Megan Squire

Computer Science PhD: data science, cybersecurity, online extremism

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 use my computer science skills to collect, store, and analyze massive amounts of data so we can understand how extremist and niche online communities work.

Latest Papers

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

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)

Media Coverage

I've discussed my work on right-wing extremist and toxic online communities with:

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.

I have appeared as a radio guest on several shows to discuss various cybersecurity issues, including BBC Radio's Up All Night, Radio New Zealand Nights, The Matt Townsend Show, The Vicki Davila Show (W Radio, Colombia), and The Academic Minute.

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.