Month: March 2023
Through more reading, I found other examples that fit A large body of research also suggests solutions, including (Delpierre (2018) claimed some solutions. Data collection:The data used to train algorithms and make decisions should be diverse and representative of all populations. This includes consideration of factors such as race, gender, socioeconomic status and other relevant variables. Data cleaning: A […]
After clear the topic, I started looking at the literature and find some examples. Review of the literature: There is an extensive literature on how big data affects the job search process and outcomes, and the extent to which the use of big data in job search exacerbates inequality and discrimination. CV screening: Companies can use big data analytics to […]
I met with the supervisor of my dissertation and decided on the final general direction, which was about the connection between “Big data inequality” and “finding a job” “Big data inequality” and “finding a job” are two very different issues, but they may be linked in some ways. Big data can play a role […]
I had an online meeting with my supervisor on February 28th at 2pm. The topic and scope of my project are determined: to study the comments on posts of videos posted on the YouTube platform in two channels run by different gender of Chinese people (a man and a woman). If the data is from […]
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