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uchicago-computation-workshop / Winter2024

Winter Computational Social Science Workshop
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Questions for Doug Guilbeault on "Online Images Amplify Gender Bias". #1

Open jamesallenevans opened 7 months ago

jamesallenevans commented 7 months ago

Please pose thoughtful questions for our speaker by Wednesday midnight, and upvote 5 by Thursday @ 10am, an hour before our session together. Because the paper is under strict embargo from Nature, I will email the draft all students in the program.

boki2924 commented 6 months ago

In your study, you discuss the prevalence of gender bias in online images. Have you observed any differences in the manifestation of this bias across different platforms or regions? For example, are there notable distinctions between social media platforms, search engines, or across cultures?

Yunrui11 commented 6 months ago

Your research highlights the significant impact of images on exacerbating gender bias online. As we move towards a more visually-oriented digital landscape, what strategies or interventions do you envision to mitigate this bias and promote more gender-inclusive visual representations?

Adrianne-Li commented 6 months ago

Hi Professor Guilbeault, thanks for your insights on gender bias in online images. I'm interested in how we might reduce this bias within AI and machine learning, particularly in image-labeling algorithms used by tech companies. Could you also share your thoughts on the importance of digital literacy in mitigating these biases?

grawayt commented 6 months ago

Dear Professor Guilbeault, thank you for speaking with us. I was also interested in the ways people might respond differently to a stock image and a "real" image. Do you have any insight on this topic?

MaxwelllzZ commented 5 months ago

Thank you for sharing this insightful study, Prof. Guilbeault. Considering the findings that visual content from platforms like Google and Wikipedia exhibits more significant gender bias than textual content, what measures can these platforms and their users undertake to ensure a more equitable and balanced gender representation in online imagery?

Kevin2330 commented 5 months ago

Dear Prof. Guilbeault,

Your research found gender bias to be more prevalent in images than in text. Could you elaborate on the specific metrics or indicators used to quantify and compare bias across these different mediums? How do these metrics account for subtleties and nuances in gender representation?