AI and information
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2026
AI in Science: The 42 problem in AI-assisted research
Large language models are very good at providing concise answers. But if we only see the answer without knowing the original question or the context behind it, that answer may…
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A corpus of Swiss public-sector AI instruments
A corpus of Swiss public-sector AI instruments Version 1.1. Twenty-seven instruments, three levels of government, read in full and coded. Nineteen retrieved 14 September 2026 (v1.0); eight federal instruments added…
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The making of digital ghosts: designing ethical AI afterlives
The rapid proliferation of AI-mediated digital afterlife technologies, from chatbots trained on personal data to voice clones and posthumous avatars, has generated a substantial body of ethical literature identifying the…
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The structural fingerprints of disinformation: a content-agnostic framework
Infodemics fuel the proliferation of misinformation and disinformation, often outpacing the effectiveness of existing countermeasures. Current interventions—such as debunking and psychological inoculation—typically address either specific instances of false or misleading…
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Conspiracy theory as a component of religious biopolitics
The biopolitics of identity-centered religious movements has been a primary source of conspiracy theories in recent decades. This paper explores the shared characteristics of three examples of identity-centered religious and…
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Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis
Abstract Background:The COVID-19 pandemic has highlighted the challenges posed by the rapid spread of misinformation and disinformation, exacerbating societal polarization and institutional distrust. Understanding how misinformation and disinformation is understood…
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Why ethics in social listening and infodemic management matters for public health
In a time where mis/disinformation continues to shape public discourse and influence policy decisions, the need for effective and ethical infodemic management has never been more pressing. In this context,…
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Trump’s statements about acetaminophen and the problem of epistemic corrections
Public reactions to Trump’s claims linking prenatal acetaminophen use to autism highlight the importance of distinguishing between falsehood and the absence of methodological justification. While current evidence does not establish…
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2025
Source framing triggers systematic bias in large language models
Abstract Large language models (LLMs) are increasingly used to evaluate text, raising urgent questions about whether their judgments are consistent, unbiased, and robust to framing effects. Here, we examine inter-…
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S.A.R.A.H. and the decline of trust in health information: a case study
This case study critically examines S.A.R.A.H. (Smart AI Resource Assistant for Health) as an element of the World Health Organization’s (WHO) digital health strategy, focusing on its design and generated…