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Gender inequality in Internet images: A case study of Iranian healthcare occupations in Google images.

Amrollah ShamsiHadiseh HeidariMohammad Javad Mansourzadeh
Published in: Health care for women international (2021)
Considering the importance of Internet searches in obtaining information and their impact on gender beliefs between occupations, this study was conducted to display the gender status of Iranian health professionals based on Google images. We selected 19 healthcare occupations, each occupation title being searched as Farsi quotes in Google images. Nursing, general practitioners and occupational health professionals showed the largest gender gap with 95, 85, and 85%, respectively. Overall, men were dominant in most occupations. Although our study was at the national level, further research analyzing images in elsewhere of the globe is needed to help the gender inequality problem.
Keyphrases
  • healthcare
  • deep learning
  • convolutional neural network
  • mental health
  • optical coherence tomography
  • health information
  • machine learning