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                <identifier>oai:data.mendeley.com/rgyr42gznw.1</identifier>
                <datestamp>2026-07-13T04:05:07Z</datestamp>
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    <dc:creator>DAR, VAQAAR-UN-NISA</dc:creator>
    <dc:title>Research Data and Code for “Automated Violence Assessment in Video Games Using Metadata Analytics and Audience Engagement”</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains the data, code, result tables, diagnostic appendices, and figures supporting the manuscript “Automated Violence Assessment in Video Games Using Metadata Analytics and Audience Engagement.” The study uses publicly available video game metadata, ESRB ratings, and YouTube audience engagement indicators to validate a metadata-driven automated violence assessment framework. The package includes the final analysis dataset, seed game catalogue, sanitized Jupyter notebooks, Python code exports, regression outputs, diagnostic files, codebook, README, and manuscript figures.</dc:description>
    <dc:subject>Social Sciences</dc:subject>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Business</dc:subject>
    <dc:subject>Management</dc:subject>
    <dc:subject>Decision Science</dc:subject>
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    <dc:identifier>doi:10.17632/rgyr42gznw.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/rgyr42gznw.1</dc:identifier>
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    <dc:date>2026-07-13T04:05:07Z</dc:date>
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