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TrustLab: An Interactive Tool for Evaluating Online Trustworthiness across Diverse Domains

Authors:
Teng-Chieh Huang
Wenting Song
Brian Kim
Suzanne Barber

Keywords: online trustworthiness; individual trust; social media; Trust Filter.

Abstract:
TrustLab is an innovative online tool for assessing social media users’ trustworthiness with ease and precision. It serves diverse users, from general social media participants to researchers aiming to gauge trust levels in various domains. Unlike many tools, TrustLab focuses on user trustworthiness rather than post content, distinguishing between experts and typical users. Using Trust Filters and user attributes, it assigns trust scores visualized through intuitive charts for clarity. Additionally, TrustLab provides personalized recommendations to help users enhance their online credibility. While its algorithms are domain-independent, this paper demonstrates TrustLab’s application in finance, politics, and health, showcasing its role in shaping public discourse, knowledge, and connections. With its user-friendly interface, TrustLab is a significant tool for exploring and understanding online trust in the digital era.

Pages: 51 to 58

Copyright: Copyright (c) IARIA, 2025

Publication date: March 9, 2025

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-68558-236-4

Location: Lisbon, Portugal

Dates: from March 9, 2025 to March 13, 2025