This National Science Foundation award provides $260,201 to Wesleyan University under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for a project titled "Collaborative Research: EAGER: Cross-Platform Election Advertising Transparency Initiative" from October 1, 2022 to September 30, 2024. The university will build infrastructure to acquire, process, integrate, label, and distribute digital election advertising data from two large online platforms. This centralized...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $355,381, will fund the development of software systems to collect and analyze the content and impacts of digital targeted advertisements on real users. The project aims to advance algorithmic auditing methods that enable external parties to study the outputs and impacts of ad targeting systems, without access to their internal workings. The...
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 National Science Foundation (NSF) award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $399,998 to Arizona State University (ASU) to conduct a multi-method study examining how diverse young adults, ages 18-34, develop political identities and engage in the political process. The study will involve four waves of data collection, including online surveys, photovoice exercises, and interviews, to better understand the factors influencing political attitudes,...
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 National Science Foundation Project Grant of $3.7 million supports research and surveys related to the 2022 midterm elections through the agency's Social, Behavioral, and Economic Sciences program (CFDA 47.075). Cornell University is the primary awardee and will collaborate with The University of Iowa on data collection and analysis. Specifically, Cornell will develop an adaptive, data-driven approach to conducting a large-scale survey during the 2022 midterms using items from the...
This $899,815 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the 2024 Cooperative Election Study (CES). The CES is a collaborative research effort involving over 50 university teams across the United States that designs and fields a large, nationally representative survey of at least 50,000 American adults. The survey data collected will measure demographics, opinions, attitudes, and voting behavior in...
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...
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'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...