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20232026
most citedLeveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums

4 citations · 10 across the 15 of their papers we have counts for

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cs.CL2024

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities

Minh Duc Chu, Zihao He, Rebecca Dorn +1

Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs…

cs.SI2024★ 4 cited

Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums

Minh Duc Chu, Cinthia Sánchez, Zihao He +3

The pervasive expectations about ideal body types in Western society can lead to body image concerns, dissatisfaction, and in extreme cases, eating disorders and other psychopathol…

cs.CL2024

COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities

Zihao He, Minh Duc Chu, Rebecca Dorn +2

Social scientists use surveys to probe the opinions and beliefs of populations, but these methods are slow, costly, and prone to biases. Recent advances in large language models (L…

cs.CL2024

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations

Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar +5

Researchers have raised awareness about the harms of aggregating labels especially in subjective tasks that naturally contain disagreements among human annotators. In this work we…

cs.CL2024★ 1 cited

Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities

Zihao He, Ashwin Rao, Siyi Guo +2

Recent advances in NLP have improved our ability to understand the nuanced worldviews of online communities. Existing research focused on probing ideological stances treats liberal…

cs.CL2024

How Susceptible are Large Language Models to Ideological Manipulation?

Kai Chen, Zihao He, Jun Yan +2

Large Language Models (LLMs) possess the potential to exert substantial influence on public perceptions and interactions with information. This raises concerns about the societal i…

cs.CL2024

Whose Emotions and Moral Sentiments Do Language Models Reflect?

Zihao He, Siyi Guo, Ashwin Rao +1

Language models (LMs) are known to represent the perspectives of some social groups better than others, which may impact their performance, especially on subjective tasks such as c…

cs.SI2024★ 1 cited

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape

Siyi Guo, Zihao He, Ashwin Rao +3

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely m…

cs.SI2024

Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities

Minh Duc Chu, Zihao He, Rebecca Dorn +1

Eating disorders (ED), a severe mental health condition with high rates of mortality and morbidity, affect millions of people globally, especially adolescents. The proliferation of…

cs.SI2024★ 1 cited

IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict

Kai Chen, Zihao He, Keith Burghardt +2

The conflict between Israel and Palestinians significantly escalated after the October 7, 2023 Hamas attack, capturing global attention. To understand the public discourse on this…