“Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.”
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Lyu, Siwei. "Deepfake detection improves when using algorithms that are more aware of demographic diversity." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 23 Apr. 2024. Web. 24 Nov. 2024.
APA
Lyu, S. (2024, Apr. 23). Deepfake detection improves when using algorithms that are more aware of demographic diversity. Nieman Journalism Lab. Retrieved November 24, 2024, from https://www.niemanlab.org/2024/04/deepfake-detection-improves-when-using-algorithms-that-are-more-aware-of-demographic-diversity/
Chicago
Lyu, Siwei. "Deepfake detection improves when using algorithms that are more aware of demographic diversity." Nieman Journalism Lab. Last modified April 23, 2024. Accessed November 24, 2024. https://www.niemanlab.org/2024/04/deepfake-detection-improves-when-using-algorithms-that-are-more-aware-of-demographic-diversity/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2024/04/deepfake-detection-improves-when-using-algorithms-that-are-more-aware-of-demographic-diversity/
| title = Deepfake detection improves when using algorithms that are more aware of demographic diversity
| last = Lyu
| first = Siwei
| work = [[Nieman Journalism Lab]]
| date = 23 April 2024
| accessdate = 24 November 2024
| ref = {{harvid|Lyu|2024}}
}}
