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GESIS Surf: Open-Source Infrastructure for Privacy-Preserving Web Browsing Data Collection

Original title: GESIS Surf: An Open-Source Infrastructure for Privacy-Preserving Longitudinal Web Browsing Data Collection

arXiv cs.CRby Mario Alberto Ramirez ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

GESIS Surf browser extension and backend enable large-scale, opt-in web behavioral data collection with built-in privacy controls.

GESIS Surf is a research infrastructure for large-scale longitudinal collection of web behavioral data in naturalistic environments. It consists of a browser extension for Chrome and Firefox, a REST API backend, and a relational database. The system passively captures user interactions, page metadata, and full HTML snapshots within a hierarchical session model while enforcing privacy through strict opt-in participation, per-domain collection rules, and client-side data minimization.

Key facts
  • Browser extension for Chrome and Firefox
  • Passive capture of interactions, metadata, and full page HTML
  • Strict opt-in, per-domain rules, and client-side minimization
  • Deployed with over 1,000 participants in academic panels
  • Hierarchical session modeling for reproducible digital behavior analysis
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From the original article

1 min read at arxiv.org

Understanding how people navigate digital media environments requires behavioral data beyond survey self-reports.

arXiv cs.CR

By Mario Alberto Ramirez · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.