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Dustin S. Stoltz; Marshall A. Taylor; Jennifer S. K. Dudley – Sociological Methods & Research, 2025
Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…
Descriptors: Computational Linguistics, Social Science Research, Dictionaries, Research Problems
Simone Zhang; Janet Xu; A. J. Alvero – Sociological Methods & Research, 2025
The growing popularity of generative artificial intelligence (AI) tools presents new challenges for data quality in online surveys and experiments. This study examines participants' use of large language models to answer open-ended survey questions and describes empirical tendencies in human versus large language model (LLM)-generated text…
Descriptors: Artificial Intelligence, Online Surveys, Responses, Social Science Research
Liping Guo; Sarah Miller; Wenjie Zhou; Zhipeng Wei; Junjie Ren; Xinyu Huang; Xin Xing; Howard White; Kehu Yang – Campbell Systematic Reviews, 2025
Background: A systematic review is a type of literature review that uses rigorous methods to synthesize evidence from multiple studies on a specific topic. It is widely used in academia, including medical and social science research. Social science is an academic discipline that focuses on human behaviour and society. However, consensus regarding…
Descriptors: Foreign Countries, Literature Reviews, Social Science Research, Meta Analysis
Austin C. Kozlowski; James Evans – Sociological Methods & Research, 2025
Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…
Descriptors: Artificial Intelligence, Social Science Research, Computer Simulation, Research Methodology
Tina Law; Elizabeth Roberto – Sociological Methods & Research, 2025
Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…
Descriptors: Artificial Intelligence, Visual Aids, Open Source Technology, Social Science Research
Norah Alsharidi – Journal of Education and Learning, 2025
Educational research enquiries differ based on philosophical beliefs and assumptions regarding researchers' explicitly stated views. This paper critically explores the most dominant philosophical stances in social research sciences, namely positivism, interpretivism and pragmatism. It begins with an overview of the role of the aforementioned…
Descriptors: Educational Research, Social Science Research, Philosophy, Beliefs
Roza Sagitova; Zarena Syrgak kyzy; Lynne Parmenter – Research Ethics, 2025
This paper addresses the issue of how local and global norms and requirements are negotiated in the early stages of development of Social Science research ethics policy in a Global South context. A review of relevant literature followed by analysis of relevant national and institutional policies highlights both tensions and creative potential for…
Descriptors: Developing Nations, Social Science Research, Local Norms, Global Approach