3 citations · 6 across the 7 of their papers we have counts for
7 papers
Federating Governance: How Community Rules Scale with Mastodon Instances
Rasika Muralidharan, Yong-Yeol Ahn, Bao Tran Truong
The rise of decentralized social media platforms like Mastodon and Bluesky highlights the challenge of scaling self-governance and moderation. As communities grow, they face new is…
LLMs Can Infer Political Alignment from Online Conversations
Byunghwee Lee, Sangyeon Kim, Filippo Menczer +3
Due to the correlational structure in our traits such as identities, cultures, and political attitudes, seemingly innocuous preferences like following a band or using a specific sl…
What Helps Language Models Predict Human Beliefs: Demographics or Prior Stances?
Joseph Malone, Rachith Aiyappa, Byunghwee Lee +3
Beliefs shape how people reason, communicate, and behave. Rather than existing in isolation, they exhibit a rich correlational structure--some connected through logical dependencie…
Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition-Informed Approach to Quantifying Identity Fusion from Text
Devin R. Wright, Jisun An, Yong-Yeol Ahn
Quantifying identity fusion -- the psychological merging of self with another entity or abstract target (e.g., a religious group, political party, ideology, value, brand, belief, e…
A semantic embedding space based on large language models for modelling human beliefs
Byunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn +2
Beliefs form the foundation of human cognition and decision-making, guiding our actions and social connections. A model encapsulating beliefs and their interrelationships is crucia…
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim +4
Link prediction -- a task of distinguishing actual hidden edges from random unconnected node pairs -- is one of the quintessential tasks in graph machine learning. Despite being wi…
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance
Rachith Aiyappa, Shruthi Senthilmani, Jisun An +2
We investigate the performance of LLM-based zero-shot stance detection on tweets. Using FlanT5-XXL, an instruction-tuned open-source LLM, with the SemEval 2016 Tasks 6A, 6B, and P-…