1 citations · 1 across the 7 of their papers we have counts for
8 papers
Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015
Keith Burghardt, Johannes H. Uhl, Kristina Lerman +1
Despite the rapid growth of cities in the past century, our quantitative, in-depth understanding of how cities grow remains limited due to a consistent lack of historical data. Thu…
Bias Reduction in Social Networks through Agent-Based Simulations
Nathan Bartley, Keith Burghardt, Kristina Lerman
Online social networks use recommender systems to suggest relevant information to their users in the form of personalized timelines. Studying how these systems expose people to inf…
RTs != Endorsements: Rethinking Exposure Fairness on Social Media Platforms
Nathan Bartley, Kristina Lerman
Recommender systems underpin many of the personalized services in the online information & social media ecosystem. However, the assumptions in the research on content recommendatio…
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames
Keith Burghardt, Kai Chen, Kristina Lerman
Adversarial information operations can destabilize societies by undermining fair elections, manipulating public opinions on policies, and promoting scams. Despite their widespread…
Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers
Daniel Hickey, Matheus Schmitz, Daniel M. T. Fessler +4
Counterspeech has gained attention as a strategy to reduce hate speech on social media. Although previous studies suggest that counterspeech can reduce hate speech, little is known…
Posts of Peril: Detecting Information About Hazards in Text
Keith Burghardt, Daniel M. T. Fessler, Chyna Tang +2
Socio-linguistic indicators of affectively-relevant phenomena, such as emotion or sentiment, are often extracted from text to better understand features of human-computer interacti…
The Peripatetic Hater: Predicting Movement Among Hate Subreddits
Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman +1
Many online hate groups exist to disparage others based on race, gender identity, sex, or other characteristics. The accessibility of these communities allows users to join multipl…
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo, Keith Burghardt, Valeria Pantè +1
Social media user representation learning aims to capture user preferences, interests, and behaviors in low-dimensional vector representations. These representations are critical t…