Zobrazeno 1 - 10
of 503
pro vyhledávání: '"He, Zihao"'
Large language models (LLMs) have shown promise in representing individuals and communities, offering new ways to study complex social dynamics. However, effectively aligning LLMs with specific human groups and systematically assessing the fidelity o
Externí odkaz:
http://arxiv.org/abs/2408.09366
The gendered expectations about ideal body types can lead to body image concerns, dissatisfaction, and in extreme cases, disordered eating and other psychopathologies across the gender spectrum. While research has focused on pro-anorexia online commu
Externí odkaz:
http://arxiv.org/abs/2407.03551
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 (LLMs) enable creating computational representations or "digital twins"
Externí odkaz:
http://arxiv.org/abs/2406.12074
Autor:
Anand, Abhishek, Mokhberian, Negar, Kumar, Prathyusha Naresh, Saha, Anweasha, He, Zihao, Rao, Ashwin, Morstatter, Fred, Lerman, Kristina
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 show that models that are only provided aggregated labels show low con
Externí odkaz:
http://arxiv.org/abs/2403.04085
Large Language Models (LLMs) possess the potential to exert substantial influence on public perceptions and interactions with information. This raises concerns about the societal impact that could arise if the ideologies within these models can be ea
Externí odkaz:
http://arxiv.org/abs/2402.11725
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 content moderation and hate speech detection. To explore how LMs repres
Externí odkaz:
http://arxiv.org/abs/2402.11114
Recent advances in NLP have improved our ability to understand the nuanced worldviews of online communities. Existing research focused on probing ideological stances treats liberals and conservatives as separate groups. However, this fails to account
Externí odkaz:
http://arxiv.org/abs/2402.01091
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 online communities that promote and normalize ED has been linked to t
Externí odkaz:
http://arxiv.org/abs/2401.09647
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 conflict, we present a meticulously compiled dataset-IsamasRed-compris
Externí odkaz:
http://arxiv.org/abs/2401.08202
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 manner. However, using these data to understand social behavior is diff
Externí odkaz:
http://arxiv.org/abs/2401.06275