Table 1.
NS-SEC Analytic Categories (Source: ONS 2014).
Table 2.
Ten most frequent misclassified occupations for three-coder agreement.
Table 3.
Occupations correctly identified (not flagged by any expert coder) where frequency = >5.
Fig 1.
Proportion of individuals by NS-SEC group across four data sources
Table 4.
Pattern Matching Rules for Identifying Age Data.
Table 5.
Pattern Matching Rules for Identifying Type I errors.
Fig 2.
Comparison of age distribution between Twitter and the 2011 Census.
Table 6.
Breakdown of Twitter users by age groups.