BarnowlBehavioral Analysis of Related Networks on Open Web Links
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What is this project?
Barn Owl investigates if disinformation sites can be correctly identified from a group of misinformation and neutral sites through a combination of SEO signals. We investigate the following by combining SEO marketing tools and Python:
A.) Useful disinformation data can be pulled independently with marketing techniques – no need for potential filtering by third parties
B.) Small and Mid-sized disinformation sites can structurally be detected separately from misinformation sites.
- If so, what combination of structures work?
- What is their accuracy?
C.) Small and Mid-sized disinformation sites can be detected on the backside without need of content analysis
D.) Small and Mid-sized disinformation sites have a unique set of SEO signal identifiers and tendencies
E.) If there is a unique structure, is it applicable across multiple languages?
Task Team Leader: Liz Wong
History of this Project
B.A.R.N.O.W.L. officially launched Spring 2022 and has continued into Summer 2022 and the 22-23 AY at the Applied Research Laboratories, UT Austin, or ARL:UT. We have presented our work to Former CIA Director John Brennan and work in joint partnership under GDIL, Sandia National Laboratories, and ARL:UT.
Goals for 2022-2023
- Grow existing data’s neutral, misinformation, and disinformation list
- Use Pandas to explore small sample set
- Write findings
- Apply research to larger dataset —> Possibly partner with ARL:UT for Machine Learning (ML)
- Write up of small exploratory findings
- Pandas code available to GitHub for exploratory analysis
- Present to Sandia for renewal
- Completed dataset with seed sites and backlinks data
- Expand larger dataset to include foreign language sample and compare findings
What students will learn
- Search Engine Optimization (SEO)
- Network Analysis
- Python (Pandas)
- Freedom of Speech Policy
- Data Visualization
- Research development and process
- Scientific Writing
Best Friends Forever – How Humans and AI Can Support Each Other in Interpreting North Korean Media Signals
Published May 2, 2023
Behind the Veil: The Marketing of Iranian State Media to Foreign Audiences
Published November 8, 2022
Get in Touch
Want to work with us? Have an idea for a project? Curious about some aspect of the lab? Please reach out. We promise we’re friendly!