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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>The Research Department of Economics and Management of Tadbir Nikan</PublisherName>
      <JournalTitle>Business, Marketing, and Finance Open</JournalTitle>
      <Issn></Issn>
      <Volume></Volume>
      <Issue>In Press</Issue>
      <PubDate PubStatus="epublish">
        <Year>2027</Year>
        <Month>09</Month>
        <Day>01</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Designing a Conceptual Model of the Impact of Signals Embedded in Fake News on the Cryptocurrency Market</ArticleTitle>
    <VernacularTitle>Designing a Conceptual Model of the Impact of Signals Embedded in Fake News on the Cryptocurrency Market</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>27</LastPage>
    <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>2026</Year>
        <Month>03</Month>
        <Day>24</Day>
      </PubDate>
    </History>
    <Abstract>&lt;p&gt;This study aimed to design a conceptual model of the impact of signals embedded in fake news on the cryptocurrency market. The research method was qualitative and was conducted using the Delphi technique in five rounds with the participation of five experts in the fields of media and business. The interview data were coded and analyzed using MAXQDA software, and seven main concepts were ultimately extracted: the legal status of cryptocurrency, cryptocurrency management strategies, factors affecting the cryptocurrency market, the type of impact of fake news on cryptocurrency, understanding the effects of signals in fake news, methods for detecting signals in fake news, and strategies for managing fake news, signals, and the cryptocurrency market. The findings showed that fake news, whether explicit or implicit, can lead to severe price fluctuations, reduced public trust, the growth of informal markets, and intensified instability. Accordingly, improving media literacy, formulating transparent regulations, using advanced technologies, and strengthening cooperation between public and private institutions are proposed as key strategies for managing these challenges. The results of this study can help policymakers and cryptocurrency market actors in Iran reduce the destructive effects of fake news through a comprehensive approach and benefit from the economic opportunities offered by this technology.&lt;/p&gt;</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">conceptual model</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">signal</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fake news</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">market</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cryptocurrency</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="pdf">https://bmfopen.com/index.php/bmfopen/article/download/520/370</ArchiveCopySource>
  </Article>
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