Projects
Working Together (to Undermine Democratic Institutions): Challenging the Social Bot Paradigm in SSIO Research
In this project, we analyze 34 of the State-Sponsored Information Operations (SSIOs)
published on Twitter's Information Operations Archive.
In particular, we investigate whether SSIOs fit the assumptions of the Social Bot framework,
the most popular way of modeling such activity in the existing literature. We find that the
vast majority of SSIOs violate both the core theoretical assumption of the Social Bot framework,
as well as the main way that it is operaitonalized in practical work. Instead, we find that SSIOs
exhibit a substantial division of labor, with clusters of agents being responsible
for various aspects of production and distribution of content, as well as general engagement
with authentic Twitter users.
Misleading Beyond Visual Tricks: How People Actually Lie with Charts
In this project, we study the means by which people mislead others in data visualizations shared
online. Specifically, we analyze a sample of over one and half years of posts sharing visualizations
during the COVID-19 Pandemic on Twitter. Our work shows that, contrary to conventional wisdom,
violations of visualization design guidelines are not the dominant way people mislead with charts.
Specifically, they do not disproportionately lead to reasoning errors in posters' arguments. Through
a series of examples, we present common reasoning errors and discuss how even faithfully-plotted data
visualizations can be used to support misinformation online.
About Me
Thanks for stopping by! I am a fourth year PhD student. Broadly speaking, my research
interests involve the study of misinformation campaigns on social media platforms like Twitter.
In particular, I am interested in understanding the techniques that these campagins use to create
content, spread it across the network, and ultimately get "authenthic users" to take up this work.
In particular, I am interested in studying this activity through the lens of coordinated work and
social role theory.
I received my undergraduate degree in Computer Science and Mathematics from Westminster
College in SLC, Utah. I also attended a research experience for undergraduates (REU) at Worcester
Polytechnic Institute in Worcester, Massachusetts. It was during this experience at WPI
that I discovered my love for data science and my interest in the intersection between technology and
society.
A copy of my curriculum vitae is available here
Want to talk?
Excellent! You should be able to contact me any of the following places:
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