activity
20182026
most cited"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

87 citations · 377 across the 33 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.SI2024★ 1 cited

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…

cs.SI2024

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…

cs.SI2024★ 1 cited

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…

cs.CY2024

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…

cs.AI2024★ 17 cited

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…

cs.ET2024★ 21 cited

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…