Ruth E. Appel
Scholar

Ruth E. Appel

Google Scholar ID: 3flEE1wAAAAJ
Anthropic
generative AIeconomicssocial mediacontent moderationtrust and safety
Citations & Impact
All-time
Citations
192
 
H-index
5
 
i10-index
2
 
Publications
10
 
Co-authors
16
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Publications in top venues including Science Advances and ICML.
  • Recipient of the Nathan McCoby Outstanding Dissertation Award.
  • Awarded multiple fellowships and impact grants.
  • Work featured in WIRED and other major news outlets.
  • Co-authored the report of the Joint California Policy Working Group on AI Frontier Models.
  • Provided inputs to EU policy drafts and published popular press articles explaining key findings.
Research Experience
  • Co-leading a project at Stanford’s Center for Research on Foundation Models (CRFM) providing guidance for third-party AI evaluation.
  • Led a research project as part of the Facebook and Instagram Election Study (academic-industry collaboration with Meta), analyzing deceptive online networks using log and survey data from millions of U.S. Facebook users.
  • Co-developed an effective and scalable online game that increases resilience to vaccine misinformation.
  • Working on large-scale evaluation of lab-tested misinformation interventions on Facebook.
  • Core contributor to a large panel study introducing the 'empathy perception gap' concept and designing smartphone-based and educational interventions to improve social connection.
  • Former Quantitative UX Research Intern at Google, Research Associate at Duke University, and Intern at the EU Delegation to the UN in New York.
Background
  • An award-winning researcher combining deep technical expertise in AI and empirical social science to shape safe and responsible technology development and policy.
  • Currently a Stanford Impact Labs Postdoctoral Fellow at Stanford University.
  • Research focuses on the societal impact of AI and social media and on developing evidence-based approaches to technology governance.
  • Integrates insights from computer science, political science, psychology, and economics, using computational and experimental methods to analyze large-scale datasets.
  • Particularly passionate about addressing governance and ethics challenges, preventing misinformation and election interference, and promoting wellbeing.