Mapping Keywords and Themes of UGM’s SDGs Articles: A Corpus-Based Study
- DOI
- 10.2991/978-2-38476-563-8_26How to use a DOI?
- Keywords
- Sustainable Development Goals; Corpus Linguistics; Keyness Analysis; Lexical Mapping; Universitas Gadjah Mada; Academic Discourse
- Abstract
This study analyzes Universitas Gadah Mada’s (UGM) news coverage of the Sustainable Development Goals (SDGs) published on ugm.ac.id between January 2020 and June 2024. The research maps the keywords and thematic orientations of UGM’s news coverage of SDGs, with a specific focus on SDGs 7, 8, 9 and 17. Using a corpus-based approach and log-likelihood keyness analysis through AntConc 4.2.0, the study compares the lexical prominence of terms in UGM’s SDG corpus with Elsevier’s SDG keyword list as a reference corpus. The findings reveal distinct thematic emphases: SDG 7 (Affordable and Clean Energy) centers on energy, solar, wind, and hydro, emphasizing renewable energy research; SDG 8 (Decent Work and Economic Growth) highlights tourism, labour, employment, and productivity, indicating focus on inclusive economic progress; SDG 9 (Industry, Innovation and Infrastructure) is represented by manufacturing, industrial, infrastructure, and innovation, showcasing technological advancement and industrial capacity building; and SDG 17 (Partnerships for the Goals) features trade, debt, investment, and agreement, underscoring the university’s engagement in global partnerships and policy collaboration. Overall, the study provides a lexical and thematic map of UGM’s SDG discourse, demonstrating how institutional research communication aligns with the UN 2030 Agenda through innovation, inclusivity, and international cooperation.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Erlin Estiana Yuanti AU - Tri Nuraniwati AU - Azizah Ayu Nursiami Sugiharto PY - 2026 DA - 2026/04/28 TI - Mapping Keywords and Themes of UGM’s SDGs Articles: A Corpus-Based Study BT - Proceedings of the 4th International Conference of Research on Language 2025 (IROLE 2025) PB - Atlantis Press SP - 345 EP - 359 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-563-8_26 DO - 10.2991/978-2-38476-563-8_26 ID - Yuanti2026 ER -