My research centers on digital information, with a focus on online reviews. As a computational social scientist, I demonstrate in both experiments and scraped data sets of real reviews that online reviews are inherently flawed.
Long-term, I hope to work towards building an understanding of how platforms can provide the best suite of information to consumers, not just pointing out flaws with the status quo.
Experiments (online, in the field, and lab)
I am proficient with R (including base R, tidyverse, and data.table), and have experience with Python, which I primarily use for web-scraping.
User-Generated Star Ratings Are Not Inherently Comparable
Is a (Money) Problem Shared, a Problem Halved? Investigating the Impact of Communication on Financial Anxiety