Gender Differences in Research Topic and Method Selection in Library and Information Science: Perspectives from Three Top Journals
arXiv:2607.01828v1 Announce Type: cross Abstract: Research in the social sciences has shown that there are gender differences in the selection of research methods, with women often opting for qualitative methods while men prefer quantitative methods. However, it is important to consider that research methods are generally chosen based on the research topic. To figure out the influence of gender on research method selection, a study was conducted in the field of Library and Information Science, using a more fine-grained method classification system and an automatic classification model called C
The increasing sophistication of AI models, particularly in natural language processing and classification, allows for detailed analysis of academic trends and biases across various fields.
Understanding potential gender biases in research topic and method selection is crucial for promoting equity and diversity in academic fields, influencing funding, publication, and career progression.
The application of AI to analyze research trends provides new tools for uncovering systemic biases that might otherwise be difficult to quantify and address.
- · Academic researchers
- · DEI initiatives in academia
- · AI-driven research analysis platforms
- · Institutions with unaddressed gender biases
- · Traditional qualitative research methods often overlooked
AI tools can expose specific patterns of gender-based topic and methodological preferences in academic research.
This exposure could lead to targeted interventions and policy changes within academic institutions to mitigate biases.
Over time, such interventions may foster more diverse and inclusive research environments, potentially altering the landscape of knowledge production.
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