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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>KMAN Publication Incorporation</PublisherName>
      <JournalTitle>Interdisciplinary Studies in Society, Law, and Politics</JournalTitle>
      <Issn>3060-5687</Issn>
      <Volume>4</Volume>
      <Issue>Serial Number 15</Issue>
      <PubDate PubStatus="epublish">
        <Year>2025</Year>
        <Month>10</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Digital Disinformation and Electoral Integrity: Legal Responses and Democratic Implications</ArticleTitle>
    <VernacularTitle>Digital Disinformation and Electoral Integrity: Legal Responses and Democratic Implications</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>11</LastPage>
    <ELocationID EIdType="doi">10.61838/kman.isslp.4.4.22</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
      <Author>
        <FirstName></FirstName>
        <LastName></LastName>
        <Affiliation></Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>03</Month>
        <Day>26</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;This study aims to examine the legal responses and democratic implications of digital disinformation in the context of electoral integrity. This study uses a narrative review approach combined with a descriptive analysis method to synthesize findings from scholarly articles, legal documents, and policy reports published between 2020 and 2024. Sources were selected from academic databases and institutional publications based on relevance, credibility, and analytical depth. The reviewed materials were thematically categorized into key areas including disinformation mechanisms, regulatory frameworks, and democratic impacts. A cross-jurisdictional lens was applied to compare international and national responses to disinformation, while legal, technological, and theoretical perspectives were integrated to analyze normative tensions. Digital disinformation poses a growing threat to electoral integrity through mechanisms such as algorithmic amplification, bot networks, and deepfakes. Regulatory responses vary across jurisdictions, with some prioritizing platform self-regulation and others implementing co-regulatory or statutory frameworks. Challenges include balancing freedom of expression with electoral protection, ensuring platform accountability, and addressing cross-border disinformation. Technological tools like AI detection systems and fact-checking services offer partial mitigation, while digital literacy efforts play a crucial long-term role in strengthening public resilience. Safeguarding electoral integrity in the digital age requires a multi-pronged strategy that combines legal, technological, and educational measures. Ensuring democratic resilience demands both proactive governance and citizen engagement to counter the evolving landscape of digital disinformation.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">digital disinformation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">electoral integrity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">content moderation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">democratic resilience</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">legal regulation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">algorithm transparency</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">platform accountability</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://journalisslp.com/index.php/isslp/article/download/447/867</ArchiveCopySource>
  </Article>
</ArticleSet>
