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    <identifier>10.57760/sciencedb.37006</identifier>
    <datestamp>2026-05-22T17:24:19Z</datestamp>
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  <dc:date>2026-05-22</dc:date>
  <dc:title>AI Discourse Polarization on Reddit: Model Camps and Governance Frames Dataset (2025)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37006</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains 11,598 English-language Reddit posts collected in 2025 for the study &amp;ldquo;Platform-Driven Polarization in AI Information Ecosystems: Model Camps and Governance Divergence on X and Reddit.&amp;rdquo; The dataset was used to examine polarization patterns in public discussions surrounding generative AI models and governance issues. Posts were encoded using anchor-based features capturing AI model/brand references (e.g., ChatGPT, Claude, Gemini, DeepSeek) and governance orientations, including safety/ethics and acceleration/commercialization frames. The dataset supports user-level clustering and discourse analysis to investigate the emergence of AI-related &amp;ldquo;model camps&amp;rdquo; and platform-specific polarization dynamics.</dc:description>
  <dc:subject>Artificial Intelligence; social media; polarization; AI discourse; X (Twitter); Reddit; text mining; Social Identity Theory; Confirmation Bias Theory; Agenda Setting Theory; echo chambers.</dc:subject>
  <dc:creator>Katia Raya</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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