Abstract

To gain an in-depth understanding of news translation studies and provide insights for future research directions, this study conducts a bibliometric analysis using VOSviewer and CiteSpace. Based on 255 journal articles from the Web of Science database, covering all records up to December 31, 2023, influential authors, countries, and journals are identified. CiteSpace is used for evolutionary analysis to track the developmental trajectories of keywords, while VOSviewer performs co-occurrence analysis to reveal associations among keywords and research topic concentrations. Additionally, cited references, authors, and journals are explored to deepen the understanding of the theoretical foundations of news translation studies. The results indicate significant growth in news translation research over the past two decades, particularly after 2010, with Robert A. Valdeón emerging as a highly influential scholar. An enhanced interdisciplinary trend is revealed, and the proportion of core authors is lower than Price’s expected 50%, indicating the field is still in its early developmental stage. Furthermore, the application of artificial intelligence and machine translation in current literature remains sparse. The combined results from VOSviewer and CiteSpace enhance comprehension of news translation studies and pave the way for future advancements in both theoretical and practical realms.

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