3 citations · 13 across the 10 of their papers we have counts for
12 papers
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies
Zihao He, Siyi Guo, Ashwin Rao +1
Social media platforms are rife with politically charged discussions. Therefore, accurately deciphering and predicting partisan biases using Large Language Models (LLMs) is increas…
Affective Polarization and Dynamics of Information Spread in Online Networks
Kristina Lerman, Dan Feldman, Zihao He +1
Members of different political groups not only disagree about issues but also dislike and distrust each other. While social media can amplify this emotional divide -- called affect…
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts
Keith Burghardt, Ashwin Rao, Siyi Guo +6
Online manipulation is a pressing concern for democracies, but the actions and strategies of coordinated inauthentic accounts, which have been used to interfere in elections, are n…
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter
Kristina Lerman, Aryan Karnati, Shuchan Zhou +5
The rise in eating disorders, a condition with serious health complications, has been linked to the proliferation of idealized body images on social media platforms. However, the r…
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities
Zihao He, Jonathan May, Kristina Lerman
Detecting norm violations in online communities is critical to maintaining healthy and safe spaces for online discussions. Existing machine learning approaches often struggle to ad…
ALCAP: Alignment-Augmented Music Captioner
Zihao He, Weituo Hao, Wei-Tsung Lu +3
Music captioning has gained significant attention in the wake of the rising prominence of streaming media platforms. Traditional approaches often prioritize either the audio or lyr…
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
Kai Chen, Zihao He, Rong-Ching Chang +2
Emotions play an important role in interpersonal interactions and social conflict, yet their function in the development of controversy and disagreement in online conversations has…
Infusing Knowledge from Wikipedia to Enhance Stance Detection
Zihao He, Negar Mokhberian, Kristina Lerman
Stance detection infers a text author's attitude towards a target. This is challenging when the model lacks background knowledge about the target. Here, we show how background know…
Speaker Turn Modeling for Dialogue Act Classification
Zihao He, Leili Tavabi, Kristina Lerman +1
Dialogue Act (DA) classification is the task of classifying utterances with respect to the function they serve in a dialogue. Existing approaches to DA classification model utteran…
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
Zihao He, Negar Mokhberian, Antonio Camara +2
Growing polarization of the news media has been blamed for fanning disagreement, controversy and even violence. Early identification of polarized topics is thus an urgent matter th…
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng +5
Convolutional neural networks (CNNs) have been successfully used in a range of tasks. However, CNNs are often viewed as "black-box" and lack of interpretability. One main reason is…
The Emergence of Heterogeneous Scaling in Research Institutions
Keith A. Burghardt, Zihao He, Allon G. Percus +1
Research institutions provide the infrastructure for scientific discovery, yet their role in the production of knowledge is not well characterized. To address this gap, we analyze…