This $200,000 Project Grant award from the National Science Foundation's (CFDA 47.075) Social, Behavioral, and Economic Sciences program supports a cross-national study to investigate how algorithms that shape information on social media platforms can promote mutual understanding, increase trust, and affect polarization. The project employs generative artificial intelligence, agent-based models, and online experiments to prototype alternative newsfeed algorithms and analyze their impact....
This $322,812 project grant, awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research to advance the understanding of how people engage with news online and how their behaviors evolve over time. The key products and services to be delivered include: Developing computational models to identify different types of news engagement behaviors and their progression stages, using advanced language and user modeling...
This $323,388 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research examining how technological augmentations can enhance collective learning and creativity. The project aims to develop large-scale online experiments and computational models to understand the parameters that drive group-directed learning in areas like cooperative behavior, collective intelligence, and collective creativity. The...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award, valued at $160,000, supports an early career postdoctoral scientist examining the effectiveness of using social queries to address the dissemination of inaccurate online information. The two-year fellowship, sponsored by researchers at the University of Washington and Vanderbilt University, will involve three components: 1) experimental testing of quickly applying social queries,...
This $272,750 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research at the Massachusetts Institute of Technology (MIT) on how people make decisions and interact based on information. The key research focuses include: 1) understanding the long-term implications of people's limited or imperfect memory, which can lead to overconfidence and neglect of rare events; 2) examining how people decide...
This $286,178 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research on how changes in information dissemination and consumption can impact strategic decision-making and the achievement of common goals. The project aims to develop new methodological tools to measure information similarity across individuals and analyze its effects on collective action problems, coordination games, and policy...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a cloud-based research infrastructure to enable studies on news recommender systems. The project will create an experimental news recommender community that allows researchers nationwide to test different algorithms and interfaces, and study how they affect user behavior and the diversity of information presented. The...
This $404,941 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research by Northeastern University to develop methods for integrating societal values into social media algorithms. The key products or services to be delivered include: Introducing a novel approach to leverage social science constructs and measurements to build algorithmic objective functions, referred to as...
This National Science Foundation (NSF) Division of Social and Economic Science Project Grant award of $234,489 supports collaborative research at New York University (NYU) from September 1, 2023 to August 31, 2026. The primary objectives are to: Conduct a series of experiments to understand how people form subjective causal models based on observed data patterns, and how these models may be influenced by preconceptions triggered by natural contexts. This will provide insights into how economic...
This $195,213 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund the University of Southern California's investigation of misinformation beliefs expressed and spread online from September 2021 through August 2022. A sub-award of $TBD will support related research efforts at the University of California, Los Angeles. The goal of the NSF's Social, Behavioral, and Economic Sciences program is to support basic research that contributes to...