Megan Squire

Dr. Megan Squire is a computer scientist in North Carolina who uses data science techniques to understand niche and extremist online communities. She 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 for her work tracking extremist online fundraising and cryptocurrency. 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 Belfer Fellow for the ADL.

Podcasts and Videos

Monetizing Propaganda (June 2021)

🏆 Best paper award, ACM Web Science conference. How do right-wing extremists use video streaming to make money? This is a deep dive into the network of streamers and donors using the DLive service. (Conference, PDF)

American Insurrection (April 2021)

PBS Frontline and ProPublica examine how far-right groups were emboldened and encouraged by former President Trump and how individuals were radicalized and brought into the political landscape (13:50 mark)

BBC Click investigates extremism in online gaming. (September, 2021)

TedX talk outlines some basic data science techniques for studying extremism online. (Feb, 2020)

Baseless

"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, and 4. (October, 2020; May 2021)

Hate in the Homeland

"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.

telegram

Monetizing Propaganda (2021)

🏆 Best paper award. How do right-wing extremists use video streaming to make money? This is a deep dive into the network of streamers and donors using the DLive service. (Conference, PDF)

telegram

The Pushshift Telegram Dataset (2020)

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)

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The Pushshift Reddit Dataset (2020)

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

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Understanding Gray Networks using Social Media Data (2019)

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

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Radical Right-Wing Women on Facebook (2019)

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

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Anti-Muslim Hate Network on Facebook (2018)

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)

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Analyzing the "Summer of Hate" (2018)

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)

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Rudeness on Linux (2017)

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.

deplatforming

What happens after deplatforming?

My work as a Belfer Fellow for ADL will uncover what happens after bad actors are removed from social media or other online environments.

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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.

Media Coverage

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

2022

2021

2020

2019

2018

2017

2016

2014

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

Other Writing and Appearances

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.