In research published in JASIST, The Journal of the Association for Information Science and Technology, my colleague at Rutgers’ School of Communication and Information Vivek Singh, our students Raj Imandar and Diana Floegel, and I have found occupational gender bias to be prevalent in images on several mediated platforms. Our work has implications for the design of platforms and algorithms and for gender equity and fairness, and has received considerable international attention. It will be highlighted in the third edition of Superconnected, slated to be published in Fall 2020.
Here is a story about the research in Rutgers Today: https://news.rutgers.edu/occupational-gender-bias-prevalent-online-images-rutgers-study-finds/20200204#.Xlamu2hKg2w
Here are several links to media stories about the research:
Telengana Today. Online images reinforce gender stereotypes. https://telanganatoday.com/online-images-reinforce-occupational-gender-stereotypes
ET&T Magazine. Online images reinforce engineering stereotypes. https://eandt.theiet.org/content/articles/2020/02/online-images-reinforce-engineering-stereotypes/
Physics.org. Occupational gender bias prevalent in online images, study finds. https://phys.org/news/2020-02-occupational-gender-bias-prevalent-online.html
Hyperallergic.com.Online Images Reinforce Gender Biases Around Professions, Study Says. https://hyperallergic.com/541323/online-images-reinforce-gender-biases-around-professions-study-says/
Business Standard. Occupational gender bias prevalent in social media images: study. https://www.business-standard.com/article/pti-stories/occupational-gender-bias-prevalent-in-social-media-images-study-120020401232_1.html.
…and here is the link to the actual article on JASIST.