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SDPI – Synthetic disinformation through politeness and impersonation
OSF repository with details, data and code: https://osf.io/jn349/ The present study investigates the impact of tone and impersonation on the production of synthetic disinformation using OpenAI’s Large Language Models (LLMs) davinci-002, davinci-003, gpt-3.5-turbo, and gpt-4. The primary objective of this study is to investigate the impact of impersonation and tone on the production of synthetic…
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Exploring the role of AI in classifying, analyzing, and generating case reports on assisted suicide cases: feasibility and ethical implications
This paper presents a study on the use of AI models for the classification of case reports on assisted suicide procedures. The database of the five Dutch regional bioethics committees was scraped to collect the 72 case reports available in English. We trained several AI models for classification according to the categories defined by the…
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AI model GPT-3 (dis)informs us better than humans
Artificial intelligence (AI) is changing the way we create and evaluate information, and this is happening during an infodemic, which has been having marked effects on global health. Here, we evaluate whether recruited individuals can distinguish disinformation from accurate information, structured in the form of tweets, and determine whether a tweet is organic or synthetic,…