TrustFinder: Recommendations for Community-Based Trust Systems

Catalog Row74

Citation KeyFriedman2022TrustFinderRecommendationsCommunityBased074

Paper FolderAvailable

Overview

Extracted from the local paper documentation when available.

TrustFinder is a sociotechnical system designed to enhance situational awareness in the information environment by enabling users to collaboratively manage the information supply chain. It aims to help users find trusted sources and evaluate claims through structured tools and community engagement.

TrustFindertrust systemsinformation evaluationcognitive securityverified informationcollaborative assessmentsociotechnical systems

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Development of a collaborative platform for managing information sources and claims.
Implementation of trust scores to evaluate the quality of authors and content.
Introduction of web and document annotation tools to enrich content and facilitate sensemaking.
Establishment of a framework for mapping the information supply chain.

Methods / Techniques

Utilization of user-created Workspaces for collaborative projects.
Incorporation of various informational structures such as Claims, Claim Instances, and Questions.
Application of argument representation frameworks to connect Claims and enhance navigation.
Use of crowdsourcing design principles to leverage global research community contributions.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2022. TrustFinder: Recommendations for Community-Based Trust Systems. Zenodo.

Primary source Documentation BibTeX