Google searches were made
Posted: Sun Feb 09, 2025 5:49 am
There are some strong gender biases in the occupations shown in Table 1 – both in the census data an in the Google images data – perhaps reflecting long run biases in recruitment or perceived job status.
We can also look at more detailed SOC2010 classified observations from the census, although in this case we do not know the gender balance of those actually employed in these positions for the indonesia rcs data top 20 or so jobs (by number of persons employed), omitting those for which no suitable search term was found. Many of the jobs are shown with a strong gender bias. For some jobs, there are separate breakdowns of employment that allow us to find employment by gender. Thus, the search term ‘teacher’ gave results that were 83% female; the most recent data published by the Department for Education for the school workforce in England shows that 74% of teachers were female.
It should of course be remembered that the Google results are for a small set of images (those displayed on the first screenful of results) – one different image could alter the results quite easily. There are a small number of images in each case, typically portraying 20-40 people.
We can also look at more detailed SOC2010 classified observations from the census, although in this case we do not know the gender balance of those actually employed in these positions for the indonesia rcs data top 20 or so jobs (by number of persons employed), omitting those for which no suitable search term was found. Many of the jobs are shown with a strong gender bias. For some jobs, there are separate breakdowns of employment that allow us to find employment by gender. Thus, the search term ‘teacher’ gave results that were 83% female; the most recent data published by the Department for Education for the school workforce in England shows that 74% of teachers were female.
It should of course be remembered that the Google results are for a small set of images (those displayed on the first screenful of results) – one different image could alter the results quite easily. There are a small number of images in each case, typically portraying 20-40 people.