“We are…deeply worried that despite this partnership, OpenAI may be downplaying rather than elevating our works,” Business Insider’s union wrote in a letter to management.
“The coverage tends to be led by industry sources and often takes claims about what the technology can and can’t do, and might be able to do in the future, at face value in ways that contribute to the hype cycle.”
“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.”
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. 11 Aug. 2024.
APA
Lyu, S. (2024, Apr. 23). Deepfake detection improves when using algorithms that are more aware of demographic diversity. Nieman Journalism Lab. Retrieved August 11, 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 August 11, 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 = 11 August 2024
| ref = {{harvid|Lyu|2024}}
}}