10 citations · 36 across the 13 of their papers we have counts for
5 papers · 1 filter
Experts Disagree on How to Fight AI Disinformation, but Agree That Health and Politics Need Different Solutions
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
When 54 international experts assessed AI-generated disinformation threats, they revealed a surprising pattern: while video deepfakes received the highest average threat ratings in…
Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
Generative AI enables customized misinformation at scale, yet defenses remain largely reactive. We present empirical findings from a human-subject study (n=504 participants, n=2,43…
Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
As foundation models (FMs) approach human-level fluency, distinguishing synthetic from organic content has become a key challenge for Trustworthy Web Intelligence. This paper prese…
Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
Generative AI and misinformation research has evolved since our 2024 survey. This paper presents an updated perspective, transitioning from literature review to practical counterme…
The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance
Alexander Loth, Martin Kappes, Marc-Oliver Pahl
The growth of Generative Artificial Intelligence (GenAI) has shifted disinformation production from manual fabrication to automated, large-scale manipulation. This article presents…