Enhancing Algorithmic Transparency and User Control

Increasing the transparency of algorithmic decision-making processes and giving users more control over how their data is used can help mitigate the effects of gender bias online. This involves clear communication regarding the workings of algorithms, the types of data collected, and how it is employed, alongside providing users with the ability to opt-out of personalized data analysis.

Increasing the transparency of algorithmic decision-making processes and giving users more control over how their data is used can help mitigate the effects of gender bias online. This involves clear communication regarding the workings of algorithms, the types of data collected, and how it is employed, alongside providing users with the ability to opt-out of personalized data analysis.

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