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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) in the amount of $395,059 will support research at the University of Washington to develop techniques for encoding societal values into social media ranking algorithms. The key objectives are: Introduce a novel method using large language models to build algorithmic objective functions that represent social science constructs, referred to...
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 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 $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
This $150,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the creation of research infrastructure to advance social artificial intelligence. The Leland Stanford Junior University will develop processes for collecting and annotating multimodal, cross-cultural datasets of social communication in an ethical and sustainable manner. They will also organize workshops around data collection needs to build models...
This $400,000 Project Grant awarded by the National Science Foundation Division of Information and Intelligent Systems under CFDA 47.070 (Computer and Information Science and Engineering) supports collaborative research to develop responsible methods for the design and validation of algorithmic rankers. The key objectives are to: Quantify the impact of item attributes and engineering choices on ranked outcomes to guide the selection of appropriate scoring functions. Quantify the impact of data...
The National Science Foundation (NSF) awarded a $400,000 Project Grant to the New Jersey Institute of Technology (NJIT) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The four-year grant, effective from September 1, 2023 to August 31, 2027, supports collaborative research on the responsible design and validation of algorithmic rankers. The project aims to develop methods to: 1) quantify the impact of item attributes and data engineering choices on ranked...
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...