nl-issue-framing

Entity framing in Dutch government records is analyzed by fetching extracts via nl-gov-data, interpreting context, characterizing portrayals, and synthesizing reputational risk assessments. The skill provides narrative analysis, mention tables, and PA/PR implications.

Reputational risk assessment from public record analysis is the process of extracting how named subjects are characterized in official government data. It identifies portrayals and framing of organizations, products, or policy issues.

No, analyzing policy issue framing requires access to the nl-gov-data MCP to fetch and interpret large datasets of public record extracts. Without this dependency, the skill cannot extract context or characterize portrayals.

Yes, sector domain packs provide ready keyword banks, default frames, and legal anchors for sectors like pharma and tech. This supports targeted entity framing analysis for specific industry contexts within Dutch government records.

The best way to assess organization portrayal in parliamentary records is to run an issue framing analysis that extracts context and characterizes treatment. The output includes narrative analysis, issue maps, and source appendices.

Outputs from framing analysis include narrative analysis, mention and context tables, issue maps, PA/PR implications, and source appendices. These results synthesize large datasets of public record extracts into reputational insights.