Francesco Salvi
Scholar

Francesco Salvi

Google Scholar ID: 70M6sE8AAAAJ
Princeton University
Computational Social ScienceNatural Language ProcessingSocial ComputingPersuasion
Citations & Impact
All-time
Citations
631
 
H-index
5
 
i10-index
3
 
Publications
6
 
Co-authors
13
list available
Resume (English only)
Background
  • First-year PhD student in Computer Science at Princeton University, advised by Manoel Horta Ribeiro
  • Affiliated with Princeton’s Center for Information Technology Policy (CITP)
  • Supported by the Gordon Wu Fellowship
  • Research broadly focuses on connecting computational methods and machine learning with society, analyzing the societal impacts of AI and drawing insights on human behavior
  • Particularly interested in the persuasive capabilities of frontier models and political phenomena such as online polarization and misinformation
  • Keywords: Computational Social Science, Social Computing, Natural Language Processing, Persuasion