733 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Cornell UniversityUS156 papers
- Jacobs InstituteUS11 papers
- Carnegie Mellon UniversityUS9 papers
- Google (United States)US9 papers
- Massachusetts Institute of TechnologyUS8 papers
- Stanford UniversityUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- University of WashingtonUS6 papers
- University of California, BerkeleyUS5 papers
- University of PennsylvaniaUS5 papers
- Weill Cornell MedicineUS5 papers
15 papers · 1 filter
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
The Granger framework is useful for discovering causal relations in time-varying signals. However, most Granger causality (GC) methods are developed for densely sampled timeseries…
Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign
Hana Matatov, Mor Naaman, Ofra Amir
Images are powerful. Visual information can attract attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the…
Uncovering Visually Impaired Gamers' Preferences for Spatial Awareness Tools Within Video Games
Vishnu Nair, Shao-en Ma, Ricardo E. Gonzalez Penuela +6
Sighted players gain spatial awareness within video games through sight and spatial awareness tools (SATs) such as minimaps. Visually impaired players (VIPs), however, must often r…
Implementing a Hierarchical Deep Learning Approach for Simulating Multi-Level Auction Data
Igor Sadoune, Andrea Lodi, Marcelin Joanis
We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of au…
How to Assess Trustworthy AI in Practice
Roberto V. Zicari, Julia Amann, Frédérick Bruneault +17
This report is a methodological reflection on Z-Inspection. Z-Inspection is a holistic process used to evaluate the trustworthiness of A…
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects
Benjamin Laufer, Sameer Jain, A. Feder Cooper +2
Fairness, Accountability, and Transparency (FAccT) for socio-technical systems has been a thriving area of research in recent years. An ACM conference bearing the same name has bee…
Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire…
Neural 3D Reconstruction in the Wild
Jiaming Sun, Xi Chen, Qianqian Wang +4
We are witnessing an explosion of neural implicit representations in computer vision and graphics. Their applicability has recently expanded beyond tasks such as shape generation a…
Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng +2
We present an empirical study exploring how privacy influences the acceptance of vaccination certificate (VC) deployments across different realistic usage scenarios. The study empl…
Strategic Latency Reduction in Blockchain Peer-to-Peer Networks
Weizhao Tang, Lucianna Kiffer, Giulia Fanti +1
Most permissionless blockchain networks run on peer-to-peer (P2P) networks, which offer flexibility and decentralization at the expense of performance (e.g., network latency). Hist…
Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing
Zhi Liu, Uma Bhandaram, Nikhil Garg
Modern city governance relies heavily on crowdsourcing to identify problems such as downed trees and power lines. A major concern is that residents do not report problems at the sa…
Characterizing Alternative Monetization Strategies on YouTube
Yiqing Hua, Manoel Horta Ribeiro, Robert West +2
One of the key emerging roles of the YouTube platform is providing creators the ability to generate revenue from their content and interactions. Alongside tools provided directly b…
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas +2
Estimating the effect of intervention from observational data while accounting for confounding variables is a key task in causal inference. Oftentimes, the confounders are unobserv…
Characterizing Reddit Participation of Users Who Engage in the QAnon Conspiracy Theories
Kristen Engel, Yiqing Hua, Taixiang Zeng +1
Widespread conspiracy theories may significantly impact our society. This paper focuses on the QAnon conspiracy theory, a consequential conspiracy theory that started on and dissem…
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer +1
In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential f…