Dan Muise

Ph.D. Candidate
Dept. of Communication
Stanford Data Science
Stanford University


I do computational social science at Stanford. I research how media technology impacts behavior & political opinions in the U.S. and abroad. I run field experiments and analyze large scale panel data. I'm responsive to emails, interested in collaborating, and always happy to talk.

My current work utilizes the Screenomics approach: analyzing hyper-rich behavioral data collected from the smartphone. See a recent New York Times article about my lab's work. Currently, I am running a national online field experiment in the US measuring the impact of social media on political hostility. Separately, with collaborators at Microsoft Research, I am using panel data from the Nielsen company to measure echo chambers in TV news consumption.

Publications, Presentations, Software


Reeves [… Muise…] et al. (2019). Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them. Human Computer Interaction. 1-52. New York Times report

Muise, Daniel and Pan, Jennifer. 2018. "Online Field Experiments." Asian Journal of Communication 1-18. (DOI)

Kingsley, David and Daniel Muise. 2017. "More Talk, Less Need for Monitoring."The Journal of Experimental Political Science 1-19. (DOI)

Muise, Daniel and Kobbi Nissim. 2016. "Differential Privacy in Descriptive Statistics: a Guidebook for Social Scientists." Privacy Tools for Sharing Research Data Project. (online access)


Muise, D., Howland, B., Rothschild, D., Mobius, M., Watts, D. (2020). Echo Chambers in the Television News Audience: Evidence from Three Years of Nielsen Panel Data. International Communication Association , Gold Coast, Australia.

Muise, D., Hosseinmardi, H., Howland, B., Rothschild, D., Mobius, M., Watts, D. (2020). Growing Separation in the Television News Audience Computation + Journalism , Boston, MA.

Cho, M., Muise, D. (2019). A Study of Factual Information Consumption on Smartphones: Demographics, Time of Use, and Online Media Platforms. Chinese Communication Society , Taipei, Taiwan.

Lu, Y., Muise D., Pan, J., Reeves, B. (2018). Micro-Level Natural Interaction with Information Systems: An International Screenshot Ethnography. International Communication Association's 68th Annual Conference , Prague, Czech Republic.

Muise, D., Reeves, B., and Pan, J. (2017). ``What is News?" Realigning the News Definition with Millions of Consumer Screenshots." Computation + Journalism Symposium. Northwestern University. (online access)

Muise, Daniel. 2016. "Information Communication Technology in Myanmar under the Theory of Innovative Enterprise" Student Southeast Asian Studies Conference. Northern Illinois University.. 2016.

Muise, Daniel, Kobbi Nissim, Mark Bun, Victor Balcer. 2015. "Differentially Private Cumulative Distribution Function Evaluation and Development." NSF Site Visit to the "Privacy Tools for Sharing Research Data" Project. John A. Paulson School of Engineering and Applied Science, Harvard University.. 2015.


Muise, Daniel, Kobbi Nissim, Georgios Kellaris. 2016. CDF.PSIdekick: Public R Package for Evaluating, Visualizing and Comparing Algorithms for Creating Differentially Private Cumulative Distribution Functions and Probability Densities. Available on CRAN archive. . 2015. (CRAN)

Current Projects

I'm a member of the Screenomics Lab at Stanford, where we use millions of passively-collected screenshots to analyze content consumption and media behavior. I have three ongoing projects within this lab:

I'm also a member of Project Ratio, where we use large-scale communication data to measure the political influence of TV and Internet political media. We're currently mapping out the US news audeince in its entirety.

I also travel:

Voiceover Narration example


muise.dan at gmail.com
dmuise at stanford.edu

Dan on Instagram
Dan on Linkedin
Profile at UMass Lowell (2016)
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