126 citations · 129 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 3 cited
Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals
Zening Duan, Anqi Shao, Yicheng Hu +7
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 c…
cs.CV2023★ 126 cited
Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI
Luhang Sun, Mian Wei, Yibing Sun +3
Generative AI models like DALL-E 2 can interpret textual prompts and generate high-quality images exhibiting human creativity. Though public enthusiasm is booming, systematic audit…
stat.AP2023
Adoption and implication of the Biased-Annotator Competence Estimation (BACE) model into COVID-19 vaccine Twitter data: Human annotation for latent message features
Luhang Sun, Yun-Shiuan Chuang, Yibing Sun +1
Traditional quantitative content analysis approach (human coding method) has weaknesses, such as assuming all human coders are equally accurate once the intercoder reliability for…