TrustFinder: Recommendations for Community-Based Trust Systems

Catalog Row74

Citation KeyFriedman2022TrustFinderRecommendationsCommunityBased074

Paper FolderAvailable

Platform availability

✅ Zenodo
⬜ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

TrustFinder provides recommendations for a community-based system for finding trusted sources and evaluating claims. Built on feedback from dozens of experts across fields submitted to the University of Washington Applied Physics Lab's Verified Information Exchange Environments Program, this document presents a sociotechnical system for collaborative evaluation of information trustworthiness.

TrustFindertrust systemsinformation evaluationcognitive securityverified informationcollaborative assessmentsociotechnical systems

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

There is a broadly recognized need for better situational awareness within the information environment..
Each year, millions of articles, books, documents, and datasets are published..
Amidst this flood of information, even those with significant experience and expertise in the knowledge economy are struggling to evaluate and vet claims..

Methods / Techniques

Narrative analysis
Trust and integrity modeling

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2022. TrustFinder: Recommendations for Community-Based Trust Systems. Zenodo. DOI: 10.5281/zenodo.7093836. URL: https://doi.org/10.5281/zenodo.7093836.

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