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MLA
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. 23 Jul. 2024.
APA
Lyu, S. (2024, Apr. 23). Deepfake detection improves when using algorithms that are more aware of demographic diversity. Nieman Journalism Lab. Retrieved July 23, 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 July 23, 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 = 23 July 2024
| ref = {{harvid|Lyu|2024}}
}}
The Nieman Journalism Lab is a collaborative attempt to figure out how quality journalism can survive and thrive in the Internet age.
It’s a project of the Nieman Foundation for Journalism at Harvard University.