Series Vol. 5 , 25 May 2023
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The search engine (SE) is a senseless artificial program. SE matches the user's information demands with the input information and then provides an ordered list of answers. However, the outputs are frequently subjected to bias, which can affect the depiction of issues like gender inequality. Studies have shown that search engines may unconsciously inherit biases from their creators and users throughout their life cycle. In this paper, focused on Google as our research case, we evaluate and summarize different factors that can lead to the bias issue. The factors are depicted in computer science social domains. And in response to these causes, we propose a workshop idea to raise awareness of the problem of search engine discrimination, especially regarding gender issues. Based on our current workshop solution, we also list some potential improvements.
The Search engine, Google, Bias, Gender bias, Workshop.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.