This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) in the amount of $400,001 provides funding for research aimed at understanding and addressing problematic online behaviors, such as cyberbullying, that can negatively impact users' mental health and well-being on social media platforms. The key components of the research include: Developing predictive models for early detection of problematic online behaviors, with a...
This Project Grant award, valued at $200,000.00, was provided by the National Science Foundation (NSF) under the Federal Grant Program for Social, Behavioral, and Economic Sciences (CFDA 47.075). The project, conducted by New York University (NYU), is examining the causal impact of social media usage on individual well-being and out-group animosity across multiple countries through a global field experiment. The research team is incentivizing a large sample of people to temporarily reduce...
This federal Project Grant award, valued at $606,480.00 and provided by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research examining the impact of social media use on the mental health and academic achievements of adolescents. The research team at the National Bureau of Economic Research (NBER) will conduct an experimental study, randomly assigning adolescents to a treatment group that receives incentives to reduce social...
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 Project Grant award, valued at $204,582.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a collaborative research project led by The Pennsylvania State University (Penn State) that aims to leverage artificial intelligence (AI) technologies to cultivate constructive "upstander" behaviors among teenagers on social media to combat cyberbullying. The project will...
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...
The National Science Foundation (NSF) awarded a $832,449 Project Grant under the Computer and Information Science and Engineering (CISE) program to Cornell University. The grant, with a performance period of October 1, 2023 to September 30, 2027, will fund collaborative research to leverage conversational AI to cultivate constructive "upstander" behaviors among teens on social media to combat cyberbullying. The project aims to develop AI technologies, including ChatGPT-3 and AI...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop new computational models and methods to help online communities support behaviors aligned with their norms and goals. The $444,823 award, with a performance period from June 2025 to May 2030, will fund research conducted by the University of Illinois to advance the understanding of how online communities can use positive...
This $389,385 Project Grant award, issued on June 15, 2025 by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop methods and tools to help real-time social media community leaders better facilitate audience engagement and adherence to community norms. The research will involve modeling audience behaviors and creating guidance and intervention mechanisms to encourage participant conduct that aligns with community...
This $404,941 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research by Northeastern University to develop methods for integrating societal values into social media algorithms. The key products or services to be delivered include: Introducing a novel approach to leverage social science constructs and measurements to build algorithmic objective functions, referred to as...