Myanmar Inauthentic Behavior Takedown
On October 21, Facebook published examples of inauthentic networks that it had taken down over the past several months for inauthentic behavior. The cases included 655 pages and 12 groups that were based in Myanmar. The pages formed a number of distinct clusters that appeared to be primarily designed to drive traffic to websites with a view to profit from advertising, both on Facebook and via the associated web domains. Each page typically shared content from just one web domain at a time.
Some of the domains shared identical content and were associated with just one Google Analytics and/or Google AdSense account, suggesting they were part of networks operated by the same entities. Some of the networks showed some degree of interconnection over time, while others appeared to be distinct.
The assets in the takedown had very high follower numbers. Dozens of the pages had over 1 million followers each, with the largest having over 5 million at the time of the takedown; scores more had followers in the hundreds of thousands. They produced large volumes of content and generated millions of interactions.
The pages appeared to operate for profit. The websites to which they linked often carried ads; some of the Facebook pages carried sponsored posts for commercial products. The majority of the content posted focused on celebrities and gossip; but in the years of their activity the pages also posted a small portion of content dealing with more political subjects or posted about the Myanmar army. A few posts in 2019-20 mentioned the Arakan Army or Rakhine state; a few from 2017 included elements of dangerous speech, notably against Muslims. In an illustration of the porous border between commercial spam and politically-oriented operations, blends of “lifestyle” clickbait with political content have been observed historically both in commercial spam operations, and in influence operations that were attributed to the Myanmar military in 2018 and 2019 (a more recent takedown of Myanmar military assets focused primarily on the Army itself).
Léa Ronzaud
Senior Analyst
Léa Ronzaud leads monitoring and investigations into the detection and tracking of Russian influence operations and violent extremist groups. She also researches nihilistic violent extremism and hacktivism. Léa’s work has helped disrupt efforts by extremists in multiple countries to orchestrate real-world harm and exposed the inner workings of nation-state influence operations from Russia, China, and Iran.
C. Shawn Eib
Analyst
Camille François
Chief Innovation Officer
Camille François works on cyber conflict and digital rights online. She was the Chief Innovation Officer at Graphika, where she led the company’s work to detect and mitigate disinformation, media manipulation and harassment.
Avneesh Chandra
Lead Engineer Data Analytics
Avneesh Chandra was a lead developer for data analytics and prototyping at Graphika.
Victoire Rio
Analyst
Myat Thu
Analyst
Download the complete PDF
The full report includes the complete network graph maps, raw attribution indicators, cross-platform topology analysis, and the full takedown timeline with platform-level data.
- Full network graph visualizations
- Attribution indicators with confidence scores
- Raw behavioral modeling data
- Takedown coordination timeline
Related Reports

The #Americans
Chinese State-Linked Influence Operation Spamouflage Masquerades as U.S. Voters to Push Divisive Online Narratives Ahead of 2024 Election
Read the Report
Holiday Hoaxes Unwrapped: Fake Trees, Freebies, & Shopping Sprees
Scammers Orchestrate Cross-Platform Social Media Campaigns to Steal Money and Personal Information During Holiday Shopping Season
Read the Report
Everything Everywhere All at Once - Part 2
The Pro-Iran Playbook for Narrative Control
Read the ReportSee How Graphika Can Help Your Team Act on This Intelligence
This report is one of 600+ investigations Graphika’s team has published. Our platform gives your analysts continuous access to the same intelligence — plus the tools to apply it to your specific threat environment.