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    <identifier>10.57760/sciencedb.23035</identifier>
    <datestamp>2025-04-02T15:20:12Z</datestamp>
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  <dc:date>2025-04-02</dc:date>
  <dc:title>Data and Code for &amp;quot;Is Transparency a Panacea for AI? The Impact of Transparency in Rationale and Process on Perceived Legitimacy in AI-assisted Decision Making&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.23035</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The study examined the effect of AI transparency on perceived legitimacy among citizens.&amp;nbsp;A survey experiment employing a factorial between-subjects design was conducted.&amp;nbsp;The experimental setting focuses on public official recruitment in China.Embedded within the recruitment scenario, our vignette employs a 3 x 3 factorial design.&amp;nbsp;The data were collected through the professional panel provider &amp;ldquo;Credemo&amp;rdquo; to target a sample in China. A total of 1,000 participants were recruited, but 66 were excluded due to speeding, failing the attention check, and incomplete responses. As a result, the final sample consisted of 934 participants, yielding an effective response rate of 93.4%.</dc:description>
  <dc:subject>transparency; artificial intelligence; experiment</dc:subject>
  <dc:creator>Shangrui Wang</dc:creator>
  <dc:creator>Yuanmeng Zhang</dc:creator>
  <dc:creator>Zheng Liang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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