Project Grant 2135581
Award Date
10/1/22
Completion Date
9/30/25
Dollars Obligated
$250K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19104, USA
Similar Awards
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) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $160,000 provides funding for a 2-year postdoctoral fellowship to support an early career scientist examining information integrity. The project aims to develop and test an approach using "social queries" to reduce the dissemination of inaccurate information online. The research will involve 3 parts: 1) experimental testing of applying social queries, 2) large-scale...
This $187,289 National Science Foundation project grant supports research at The Pennsylvania State University to assess how online community group moderators mitigate information threats. Administered through the NSF's Computer and Information Science and Engineering program, the three-year award's goals are to evaluate platform company support and training for moderators, understand moderators' threat management practices, and examine practices during periods of increased mis/disinformation....
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...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) grant award of $121,154 to Northeastern University provides funding for a collaborative research project titled "Science and Information Integrity: Strategies for Rebuilding Trust in Science." The project aims to investigate the causes and mechanisms underlying the decline in public trust in science, with a focus on addressing both fact-level misinformation and broader trust-level threats...
This Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) to the Regents of the University of Minnesota provides $50,000 in funding to conduct fundamental research on enhancing the trustworthiness and authenticity of online information. The key objectives are to investigate social network structures and communication patterns to develop a framework for helping people find safe, useful, and trustworthy information in cyberspace. This...
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...
This $287,867 federal Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant is funding research to investigate and mitigate the harmful effects of biased social media polls that can distort public opinion perception. The key goals of the project are to: 1) Identify social media polls that misrepresent public opinion and evaluate the level of demographic bias in those polls, 2) Examine the...
The Pennsylvania State University received a $100,000 Project Grant award from the National Science Foundation Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The award will support research from June 2023 to May 2026 to address concerns about privacy risks from personal information sharing on social media, especially for low-income and underrepresented groups. The university will study how socioeconomic status...
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...