Project Grant SBC40024GR0033

This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to Trustees of Boston University totaling $225,669 supports the development of a production-ready, open-source software suite to enable rapid collection, management, and analysis of social media data for identifying and mitigating information manipulation (misinformation and disinformation) on social media. The key products and services to be delivered through this 4-year...

This $505,017 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems (CFDA 47.070) aims to develop an open-source software suite to enable the rapid collection, management, and analysis of social media data. The goal is to help identify and mitigate information manipulation, such as misinformation and disinformation, on social media platforms. Key components of the project include: Developing a full-featured crawler construction toolkit to support...

The National Science Foundation awarded a $217,000 project grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of North Carolina at Charlotte. The grant supports a collaborative research project to enhance information integrity and combat misinformation in the digital age. The key products and services to be delivered include: Analyzing and identifying social norm emergence and tipping points in public dialogue on controversial issues. Uncovering...

This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program totaling $336,644 will support research into the dynamics and mechanisms of information spread via social media. The grant to Rensselaer Polytechnic Institute from August 2022 to July 2025 aims to develop new approaches for analyzing how information flows on social media platforms and to understand the factors that influence its adoption. Researchers will analyze large datasets to...

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 $750,000 National Science Foundation project grant under the Integrative Activities program aims to develop a disinformation training range to improve user awareness and resilience. Awarded October 1, 2021 for a one-year period, the grant supports The Research Foundation For The State University Of New York to lead the effort in partnership with the University of Illinois, Northeastern University, Clemson University, and Lehigh University. The partners will create an online platform...

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...

The University of Southern California was awarded a $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel machine learning framework for combating misinformation. Over a three-year period ending in October 2025, the University will pursue three research thrusts to advance understanding of misinformation propagation patterns, detect coordinated behaviors among bad actors, and identify causal...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant (CFDA 47.070) provides $487,970 to Florida International University (FIU) to study and develop solutions to detect and mitigate the impact of influence campaigns and the spread of misinformation and hate speech on social media platforms. The project aims to gain a better scientific understanding of how influence operations leverage social networks, the motivations and strategies of users who...

This Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program ($327,276) will support research from August 2022 to July 2025 on understanding information spread via social media. The University of California, Los Angeles will analyze how information propagates on platforms and shapes opinion trends. Researchers will develop new computational models and algorithms to spot emerging topics, predict polarization, and identify factors influencing...