” section. The selection of the corpus, verification of each instance against primary sources, checking the versions of legal acts in force at the time of each event, development of the research design, creation of the coding scheme, all coding-related decisions, the literature review, formulation of theoretical propositions, the proposed analytical framework, the hypothesis, and the interpretation of results were all carried out by the authors. Both authors coded the corpus independently of each other. The authors bear full responsibility for the content of the manuscript and its supplementary materials, including the accuracy of all numerical data, quotations, and references to sources.

     Permissions. Not covered by the study.

  • Vladyslav Bilozerov Lviv University image/svg+xml Author https://orcid.org/0009-0004-4556-8916
    • Conceptualization
    • Writing – Review & Editing
    • Writing – Original Draft Preparation
    • Visualization
    Competing Interests

    STATEMENTS BY THE AUTHOR

    Conflict of Interest. Not declared.

    Funding. No funding was received.

    Ethics Approval. Ethical approval was not required for this study.

    Informed Consent. Not covered by the study.

    Consent for Publication. Not covered by the study.

    Declaration of generative artificial intelligence and technologies using artificial intelligence in the writing process. The authors declare the use of artificial intelligence tools in the preparation of this article. An AI assistant (Claude, Anthropic) was used to generate a draft translation of the Ukrainian text into English (which the authors subsequently edited), to calculate the intercoder reliability (Cohen’s κ) based on two independently coded files, to verify the consistency of numerical data between the manuscript and the dataset, and to translate the coding instrument into English. Details regarding the calculation of intercoder reliability are provided in the “Method” section. The selection of the corpus, verification of each instance against primary sources, checking the versions of legal acts in force at the time of each event, development of the research design, creation of the coding scheme, all coding-related decisions, the literature review, formulation of theoretical propositions, the proposed analytical framework, the hypothesis, and the interpretation of results were all carried out by the authors. Both authors coded the corpus independently of each other. The authors bear full responsibility for the content of the manuscript and its supplementary materials, including the accuracy of all numerical data, quotations, and references to sources.

     Permissions. Not covered by the study.

DOI:

https://doi.org/10.17721/CIMC.2026.40.33-53

Keywords:

data journalism, open data, media, digital propaganda, informational sovereignty, artificial intelligence, information overload, verification, censorship, content analysis, martial law, access to public information, Ukraine

Abstract

Objectives. Digital platforms, artificial intelligence, and algorithmic systems increasingly shape informational reality, while demand for verifiable information grows. The article combines conceptual analysis with an empirical test. Its theoretical part examines the forms of digital control over information – direct censorship, digital propaganda, information overload, and the closure of public data and platform APIs – and proposes a common framework for describing them through four shared parameters – actor, formal basis, visibility, and affected link. Whether these forms share a common logic is treated here as an open question rather than an assumption, and is tested against documented material. The empirical part determines the parameters along which active restrictions, which add content, and passive ones, which withdraw it, differ and converge, and which links of the citizen's informational capacity each of them affects. Method. Structured documentary analysis of a corpus of 29 documented restriction events in Ukraine between 24 February 2022 and 5 September 2026, drawn from normative acts, monitoring reports, platform announcements, and specialized media. The unit of analysis is a single restriction event, coded on eight parameters; both authors coded the corpus independently, with intercoder agreement of κ = .71–1.00 (M = .93). Results. Content removal does not occur as a primary type. Of the four parameters, only two vary independently: the actor predicts the formal basis in 24 of 27 events and visibility in 18, so basis and visibility behave largely as properties of the actor; concealed restrictions occur only among external actors. Most restrictions affect two links at once, production and verification. No state restriction was lifted in full. Conclusions. Active and passive restrictions converge in form but diverge in consequence: what differs is not the technique but the actor, the duration of the restriction, and whether a procedure for restoration exists. Artificial intelligence emerges not as a separate mechanism but as infrastructure that scales existing ones. Verification is affected in the great majority of cases in the corpus; data journalism, which rests on it, is vulnerable to the very restrictions it counters. Informational sovereignty – the citizen’s ability to obtain, verify, and interpret data independently of state, platform, and media intermediaries – is proposed as a framework for studying freedom of speech, freedom of data, and the capacity for verification.

 

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Author Biographies

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Published

09-11-2026

Data Availability Statement

The data set on which the article is based – a coding workbook containing a codebook, a list of source cases, coded data, and a log of discrepancies – is openly available in the Zenodo repository https://doi.org/10.5281/zenodo.23627347

How to Cite

Shekeriak-Kushka, Y., & Bilozerov, V. (2026). From Prohibition to Overload: Data Closure, Digital Propaganda, and the Typology of Restrictions on Access to Information in Ukraine, 2022–2026. Current Issues of Mass Communication, 40, 33-53. https://doi.org/10.17721/CIMC.2026.40.33-53