87 citations · 377 across the 33 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls
Siva K. Balasubramanian, Mustafa Bilgic, Aron Culotta +3
The Internet Research Agency (IRA) influences online political conversations in the United States, exacerbating existing partisan divides and sowing discord. In this paper we inves…
Two Computational Models for Analyzing Political Attention in Social Media
Libby Hemphill, Angela M. Schöpke-Gonzalez
Understanding how political attention is divided and over what subjects is crucial for research on areas such as agenda setting, framing, and political rhetoric. Existing methods f…
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
David Jurgens, Eshwar Chandrasekharan, Libby Hemphill
Online abusive behavior affects millions and the NLP community has attempted to mitigate this problem by developing technologies to detect abuse. However, current methods have larg…
Still out there: Modeling and Identifying Russian Troll Accounts on Twitter
Jane Im, Eshwar Chandrasekharan, Jackson Sargent +6
There is evidence that Russia's Internet Research Agency attempted to interfere with the 2016 U.S. election by running fake accounts on Twitter - often referred to as "Russian trol…
More Specificity, More Attention to Social Context: Reframing How We Address "Bad Actors"
Libby Hemphill
To address "bad actors" online, I argue for more specific definitions of acceptable and unacceptable behaviors and explicit attention to the social structures in which behaviors oc…