87 citations · 377 across the 33 of their papers we have counts for
36 papers
Navigating the Changing Landscape of Online Knowledge Consumption and Production in the Age of Generative AI: Evidence from Stack Overflow
Ji Eun Kim, Léa Vitale, Libby Hemphill +1
Online knowledge communities rely on a division of epistemic labor between users who seek information and those who produce it. Generative AI may blur these roles, but how it reall…
Reducing the rate of personal insults in social media with bystander bots
Libby Hemphill, Lingyao Li, Ryan Burton +1
Prompted by previous research on strategies for reducing interpersonal conflict and addressing problematic behaviors in online communities, a randomized controlled trial on Reddit…
The Effects of Moral Framing on Online Fundraising Outcomes: Evidence from GoFundMe Campaigns
Ji Eun Kim, Libby Hemphill
This study examines the impact of moral framing on fundraising outcomes, including both monetary and social support, by analyzing a dataset of 14,088 campaigns posted on GoFundMe.…
Evaluating how LLM annotations represent diverse views on contentious topics
Megan A. Brown, Shubham Atreja, Libby Hemphill +1
Researchers have proposed the use of generative large language models (LLMs) to label data for research and applied settings. This literature emphasizes the improved performance of…
The Spread of Virtual Gifting in Live Streaming: The Case of Twitch
Ji Eun Kim, Seura Ha, Sangmi Kim +1
This paper examines how gifting spreads among viewers on Twitch, one of the largest live streaming platforms worldwide. Twitch users can give gift subscriptions to other viewers in…
Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics
Lizhou Fan, Lingyao Li, Libby Hemphill
Background: Online toxicity, encompassing behaviors such as harassment, bullying, hate speech, and the dissemination of misinformation, has become a pressing social concern in the…
Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design
Lingyao Li, Songhua Hu, Yinpei Dai +9
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in…
Academic collaboration on large language model studies increases overall but varies across disciplines
Lingyao Li, Ly Dinh, Songhua Hu +1
Interdisciplinary collaboration is crucial for addressing complex scientific challenges. Recent advancements in large language models (LLMs) have shown significant potential in ben…
Crowdsourced reviews reveal substantial disparities in public perceptions of parking
Lingyao Li, Songhua Hu, Ly Dinh +1
Due to increased reliance on private vehicles and growing travel demand, parking remains a longstanding urban challenge globally. Quantifying parking perceptions is paramount as it…
Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways
Shubham Atreja, Joshua Ashkinaze, Lingyao Li +2
Manually annotating data for computational social science tasks can be costly, time-consuming, and emotionally draining. While recent work suggests that LLMs can perform such annot…
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
Lingyao Li, Jiayan Zhou, Zhenxiang Gao +8
Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and a…
Crowdsourcing public attitudes toward local services through the lens of Google Maps reviews: An urban density-based perspective
Lingyao Li, Songhua Hu, Atiyya Shaw +1
Understanding how urban density impacts public perceptions of urban service is important for informing livable, accessible, and equitable urban planning. Conventional methods such…
Landscape of Generative AI in Global News: Topics, Sentiments, and Spatiotemporal Analysis
Lu Xian, Lingyao Li, Yiwei Xu +2
Generative AI has exhibited considerable potential to transform various industries and public life. The role of news media coverage of generative AI is pivotal in shaping public pe…
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
Lizhou Fan, Wenyue Hua, Lingyao Li +2
Complex reasoning ability is one of the most important features of current LLMs, which has also been leveraged to play an integral role in complex decision-making tasks. Therefore,…
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
Wenyue Hua, Lizhou Fan, Lingyao Li +5
Can we avoid wars at the crossroads of history? This question has been pursued by individuals, scholars, policymakers, and organizations throughout human history. In this research,…
How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments
Angela Schöpke-Gonzalez, Siqi Wu, Sagar Kumar +2
Computational social science research has made advances in machine learning and natural language processing that support content moderators in detecting harmful content. These adva…
Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season
Zihui Ma, Lingyao Li, Libby Hemphill +2
Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communit…
DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization
Lizhou Fan, Sara Lafia, Lingyao Li +2
Data users need relevant context and research expertise to effectively search for and identify relevant datasets. Leading data providers, such as the Inter-university Consortium fo…
ChatGPT in education: A discourse analysis of worries and concerns on social media
Lingyao Li, Zihui Ma, Lizhou Fan +3
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and conce…
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
Lingyao Li, Lizhou Fan, Shubham Atreja +1
Harmful content is pervasive on social media, poisoning online communities and negatively impacting participation. A common approach to address this issue is to develop detection m…
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma +3
Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become…
How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Sara Lafia, Andrea Thomer, Elizabeth Moss +2
Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, w…
AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals
Shubham Atreja, Jane Im, Paul Resnick +1
As content moderation becomes a central aspect of all social media platforms and online communities, interest has grown in how to make moderation decisions contestable. On social m…
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature
Sara Lafia, Lizhou Fan, Libby Hemphill
Discovering authoritative links between publications and the datasets that they use can be a labor-intensive process. We introduce a natural language processing pipeline that retri…