Patrick Gerard
Scholar

Patrick Gerard

Google Scholar ID: M02NacMAAAAJ
University of Southern California
Natural Language ProcessingComputational Social ScienceNetwork Science
Citations & Impact
All-time
Citations
76
 
H-index
4
 
i10-index
2
 
Publications
7
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • October 2025: Interactive Dashboard! 🌐 Watch narratives flow across X, TikTok, Telegram, and Truth Social in real-time during the 2024 US election.
  • October 2025: New Paper! 📝 Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks.
  • July 2025: Meta CSS Talk 🎤 Discussed the challenges of modeling information diffusion in fragmented digital ecosystems and introduced a novel methodology that outperforms traditional approaches while requiring substantially less data.
  • June 2025: DETOX @ ICWSM 2025 🎉 Introduced a new modeling framework for identifying narrative enclaves and predicting cross-platform narrative spread, aimed at proactively detecting and disrupting harmful content flows across digital ecosystems.
  • June 2025: Stanford Security Group Talk 🎤 Discussed the challenges of modeling information diffusion in fragmented digital ecosystems and introduced a novel methodology that outperforms traditional approaches while requiring substantially less data.
  • May 2025: New Paper! 📝 Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems.
  • March 2025: ICWSM Paper Accepted 🎉 Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers.
  • January 2025: ICWSM Paper Accepted 🎉 Modeling Information Narrative Evolution on Telegram During the Russia-Ukraine War.
  • September 2024: Stanford ESRG Talk 🎤 Gave a talk on narrative evolution and othering frameworks for LLM-guided community analysis.
  • June 2024: Interview with CNBC 🎙️ Featured for my work analyzing Truth Social and the rise of fringe platforms.
  • March 2023: Dataset Paper Accepted at ICWSM 🎉 Truth Social Dataset.
  • March 2022: Paper Accepted at CIKM 🎉 Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.
Research Experience
  • Working at USC-ISI.
Education
  • PhD student under Kristina Lerman and Emilio Ferrara.
Background
  • PhD student, working on making things make sense.
Miscellany
  • Based in Los Angeles.
Co-authors
0 total
Co-authors: 0 (list not available)