Megan Squire

Dr. Megan Squire is a professor of Computer Science at Elon University (North Carolina, USA). Her main research area is applying data science techniques to understand niche and extremist online communities, particularly radical right-wing groups on social media. Dr. Squire is the author of two books on data cleaning and data mining, and over 40 peer-reviewed articles and book chapters, including several Best Paper awards. In 2017, she was named the Elon University Distinguished Scholar. She currently serves as a Senior Fellow for data analytics at the Southern Poverty Law Center, and as a Senior Fellow and head of the Technical Research Unit at the Center for Analysis of the Radical Right.

Podcasts and Videos

Live-streaming and White Nationalism - A New Moneymaking Enterprise

From the Center for Analysis of the Radical Right

Podcast I talk with Right Rising about monetized propaganda. How are white nationalists using popular live-streaming to make money? (December, 2020)

"Baseless", Sounds Like Hate

From the Southern Poverty Law Center

Podcast I help analyze "The Base", an international terrorist group plotting for a race war. Parts 1&3. (October, 2020)

"The Evolution of All-American Terrorism", Reveal

From Reveal, The Center for Investigative Journalism, and PRX

Podcast I talk about how online organizing of White supremacists and other right-wing extremists has evolved (June, 2020)

Digital vs Analog Analysis of Nazi Podcasts

From "I Don't Speak German" podcast, Ep. 56

Podcast We discuss data mining and network analysis of neo-Nazi, neo-Confederate, fascist, and other far-right extremist podcasts. (June, 2020)

"Hate in the Homeland", Reveal

From Reveal, The Center for Investigative Journalism, and PRX

Podcast We discuss the rise of "Alt-Tech" social media platforms that enable online extremism (June, 2019)

Latest Papers

How are extremist groups organizing online? Who are the key players and what do they believe? Which groups are growing and which are shrinking? Why are some online communities more toxic than others?

I collect, store, and analyze data - mostly from social media, but other sources as well - so we can understand how extremist and niche online communities work.

Here are a few of my latest research papers and findings.

The Pushshift Telegram Dataset

Describes our dataset of 27.8K channels and 317M messages from 2.2M unique users, designed to study social movements, protests, political extremism, and disinformation. (Read More on Arxiv)

The Pushshift Reddit Dataset

Describes our dataset of Reddit's millions of subreddits, millions of users, and hundreds of millions of comments(Read More on Arxiv)

Understanding Gray Networks using Social Media Data

Is it possible to understand the structure of a clandestine network, for example Proud Boys, using just their social media trace data? (Read More)

Radical Right-Wing Women on Facebook

At what rates and in what capacity do women participate in extreme far-right ("radical right") political online communities? (Read More)

Anti-Muslim Hate Network on Facebook

How do anti-Muslim political groups use the Facebook social network to build their own online communities? Do they crossover with other far-right political ideologies, such as anti-immigrant or white nationalists? (Read More)

Analyzing the "Summer of Hate"

How "united" is the far-right? Which groups share members? Which ideologies tend to attract the same people? Which groups are responsible for uniting such distinct far-right ideologies at an event like the Charlottesville rally? (Read more)

Rudeness on Linux

How do the leaders of the Linux Kernel project write in email? What are the salient features of their writing, and can we discern one leader from another? (Read more)

Current Projects

Here are some long-term projects I'm working on that have not yet been published.

Broadcasting Hate: Understanding the Right-Wing Extremist Podcast Ecosystem

This project is a long-term study of several dozen extreme right-wing, racist podcasts. We build the network of guests and hosts, and show how the ecosystem grows and shifts over time. (Manuscript under review)

Funding Hate: Mapping the Network of Hate on Niche Payment Channels

This research re-creates the network of payments to extreme right-wing personalities using a popular video streaming service. (Preliminary research covered by SPLC.)

Network and Text Analysis of Christian Identity Hate Groups

For this work we mine decades of Christian Identity historical documents to create a social network of key players. We then compare that to the current CI landscape on the social media platform Telegram.

Entity Matching Social Media Users: A Machine-Learning Approach for Steam

In this project, we use a machine learning approach to predict the correct user identification for a prior user playing under a false identity.

Popular Press Writing

My "popular press" computer science writing has been published for media and think tanks:

Why is Telegram so appealing to terror groups?

What are the key technical features that make the Telegram app so appealing to hate and terror groups? (Read more at Center for Analysis of the Radical Right)

Alt-Tech & the radical right: part 2

Inside the radical right's video addiction: Moving from Youtube to DLive & Entropy (Read more at Center for Analysis of the Radical Right)

Alt-Tech & the radical right: part 1

Why are radical right groups shifting to "alternative" tech? (Read more at Center for Analysis of the Radical Right)

How Big Tech and Policymakers Miss the Mark When Fighting Online Extremism

Why is it still so easy to find violent white supremacist content online, even though social media companies keep claiming that they are working overtime to delete it? (Read more at Brookings Institution)

Why the next terror manifesto will be even harder to track

It's difficult to track the spread of digital materials, and new technologies will make it even harder (Read more at Salon)

End-to-End encryption isn't enough security for "real people"

Everyday folks should work on improving security where we are most vulnerable—on our own devices (Read More at Scientific American)

Why we choose terrible passwords, and how to fix them

Humans are terrible at memorizing long, unpredictable sequences - how can we make the chore of choosing a password more palatable? (Read More at CBS News)

Why we should not know our own passwords

Can we create passwords even their owners don't know? (Read more at Time)

Media Coverage

I've discussed my work on right-wing extremists and toxic online communities with numerous media outlets, including:

2017

Newsweek. November 19. (It's Ok To Be White: How Fox News Is Helping To Spread Neo-nazi Propaganda.)
The Academic Minute. Audio Series. July 27. (Password Security.)
Radio New Zealand. Radio interview, pre-recorded. May 22. (Why we choose terrible passwords.)
The W with Vicky Dávila. W Radio (Columbia). Radio interview, live (in translation). May 9. (Password Security.)
The Matt Townsend Show. BYU Radio (Sirius XM). Radio Interview, live. April 5. (Password Security.)

2016

The Guardian. December 17. The Day I Went Hunting for the Ku Klux Klan.

2014

Hearsay Culture Radio Show #224. Radio interview, pre-recorded. KZSU Stanford University 90.1 FM. November 13. (Data Mining.)

Other Writing and Appearances

I also blog as a Senior Fellow for the Center for Analysis of the Radical Right (CARR) where my work has been reposted in Rantt and Sage Ocean.

In addition to many research papers and articles for popular media, I have also written two books, Clean Data, and Mastering Data Mining with Python.