250 citations · 252 across the 5 of their papers we have counts for
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cs.CL2026
FakeSpotter: A content and strategy agnostic Viral Misinformation Detection Tool
Giovanni Spitale, Federico Germani
Misinformation detection tools often rely on binary true and false classifications or models trained on historical examples, limiting their usefulness when novel misleading narrati…
cs.CR2026
Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation
Federico Germani, Giovanni Spitale
Watermarking is often presented as a straightforward solution for distinguishing AI-generated from human-generated content, enabling platforms and regulators to trace synthetic con…
cs.AI2026
Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines
Federico Germani, Giovanni Spitale
Large language models are often described as sycophantic, in the sense that they appear to flatter users or mirror their beliefs. We argue that this label is conceptually misleadin…