Abstract
In the context of research on childhood sexual abuse (CSA), researchers face significant challenges due to the emotionally distressing nature of sensitive data (Williamson et al., 2020). The use of ChatGPT (OpenAI, 2023) offers valuable support in this area. This artificial intelligence (AI) tool facilitates efficient data processing while maintaining emotional distance by converting qualitative content into quantifiable formats. This approach not only aids in statistical analysis but also reduces the emotional burden on researchers (van Manen, 2023). The inter-coder reliability of this method has been evaluated and largely confirmed in various forms (Naranjos Velazquez, 2024; in press). In a comparative study, the results of AI models ChatGPT 3.5, ChatGPT 4 and ChatGPT 4o were analysed. Increased consistency was observed beginning with the ChatGPT 4 model, further highlighting the reliability of ChatGPT in processing sensitive information. This presentation explores the ethical and practical implications of AI use in research and discusses the limitations of this AI tool (Naranjos Velazquez, 2023a; in press).
Author Information
Noreen Naranjos_Velazquez, IU International University of Applied Sciences, Germany
Paper Information
Conference: BCE2024
Stream: Educational Research
This paper is part of the BCE2024 Conference Proceedings (View)
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To cite this article:
Naranjos_Velazquez N. (2025) ChatGPT in Research: Variable Extraction and Researcher Protection in the Context of Child Sexual Abuse ISSN: 2435-9467 – The Barcelona Conference on Education 2024: Official Conference Proceedings (pp. 935-944) https://doi.org/10.22492/issn.2435-9467.2024.79
To link to this article: https://doi.org/10.22492/issn.2435-9467.2024.79
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