Project Grant N000142112121

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...

The National Science Foundation awarded a two-year, $220,000 Project Grant to the Research Foundation For The State University Of New York under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research to develop techniques for detecting accounts involved in influence campaigns on social media platforms. Leveraging its expertise in computational social science, the State University of New York at Binghamton will collaborate with other...

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 three-year $250,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Purdue University to develop robust learning and inference protocols for mitigating information pollution on social computing platforms. The investigators will define novel natural language processing and algorithmic inference tasks to characterize the similarities and...

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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) provides $595,398 over 3 years to the University of Delaware to develop novel methods for understanding social influence diffusion through online social media. The key objectives are to establish "query-decision regression" as a principled decision-making framework for modeling influence spread, in contrast to conventional...

This $599,999 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a human-centered AI framework for assessing information integrity and providing explanations, with a focus on COVID-19-related content. The project aims to integrate the strengths of expert and non-expert crowdsourced workers with AI models to accurately identify and explain issues with information integrity in...

The National Science Foundation awarded a $250,000 Project Grant to The Trustees of the University of Pennsylvania under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research to develop robust learning and inference protocols for mitigating information pollution on social computing platforms. Key activities include defining the concept of information pollution and methods for combating its effects. Researchers will create a...

This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $200,000 to the University of North Carolina at Chapel Hill to support rapid collection of social media data in key election contexts through July 2023. The university will collect social media data from candidates' public accounts and related background characteristics for elections in...

This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $269,376 to the University of Michigan from October 1, 2022 to September 30, 2025. The grant supports research to develop computational models and algorithms that promote truth discovery and robust social learning on social media platforms. Specifically, the university researchers...