37 citations · 158 across the 56 of their papers we have counts for
8 papers · 1 filter
Comparison of Online Maneuvers by Authentic and Inauthentic Local News Organizations
Christine Sowa Lepird, Kathleen M. Carley
Inauthentic local news organizations, otherwise known as pink slime, have become a serious problem exploiting the trust of local news since their creation ahead of the 2020 U.S. Pr…
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
Rex Chen, Kathleen M. Carley, Fei Fang +1
Traffic simulators are used to generate data for learning in intelligent transportation systems (ITSs). A key question is to what extent their modelling assumptions affect the capa…
Tracking China's cross-strait bot networks against Taiwan
Charity S. Jacobs, Lynnette Hui Xian Ng, Kathleen M. Carley
The cross-strait relationship between China and Taiwan is marked by increasing hostility around potential reunification. We analyze an unattributed bot network and how repeater bot…
Simulating the social influence in transport mode choices
Kathleen Salazar-Serna, Lynnette Hui Xian Ng, Lorena Cadavid +2
Agent-based simulations have been used in modeling transportation systems for traffic management and passenger flows. In this work, we hope to shed light on the complex factors tha…
Simulation of Stance Perturbations
Peter Carragher, Lynnette Hui Xian Ng, Kathleen M. Carley
In this work, we analyze the circumstances under which social influence operations are likely to succeed. These circumstances include the selection of Confederate agents to execute…
Identity Construction in a Misogynist Incels Forum
Michael Miller Yoder, Chloe Perry, David West Brown +2
Online communities of involuntary celibates (incels) are a prominent source of misogynist hate speech. In this paper, we use quantitative text and network analysis approaches to ex…
A Weakly Supervised Classifier and Dataset of White Supremacist Language
Michael Miller Yoder, Ahmad Diab, David West Brown +1
We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech. Our weakly supervised classifier is trained on…
Identity-Based Attribute Prototypes Distinguish Communities on Twitter
Thomas Magelinski, Kathleen M. Carley
This paper examines the link between conversational communities on Twitter and their members' expressions of social identity. It specifically tests the presence of community protot…