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Media Neuroscience Lab
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Description: The Lab encourages collaboration among communication scholars, media professionals, and neuroscientists to build a richer understanding of shared research questions and methods. In keeping with this multidisciplinary orientation, the lab community fosters unconventional ideas and critical thinking within a collegial environment. As a service to scholarly and public communities, the lab provides consulting, produces research tools and best practices, and organizes events.
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Components
Mapping Attention Across Multiple Media Tasks
Paying attention to media requires continuously selecting and processing relevant information while filtering out numerous competing stimuli. Although...
Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use
When referencing this project, please cite its corresponding publication:
Huskey, R., Wilcox, S., & Weber, R. (2018). Network Neuroscience Reveal...
Network Dynamics of Attention During a Naturalistic Behavioral Paradigm
This project investigates the dynamics of attention during continuous, naturalistic interactions in a video game. Specifically, the effect of repeated...
Media Violence and Interactivity
The effect of exposure to violent video game content on aggression is intensely debated. Meta-analyses have produced widely varying estimates as to th...
Prevention Neuroscience and Individual Differences
The field of prevention neuroscience is organized around understanding the neural mechanisms that underpin health attitude and behavior change. Numero...
A Graph-Learning Approach for Detecting Moral Conflicts in Movie Scripts
Moral conflict is central to appealing narratives, but no methodology exists for computationally extracting moral conflict from narratives at scale. I...
GDELT Interface for Communication Research (iCoRe)
This project introduces the interface for Communication Research (iCoRe) to access, explore, and analyze the Global Database of Events, Language and T...
The Extended Moral Foundations Dictionary (eMFD): Development and Applications of a Crowd-Sourced Approach to Extracting Moral Intuitions from Text
Moral intuitions are a central motivator in human behavior. Recent work highlights the importance of moral intuitions for understanding a wide range o...
Dynamic Transactions Between News Frames and Sociopolitical Events: An Integrative, Hidden Markov Model Approach
A central goal of news research is to understand the interplay between news coverage and sociopolitical events. Although a great deal of work has eluc...
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