25 citations · 25 across the 1 of their papers we have counts for
6 papers
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…
Crafting Moral Infrastructures: How Nonprofits Use Facebook to Survive
Libby Hemphill, A. J. Million, Ingrid Erickson
We present findings from interviews with 23 individuals affiliated with non-profit organizations (NPOs) to understand how they deploy information and communication technologies (IC…
Forecasting the presence and intensity of hostility on Instagram using linguistic and social features
Ping Liu, Joshua Guberman, Libby Hemphill +1
Online antisocial behavior, such as cyberbullying, harassment, and trolling, is a widespread problem that threatens free discussion and has negative physical and mental health cons…
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…