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pro vyhledávání: '"Chen, Kaiping"'
In the evolving landscape of computer vision (CV) technologies, the automatic detection and interpretation of gender and emotion in images is a critical area of study. This paper investigates social biases in CV models, emphasizing the limitations of
Externí odkaz:
http://arxiv.org/abs/2406.08222
Autor:
Duan, Zening, Shao, Anqi, Hu, Yicheng, Lee, Heysung, Liao, Xining, Suh, Yoo Ji, Kim, Jisoo, Yang, Kai-Cheng, Chen, Kaiping, Yang, Sijia
While researchers often study message features like moral content in text, such as party manifestos and social media, their quantification remains a challenge. Conventional human coding struggles with scalability and intercoder reliability. While dic
Externí odkaz:
http://arxiv.org/abs/2312.05990
Autoregressive language models, which use deep learning to produce human-like texts, have become increasingly widespread. Such models are powering popular virtual assistants in areas like smart health, finance, and autonomous driving. While the param
Externí odkaz:
http://arxiv.org/abs/2209.13627
Misinformation and intergroup bias are two pathologies challenging informed citizenship. This paper examines how identity language is used in misinformation and debunking messages about controversial science on Chinese digital public sphere, and thei
Externí odkaz:
http://arxiv.org/abs/2112.07968
Publikováno v:
In The American Journal of Pathology September 2024 194(9):1764-1779
Recent years have witnessed an explosion of science conspiracy videos on the Internet, challenging science epistemology and public understanding of science. Scholars have started to examine the persuasion techniques used in conspiracy messages such a
Externí odkaz:
http://arxiv.org/abs/2102.01163
This paper studies conspiracy and debunking narratives about COVID-19 origination on a major Chinese social media platform, Weibo, from January to April 2020. Popular conspiracies about COVID-19 on Weibo, including that the virus is human-synthesized
Externí odkaz:
http://arxiv.org/abs/2011.08409
Akademický článek
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Autor:
Chen, Kaiping1 (AUTHOR) kchen67@wisc.edu, Shao, Anqi1 (AUTHOR), Burapacheep, Jirayu2 (AUTHOR), Li, Yixuan3 (AUTHOR)
Publikováno v:
Scientific Reports. 1/18/2024, Vol. 13 Issue 1, p1-12. 12p.
Autor:
Hou, Xiao, Gao, Song, Li, Qin, Kang, Yuhao, Chen, Nan, Chen, Kaiping, Rao, Jinmeng, Ellenberg, Jordan S., Patz, Jonathan A.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Jun . 118(24), 1-9.
Externí odkaz:
https://www.jstor.org/stable/27040683