Tag: misinformation
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Origin Lens: Verify Image Authenticity with C2PA Content Credentials
Every day, millions of images circulate online stripped of their history. A photo of a protest, a portrait of a political figure, a news image from a war zone — you see it, but you have no idea where it came from, whether it was edited, or whether it was generated by AI at all.…
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CRED-1: An Open Multi-Signal Domain Credibility Dataset for Misinformation Pre-Bunking
I’m excited to share CRED-1, an open, reproducible domain-level credibility dataset that I’ve been working on as part of my doctoral research at Frankfurt University of Applied Sciences. The preprint is now available on SSRN, and the full dataset and pipeline are openly accessible on GitHub and Zenodo. What is CRED-1? CRED-1 provides credibility scores…
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Introducing CRED-1: An Open Domain Credibility Dataset for Fighting Online Misinformation
How do you know whether a news source is trustworthy? That question is at the heart of my latest research project. Today, I am releasing CRED-1, an open multi-signal domain credibility dataset that assigns credibility scores to 2,672 domains known for publishing misinformation, conspiracy theories, or other unreliable content. Why Another Dataset? Existing source lists…
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Industrialized Deception: How LLMs Are Reshaping the Disinformation Landscape
Our paper “Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems” has been accepted at ACM TheWebConf ’26 (WWW ’26) in Dubai. It examines how large language models are reshaping the disinformation landscape and what we can do about it. The Problem: Deception at Industrial Scale Generative AI has fundamentally changed how misinformation…
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#datamustread 2022 Essentials: How to Level Up In Your Data Journey
For some time now, I have been using the hashtag #datamustread on LinkedIn and Twitter to regularly recommend books that are essential for a data journey. At the end of this year, I would like to put together some absolute highlights that I consider to be absolute #datamustread books: 📖 True or False by Cindy…
