10 citations · 14 across the 5 of their papers we have counts for
5 papers
Persona Setting Pitfall: Persistent Outgroup Biases in Large Language Models Arising from Social Identity Adoption
Wenchao Dong, Assem Zhunis, Dongyoung Jeong +3
Drawing parallels between human cognition and artificial intelligence, we explored how large language models (LLMs) internalize identities imposed by targeted prompts. Informed by…
I Am Not Them: Fluid Identities and Persistent Out-group Bias in Large Language Models
Wenchao Dong, Assem Zhunis, Hyojin Chin +2
We explored cultural biases-individualism vs. collectivism-in ChatGPT across three Western languages (i.e., English, German, and French) and three Eastern languages (i.e., Chinese,…
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
Jiwoo Hong, Yejin Cho, Jaemin Jung +2
We address an important gap in detecting political bias in news articles. Previous works that perform document classification can be influenced by the writing style of each news ou…
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
Seonyeong Song, Hyeonho Song, Kunwoo Park +2
Quotes are critical for establishing credibility in news articles. A direct quote enclosed in quotation marks has a strong visual appeal and is a sign of a reliable citation. Unfor…
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter
Sungkyu Park, Sungwon Han, Jeongwook Kim +6
COVID-19 has become one of the most widely talked about topics on social media. This research characterizes risk communication patterns by analyzing the public discourse on the nov…