I am a researcher in the Media Neuroscience Lab and a Ph.D. Candidate in the Department of Communication at the University of California, Santa Barbara. I am also a member of the National Science Foundation IGERT for Network Science and Big Data.
I conduct research in two main areas:
First, I investigate the role of attention in multimedia processing and media multitasking. My current work in this area uses functional neuroimaging and behavioral measures to explore how cognitive and perceptual load in digital environments can modulate attention networks in the brain, and how these modulatory effects can be harnessed to develop novel treatments for cognitive processing disorders such as ADHD. This project has resulted in a recently published systematic review and theoretical update of the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) as well as an in-press publication investigating the modality-specific nature of perceptual load during media processing (preprint available here).
I also study theoretical and methodological issues surrounding the extraction and analysis of moral content in news, movies, and other media texts. This project involves the use and development of computational social science tools including natural language processing, machine learning, and nonrelational database management. Current work in this area is aimed at building an updated dictionary for the processing of moral information in large textual corpora, exploring novel measures of framing based on network analytic approaches, and building and maintaining a large open-source database for the analysis of news data from around the world. We recently introduced iCoRe, a tool for Communication researchers to interface with the Global Database of Events, Language, and Tone (GDELT). A write-up of this tool, along with a few case studies, was recently published in the inaugural issue of Computational Communication Research (preprint available here).