Project Grant 2436762

Award Date 9/15/24
Completion Date 8/31/26
Dollars Obligated $200K
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Durham, NC 27705, USA
Similar Awards
This Project Grant award, valued at $200,000.00, was provided by the National Science Foundation (NSF) under the Federal Grant Program for Social, Behavioral, and Economic Sciences (CFDA 47.075). The project, conducted by New York University (NYU), is examining the causal impact of social media usage on individual well-being and out-group animosity across multiple countries through a global field experiment. The research team is incentivizing a large sample of people to temporarily reduce...
This National Science Foundation project grant awarded $100,000 to Arizona State University to fund research into opinion formation and graph dynamics on social media platforms from September 1, 2022 to August 31, 2025. The award aims to develop mathematical models of the interplay between social networks and opinion dynamics to better understand the rise of polarization and echo chambers in online discourse. A subaward of $25,000 was provided to Artis Research & Risk Modeling Corporation to...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $400,000 to The Leland Stanford Junior University to research methods for encoding societal values into social media ranking algorithms. The key goals are to: 1) develop techniques for translating social science constructs into algorithmic objective functions, 2) create a library of societal objective functions based on validated theory, and...
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 $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) Project Grant award, with Catalog of Federal Domestic Assistance (CFDA) program number 47.075 for the Social, Behavioral, and Economic Sciences, provides $350,000.00 in funding from June 1, 2025 to May 31, 2028. The award aims to develop a simulation tool to model the information ecosystem, specifically how content spreads and is consumed by people in a network. Using agent-based modeling techniques, the project incorporates features of information flow,...
This $299,959 EAGER award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a project that tests theories of reinforcement to promote high-quality, balanced news and public affairs information on social media. The project team at the University of California, Davis is designing and evaluating two interventions that nudge social media algorithms to improve news and public affairs recommendations. One intervention uses...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 supports a 2-year postdoctoral fellowship to investigate the causal impact of social media on psychological outcomes. The postdoctoral fellow, under the sponsorship of Dr. Jay Van Bavel at New York University, will conduct a field experiment to examine how temporarily reducing social media usage affects variables such as intergroup attitudes, well-being, and news...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $105,524 to the University of Illinois to investigate the demographic biases in "social polls" conducted on social media platforms. The key goals of this 2-year project are to: Identify biased social media polls that misrepresent public opinion and evaluate the demographic biases in user engagement with these polls. Examine the prevalence and usage...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $389,385, is aimed at helping communities better support the facilitation of audience engagement and information sharing in real-time social media. The primary goals of the project are to: Develop tools that support hosts of real-time social media in facilitating audience participation, including modeling audience behaviors and...

This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $200,000 to Duke University to conduct a cross-national study using generative artificial intelligence, social simulation models, and online experiments. The goal is to identify how social media algorithms can be redesigned to promote mutual understanding, increase trust, and reduce polarization. The research design involves training large language models to simulate social media users, prototyping alternative newsfeed algorithms, and conducting randomized controlled trials to assess their impact on social norms, trust, and polarization. This project aims to inform future business leaders and policymakers within the social media industry by revealing how digital platforms can foster productive discussions and greater mutual understanding.

Generated 6/17/25, 4:51 AM