Hans W. A. Hanley
Scholar

Hans W. A. Hanley

Google Scholar ID: ewdWfOoAAAAJ
Stanford University
MisinformationComputational Social ScienceNatural Language ProcessingComputer Security
Citations & Impact
All-time
Citations
353
 
H-index
9
 
i10-index
9
 
Publications
17
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • 1. Paper 'Sub-Standards and Mal-Practices: Misinformation’s Role in Insular, Polarized, and Toxic Interactions on Reddit' received Best Paper Honorable Mention at CSCW 2025.
  • 2. Paper 'Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings' accepted to the Main Conference at ACL 2025.
  • 3. Paper 'Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites' accepted to USENIX Security 2025.
  • 4. Paper 'Twits, Toxic Tweets, and Tribal Tendencies: Trends in Politically Polarized Posts on Twitter' accepted to CSCW 2025.
  • 5. Paper 'Across the Firewall: Foreign Media’s Role in Shaping Chinese Social Media Narratives on the Russo-Ukrainian War' accepted as Brief Report to PNAS.
  • 6. Defended thesis 'Narrative Networks: Investigating Patterns of Influence and Propaganda across International News Outlets'.
  • 7. Awarded Meta PhD Research Fellowship in Computational Social Science.
  • 8. Rising Star in Data Science 2024, University of Chicago, Stanford University, UCSD.
Research Experience
  • 1. Research Scientist at Meta.
  • 2. Formerly a Ph.D. candidate at Stanford University, researching in the Empirical Security Research Group.
  • 3. Conducted disinformation reporting with the Atlantic Council’s Digital Forensic Research Lab.
Education
  • 1. Stanford University, Ph.D. in Computer Science, advisor unknown, time unknown, major: Computer Science.
  • 2. University of Oxford, Master's degrees in Computer Science and Statistics, supported by the Daniel M. Sachs Scholarship.
  • 3. Princeton University, Bachelor's degree in Electrical Engineering.
Background
  • Research interests: disinformation, networks, and natural language processing. Professional field: Computer Science.
Miscellany
  • Personal interests include stand-up comedy, listening to UK rhythm and blues music, long-distance running, and learning Mandarin Chinese (HSK5). Runs a blog 'The Margin of Error' where he discusses his research, computational looks at different economic and political issues, and a variety of other topics.