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...
This $328,068 National Science Foundation project grant supports research on understanding information spread via social media. Funded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), the Research Foundation of the City University of New York will conduct collaborative research with The City University of New York. Over three years, the researchers will develop new approaches combining computational social sciences, computer science, sociology, and statistics to...
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 $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...
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...
This Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences, with the CFDA number 47.049, provides $200,000 in funding to Michigan State University (MSU) to establish a theoretical framework for characterizing information propagation within social systems. The research aims to develop novel models and strategies for analyzing large spatiotemporal datasets related to the diffusion of information, such as news, diseases, and security threats. The project...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $200,000 to Duke University is supporting a cross-national study to explore how social media algorithms could be redesigned to promote mutual understanding, increase trust, and reduce polarization. The project employs generative AI, agent-based models, and online experiments to prototype alternative newsfeed algorithms and analyze their impact on social norms, trust, and...
The National Science Foundation (NSF) awarded a $595,398 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to the University of Delaware. This 3-year grant, running from October 1, 2024 to September 30, 2027, will support the development of novel methods to understand social influence diffusion through social media. The project aims to establish "query-decision regression" as a principled decision-making framework for managing social...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $350,000 to develop a simulation infrastructure to model the dynamic flow of information through human social networks. The project aims to create an agent-based modeling tool that can predict how content spreads and is consumed within information ecosystems, incorporating factors such as network structures and agent characteristics. The simulation...
This three-year $549,926 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research examining the prevalence and spread of emotional content on social media and its association with user well-being, susceptibility to misinformation, and political polarization in the United States and Japan. The awardee, Stanford University, will conduct three studies using computational analysis of social media posts as well as survey...