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Providing transparency about the gender visibility in newspapers

Talkat DSC Europe 2022 · 2022-11-14..11-18· [data-science]
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slides:none on file

TX Group runs a daily Equality Alert that measures gender visibility in images and text by inferring gender from first names, registered users, or reading behavior, and flags percentages that typically fluctuate between 15–30%. A 10‑year view shows visibility rising from 17% to 24%. Female authors’ articles mention women 33% of the time versus 24% for male authors; foreign affairs is an outlier. Team trains a word2vec 300D on 300k+ internal articles and finds persistent gendered associations (homemaker, handbag vs. doctor, programmer), so the service surfaces concrete biases for newsroom action.

AI-written summary · about

  1. 0:00Gender visibility in media
  2. 1:55Gender representation matters
  3. 3:20TX Group’s approach
  4. 6:11Equality Alert system
  5. 7:15Gender visibility defined
  6. 8:01Long-term trends
  7. 10:09Visibility by author’s gender
  8. 11:16Visibility across sections
  9. 13:44Impact on readership
  10. 14:27Detecting gender biases
  11. 16:32Gender stereotypes in embeddings
  12. 18:17Journalists vs data science
  13. 19:41Future directions
  14. 20:47Q&A
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