VeriDash: An AI-Driven, User-Centric Open Source Dashboard for Enhancing Multimedia Verification

This paper presents VeriDash, an open source dashboard that integrates AI-based technologies to streamline the multimedia verification process for fact-checkers. VeriDash offers advanced features such as automated transcription, geolocation, and an intuitive interface that streamlines the fact-checking process while ensuring ease of use. By incorporating a human-in-the-loop approach, VeriDash balances technological efficiency with human expertise, promoting trusted and responsible AI technology to support and enhance the fact-checking process.

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Publication Details

Journal
Norsk IKT-konferanse for forskning og utdanning
Published
2025-09-25
DOI
https://doi.org/10.5324/nikt.6254
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00

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article

VeriDash: An AI-Driven, User-Centric Open Source Dashboard for Enhancing Multimedia Verification

Duc‐Tien Dang‐Nguyen, Laurence Dierickx, Johannes Skivdal
Norsk IKT-konferanse for forskning og utdanning
Generative Adversarial Networks and Image Synthesis
article

VeriDash: An AI-Driven, User-Centric Open Source Dashboard for Enhancing Multimedia Verification

Duc‐Tien Dang‐Nguyen, Laurence Dierickx, Johannes Skivdal
article en

Abstract

This paper presents VeriDash, an open source dashboard that integrates AI-based technologies to streamline the multimedia verification process for fact-checkers. VeriDash offers advanced features such as automated transcription, geolocation, and an intuitive interface that streamlines the fact-checking process while ensuring ease of use. By incorporating a human-in-the-loop approach, VeriDash balances technological efficiency with human expertise, promoting trusted and responsible AI technology to support and enhance the fact-checking process.

Norsk IKT-konferanse for forskning og utdanning(2)
University of Bergen (NO)
European Commission
Openalex Percentile: Top 74%
Generative Adversarial Networks and Image Synthesis
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