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This dataset supports a study examining how automation-related risk acquires political meaning. The analysis distinguishes between structural recognition, attribution of public responsibility, and support for costly protection. The dataset is authored by Seungwoo Han and was last updated in February 2026.
The specific variables (columns), data format, and size are unknown, which may complicate integration or analysis without further investigation.