Matt is an Informatics PhD candidate at Indiana University studying complex networks
and systems. Currently, he works in Dr.
Filippo Menczer's research group, Networks and agents Networks, and with the Observatory on Social Media. He is broadly
interested in computational social science
with a focus on
social media
dynamics, the spread of information
online, and curbing
the spread of misinformation
.
Rachith Aiyappa†, Matthew R. DeVerna
†,
Manita Pote†, Bao Tran Truong†, Wanying Zhao†,
David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny
Gandhi, Amrutha Manikonda, Francesco Pierri, Filippo Menczer, Kai-Cheng Yang
Francesco Pierri, Matthew R. DeVerna
, Kai-Cheng Yang, David
Axelrod, John Bryden, and Filippo Menczer
Matthew R. DeVerna
, Andy Guess, Adam Berinsky, Joshua Tucker, and John
Jost
Francesco Pierri, Brea L. Perry, Matthew R. DeVerna
, Kai-Cheng Yang,
Alessandro Flammini, Filippo Menczer, and John Bryden
Matthew R. DeVerna
, Francesco Pierri, Bao Tran Truong, John
Bollenbacher, David Axelrod, Niklas Loynes, Christopher Torres-Lugo, Kai-Cheng Yang,
Filippo Menczer, and John Bryden
Matthew R. DeVerna
, Rachith Aiyappa, Diogo Pacheco, John Bryden,
and Filippo Menczer
py_misinfo_exposure
to calculate a Twitter
user's misinformation-exposure score (based on Mosleh and Rand, 2021)
osometweet
on Twitter's official Twitch channel
(Jupyter notebook; this notebook may be outdated if the
package is updated).
osometweet
— a Python package designed for
academics to access Twitter's V2 API
The Top FIBers dashboard tracks and reports on the top superspreaders of low-credibility information on Twitter and Facebook each month.
VisitMulti-platform analysis of information about US 2022 midterm elections.
VisitVisualizing the relationship between COVID-19 vaccine adoption and online (mis)information.
VisitI would love to hear from anyone who is interested in: