29 citations · 79 across the 11 of their papers we have counts for
13 papers
Modest Algorithmic Mediation can Maximize Topical Diversity in Hybrid Human-AI Systems
Dini Wang, Ho-Chun Herbert Chang
In the artificial intelligence (AI) era, the rise of algorithmic feeds has fundamentally transformed information diffusion on social media. While early platforms organized visibili…
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
Virginia K. Felkner, Ho-Chun Herbert Chang, Eugene Jang +1
We present WinoQueer: a benchmark specifically designed to measure whether large language models (LLMs) encode biases that are harmful to the LGBTQ+ community. The benchmark is com…
Complex Systems of Secrecy: The Offshore Networks of Oligarchs
Ho-Chun Herbert Chang, Brooke Harrington, Feng Fu +1
Following the invasion of Ukraine, the US, UK, and EU governments--among others--sanctioned oligarchs close to Putin. This approach has come under scrutiny, as evidence has emerged…
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
Virginia K. Felkner, Ho-Chun Herbert Chang, Eugene Jang +1
This paper presents exploratory work on whether and to what extent biases against queer and trans people are encoded in large language models (LLMs) such as BERT. We also propose a…
What are Your Pronouns? Examining Gender Pronoun Usage on Twitter
Julie Jiang, Emily Chen, Luca Luceri +4
Stating your gender pronouns, along with your name, is becoming the new norm of self-introductions at school, at the workplace, and online. The increasing prevalence and awareness…
Parasocial diffusion: K-pop fandoms help drive COVID-19 public health messaging on social media
Ho-Chun Herbert Chang, Becky Pham, Emilio Ferrara
We examine an unexpected but significant source of positive public health messaging during the COVID-19 pandemic -- K-pop fandoms. Leveraging more than 7 million tweets related to…
Targeted Ads and/as Racial Discrimination: Exploring Trends in New York City Ads for College Scholarships
Ho-Chun Herbert Chang, Matt Bui, Charlton McIlwain
This paper uses and recycles data from a third-party digital marketing firm, to explore how targeted ads contribute to larger systems of racial discrimination. Focusing on a case s…
Social Bots and Social Media Manipulation in 2020: The Year in Review
Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang +2
The year 2020 will be remembered for two events of global significance: the COVID-19 pandemic and 2020 U.S. Presidential Election. In this chapter, we summarize recent studies usin…
Tracking e-cigarette warning label compliance on Instagram with deep learning
Chris J. Kennedy, Julia Vassey, Ho-Chun Herbert Chang +2
The U.S. Food & Drug Administration (FDA) requires that e-cigarette advertisements include a prominent warning label that reminds consumers that nicotine is addictive. However, the…
Elitism in Mathematics and Inequality
Ho-Chun Herbert Chang, Feng Fu
The Fields Medal, often referred as the Nobel Prize of mathematics, is awarded to no more than four mathematician under the age of 40, every four years. In recent years, its confer…
Multi-Issue Bargaining With Deep Reinforcement Learning
Ho-Chun Herbert Chang
Negotiation is a process where agents aim to work through disputes and maximize their surplus. As the use of deep reinforcement learning in bargaining games is unexplored, this pap…
Co-Contagion Diffusion on Multilayer Networks
Ho-Chun Herbert Chang, Feng Fu
This study examines the interface of three elements during co-contagion diffusion: the \textbf{synergy} between contagions, the \textbf{dormancy} rate of each individual contagion,…
Co-Diffusion of Social Contagions
Ho-Chun Herbert Chang, Feng Fu
Prior social contagion models consider the spread of either one contagion at a time on interdependent networks or multiple contagions on single layer networks or under assumptions…