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Ipek Baris Schlicht on Muck Rack

Ipek Baris Schlicht

As seen in: Wiley Online Library, Dialnet - Universidad de La Rioja
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Articles

On the Multi-lingual and Multi-epidemic Detection of Misinformation in Health

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By Ipek Baris Schlicht, Baris Schlicht
| Dialnet - Universidad de La Rioja
El acceso a información en línea sobre la atención sanitaria es una fuente primaria para muchas personas. Además de esto, los modelos de lenguaje de gran tamaño (LLMs, por sus siglas en inglés) han comenzado a utilizarse como proveedores de información. Sin embargo, las fuentes de información en línea agravan los desafíos existentes relacionados con la desinformación, particularmente en contextos multilingües donde la disponibilidad y la calidad de los datos varían significativamente.
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From Past Outbreaks to Future Threats: Detecting Medical Conspiracy Theories With LLMs and Limited Labels

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By Ipek Baris Schlicht, Berta Chulvi, Lucie Flek
| Wiley Online Library Verified
1 Introduction Conspiracy theories (CTs) are a type of misinformation that attempts to explain the reasons for societal events as the outcome of malicious actors with hidden agendas (Douglas and Sutton 2023). Medical CTs focus on health-related topics such as causes and consequences of an epidemic, vaccination and public health policies. The spread of medical CTs can have serious consequences, such as increasing vaccine hesitancy and undermining of public health efforts (Ullah et al. 2021).
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MedSyn: Enhancing Diagnostics with Human-AI Collaboration

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By Ipek Baris, Ngoc Vo, Ngoc Hong, Ipek Baris Schlicht
| arXiv
[Submitted on 7 May 2025] Title:MedSyn: Enhancing Diagnostics with Human-AI Collaboration View a PDF of the paper titled MedSyn: Enhancing Diagnostics with Human-AI Collaboration, by Burcu Sayin and Ipek Baris Schlicht and Ngoc Vo Hong and Sara Allievi and Jacopo Staiano and Pasquale Minervini and Andrea Passerini View PDF Abstract:Clinical decision-making is inherently complex, often influenced by cognitive biases, incomplete information, and case ambiguity.
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