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  <titleInfo>
    <title>Trafficking data</title>
    <subTitle>how China is winning the battle for digital sovereignty</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Kokas, Aynne</namePart>
    <namePart type="date">1979-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
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    <dateIssued encoding="marc">2023</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xx, 335 pages :  illustrations, map ;  24 cm</extent>
  </physicalDescription>
  <abstract>"Trafficking Data argues that the movement of human data across borders for political and financial gain is disenfranchising consumers, eroding national autonomy, and destabilizing sovereignty. Focusing on the United States and China, it traces how US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have yielded an unprecedented opportunity for Chinese firms to gather data in the United States and quietly send it back to China, and by extension, the Chinese government. Such "data trafficking," as the book names this insidious phenomenon, is enabled by the competing governance models of the world's two largest economies: mass government data aggregation in China and impenetrable corporate data management policies in the United States. China is stepping up its data trafficking efforts through national regulations, soft power persuasion, and tech investment, extending the scope of state control over domestic and international data and tech infrastructure, and thereby expanding its global influence. The United States, by contrast, is retreating from participation in foreign alliances, international organizations, and the systemic regulation of the tech industry-practices with the potential to counter data trafficking. Confronting data trafficking as the defining international competition of the twenty-first century, this book ultimately advocates for an alternative future of data stabilization. To stem data trafficking and stabilize data flows, it shows, policymakers can synthesize tools from across the private sector, public sector, multi-national organizations, and consumers to protect users, secure national sovereignty, and establish valuable international standards"--</abstract>
  <tableOfContents>The data trafficking dilemma
What happens in Vegas stays in China: fragmented US tech oversight
Becoming a cyber sovereign: China's politics of data governance
From farms to outer space: how China networks sovereignty in the United States
Social media: the algorithm as national security asset
Gaming: the porous boundaries of virtual worlds
Money: the risks of data trafficking for China
Health: surveilling borderless biodata
Home: data through the back door
Toward data stabilization</tableOfContents>
  <note type="statement of responsibility">Aynne Kokas.</note>
  <note>Includes bibliographical references and index.</note>
  <subject>
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  <subject>
    <topic>Inteligencia empresarial</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
    <geographic>China</geographic>
  </subject>
  <subject>
    <topic>Minería de datos</topic>
  </subject>
  <subject>
    <topic>Protección de datos personales</topic>
  </subject>
  <subject>
    <topic>Privacidad de datos</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data sovereignty</topic>
    <geographic>United States</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Data privacy</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
    <geographic>China</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Personal information management</topic>
    <topic>Political aspects</topic>
    <geographic>China</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Disclosure of information</topic>
    <geographic>United States</geographic>
  </subject>
  <subject>
    <topic>Data trafficking.</topic>
  </subject>
  <classification authority="lcc">HD 30.3815 K79t 2023</classification>
  <classification authority="ddc">323.44/80951</classification>
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      <title>Trafficking data</title>
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    <name>
      <namePart>Kokas, Aynne, 1979-</namePart>
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    <originInfo>
      <publisher>New York : Oxford University Press, 2023</publisher>
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    <identifier type="local">(DLC) 2022024272</identifier>
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  <identifier type="isbn">9780197620502 (hardback)</identifier>
  <identifier type="isbn">0197620507 (hardback)</identifier>
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