Supplementary Dataset on Emerging Trends and New Developments in Politeness Studies

Description

This supplementary dataset supports the scientometric review titled Emerging Trends and New Developments in Politeness Studies (1995–2024). It includes raw and processed data derived from Scopus and Web of Science databases using the search query :politeness OR impoliteness OR "politeness strategy." The dataset comprises 8,574 unique records (after duplicate removal) in plain text format, suitable for use with scientometric tools such as CiteSpace. The dataset contains bibliographic fields including title, authors, publication year, abstract, keywords, DOI, cited references, and institutional affiliations. Additional data files include co-citation matrices, keyword co-occurrence networks, institutional and country-level collaboration maps, citation burst analyses, and cluster labeling output. These components enable reproducibility and extended analysis by researchers aiming to examine the evolution, productivity, collaboration, and thematic developments in politeness research. The dataset serves as a foundational resource for exploring trends in computer-mediated communication, face-threatening acts, cross-cultural comparisons, and digital discourse. It also documents the increasing global participation from emerging research hubs and provides valuable insights into influential authors, journals, and institutions. Researchers are encouraged to use this dataset to replicate the findings of the review, conduct comparative scientometric studies, or develop further inquiries into the intellectual structure and interdisciplinary expansion of politeness studies.

Steps to reproduce

To reproduce the scientometric analysis of politeness studies using CiteSpace, researchers must begin by collecting data from the Scopus and Web of Science databases using the search terms “politeness OR impoliteness OR 'politeness strategy'.” After removing duplicates, the cleaned dataset should be imported into CiteSpace, configured with a time slicing range from 1995 to 2024. Users must select node types such as keywords, references, and authors, apply pruning techniques, and use metrics like centrality and burst detection. The software generates visual networks that reveal collaboration patterns, thematic clusters, and emerging trends, offering comprehensive insights into the evolution of politeness research.

Institutions

• Universiti Brunei Darussalam

  Brunei-Muara, Gadong

Categories

Licence