Tag: Disinformation
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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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Three Open Datasets on AI-Driven Disinformation: From LLM-Generated News to Expert Threat Assessments
How well can people actually detect AI-generated news? What strategies do large language models use to mimic journalistic writing? And what do domain experts think about the evolving threat landscape of generative AI disinformation? These are the questions driving a multi-year, mixed-methods research program on AI-driven disinformation. Today, I’m making three core datasets from this…
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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…
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10 Lessons the Post-Pandemic Era has taught us
The COVID-19 pandemic has had a significant impact on societies and economies around the world. Ten lessons the post-pandemic era (PPE) has taught us: Most office work can be done from anywhere. Face-to-face meetings can be avoided in 90% of cases. Most meetings can be reduced to 30 minutes. Breaks between meetings are important to…
