Tag: Disinformation
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Experts Disagree on How to Fight AI Disinformation: Our Paper in the HKS Misinformation Review
Our research note “Experts Disagree on How to Fight AI Disinformation, but Agree That Health and Politics Need Different Solutions” is out today in the Harvard Kennedy School Misinformation Review. Martin Kappes, Marc-Oliver Pahl, and I report an expert survey on AI-generated disinformation. The survey Between July 2025 and March 2026, 54 experts answered our…
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Eroding the Truth-Default: Who Spots AI-Generated News?
Our paper “Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild” is now published in the Companion Proceedings of the ACM Web Conference 2026 (WWW ’26). Martin Kappes, Marc-Oliver Pahl, and I analyze the responses collected with JudgeGPT, our open survey platform. The setup JudgeGPT shows…
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The Verification Crisis: What 21 Experts Say About GenAI Disinformation
Our paper “The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance” is now published in the Companion Proceedings of the ACM Web Conference 2026 (WWW ’26). Martin Kappes, Marc-Oliver Pahl, and I wrote it for R2CASS, a workshop on reproducible and reusable computational approaches. The survey The paper reports the…
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The Indistinguishability Threshold: My PhD Symposium Paper at WebSci ’26
My paper for the PhD Symposium of the ACM Web Science Conference 2026 (WebSci ’26) is now published: “The Indistinguishability Threshold: Measuring Cognitive Vulnerabilities to AI-Generated Disinformation”. It is a four-page overview of my doctoral project at Frankfurt University of Applied Sciences. The idea The paper borrows a concept from cryptography. There, two distributions are…
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Can Humans Tell? Our WebSci ’26 Poster on Human Perception of AI-Written News
Can people tell whether a news text was written by a person or a language model? In our data, they cannot. Our poster paper “Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News”, with Martin Kappes and Marc-Oliver Pahl, is now published in the Companion Publication of the ACM Web Science Conference…
