12k citations
- Pennsylvania State UniversityUS38 papers
- Oak Ridge National LaboratoryUS35 papers
- National Institute of Standards and TechnologyUS33 papers
- Los Alamos National LaboratoryUS31 papers
- University of Maryland, College ParkUS29 papers
- Louisiana State UniversityUS28 papers
- DEVCOM Army Research LaboratoryUS26 papers
- Centre National de la Recherche ScientifiqueFR22 papers
- National High Magnetic Field LaboratoryUS19 papers
- United States Army Combat Capabilities Development CommandUS19 papers
- LSU New OrleansUS18 papers
- Michigan State UniversityUS17 papers
853 papers
Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment
Guillermo Cruces, Diego Fernandez Meijide, Sebastian Galiani +2
Does generative artificial intelligence (AI) widen or narrow productivity gaps across workers? We study this in a randomized online experiment with 1,174 adults aged 25-45 who comp…
How Does Empowering Users with Greater System Control Affect News Filter Bubbles?
Ping Liu, Karthik Shivaram, Aron Culotta +2
While recommendation systems enable users to find articles of interest, they can also create ``filter bubbles'' by presenting content that reinforces users' pre-existing beliefs. U…
Forecasting Political News Engagement on Social Media
Karthik Shivaram, Mustafa Bilgic, Matthew Shapiro +1
Understanding how political news consumption changes over time can provide insights into issues such as hyperpartisanship, filter bubbles, and misinformation. To investigate long-t…
Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning
Karthik Shivaram, Mustafa Bilgic, Matthew Shapiro +1
We propose novel methods to identify tweets that criticize partisan news sources. Prior work suggests that criticism, ridicule, and distrust of news media all play important roles…
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
Linsen Li, Aron Culotta, Nicholas Mattei
Online reviews provide valuable insights into the perceived quality of facets of a product or service. While aspect-based sentiment analysis has focused on extracting these facets…
Co-Designing Organizational Justice Indicators for Algorithmic Systems
Fujiko Robledo Yamamoto, Nicholas Mattei, Pradeep Ragothaman +2
Fairness in machine learning is often conceptualized narrowly in comparative, distributional terms. In studying stakeholders' concepts of fairness, we find that this framing is ins…