The Language of Influence: Analyzing Lexical Density and Readability in Political Editorials Across Leading Newspapers

Authors

  • Franinta Egia D. R Br Sembiring Universitas Sumatera Utara
  • Nadya Elchaira Universitas Sumatera Utara
  • Dzikri Ilma Universitas Sumatera Utara
  • Nurlela Universitas Sumatera Utara

DOI:

https://doi.org/10.52217/ijlhe.v7i2.1599

Keywords:

editorials, lexical density, newspaper, readability

Abstract

This research examines lexical density and readability in election-related editorials from five major international newspapers: The Guardian, The Washington Post, The Sydney Morning Herald, The Oberlin Review, and The Los Angeles Times. Lexical density, the ratio of content words to total words, indicates linguistic complexity, while readability scores reflect accessibility. The Guardian exhibits the highest lexical density (60.02%), followed by The Washington Post (58.14%), reflecting a preference for precise, complex language. In contrast, The Sydney Morning Herald has the lowest density (54.74%), suggesting greater accessibility. Readability assessments categorize most editorials as “difficult” or “fairly difficult,” with The Guardian, The Sydney Morning Herald, and The Oberlin Review requiring advanced reading skills due to intricate vocabulary and lengthy sentences. These findings reveal distinct editorial objectives. Newspapers like The Guardian cater to an analytical readership seeking in-depth analysis, while outlets such as The Sydney Morning Herald prioritize readability, potentially appealing to a broader audience. The study underscores the importance of linguistic choices in shaping audience engagement, influencing accessibility, and impacting readers’ perceptions of political content. Varying complexity levels suggest that editorial strategies align with the ideological and demographic goals of each publication.

References

Amer, M. A. B. (2021). Lexical Density and Readability of Secondary Stage English Textbooks in Jordan. International Journal for Management and Modern Education, 2(2), 11–20. http://www.ijmme.com

Amer, M. A. B., & Baarah, H. A. (2021). Readability and Lexical Density of Reading Sections of Tenth Grade English Textbooks in Jordan and Sultanate of Oman: A Comparative Study. Budapest International Research and Critics in Linguistics and Education (BirLE), September, 1138–1148. https://doi.org/10.33258/birle.v4i3.2438

Arshad, M., Yousaf, M. M., & Sarwar, S. M. (2023). Comprehensive Readability Assessment of Scientific Learning Resources. IEEE Access, 11(June), 53978–53994. https://doi.org/10.1109/ACCESS.2023.3279360

Choemue, S., & Bram, B. (2021). Lexical Richness in Scientific Journal Articles: A Comparison between ESL and EFL Writers. Indonesian Journal of EFL and Linguistics, 6(1), 147. https://doi.org/10.21462/ijefl.v6i1.349

Clavel-Arroitia, B., & Pennock-Speck, B. (2021). Analysing lexical density, diversity, and sophistication in written and spoken telecollaborative exchanges. Call-Ej, 22(3), 230–250.

Fadhil, A., Gunawan, W., & Wirza, Y. (2023). Lexical Density in EFL Indonesian Textbooks: A Comparative Analysis. JALL (Journal of Applied Linguistics and Literacy), 7(1), 121. https://doi.org/10.25157/jall.v7i1.9727

Halliday, M. A. K., & Webster, J. J. (2009). Continuum Companion to Systemic Functional Linguistics. In Continuum International Publishing Group (Vol. 11, Issue 1).

Hastomo, T., & Aminatun, D. (2023). An Analysis of Metadiscourse Markers in Online News Media: Qualitative Research. Lexeme : Journal of Linguistics and Applied Linguistics, 5(1), 95–103.

Kembaren, F. R., & Aswani, A. N. (2022). Exploring Lexical Density in the New York Times. ELLITE: Journal of English Language, Literature, and Teaching, 7(2), 109–119. https://doi.org/10.32528/ellite.v7i2.8795

Maamuujav, U. (2021). Examining lexical features and academic vocabulary use in adolescent L2 students’ text-based analytical essays. Assessing Writing, 49(March), 100540. https://doi.org/10.1016/j.asw.2021.100540

Maufiroh, Y. L., Hussen, B. T. E., & Femilia, P. S. (2024). Lexical Density of Reading Materials in An English Textbook: A Content Analysis. Journal of Language Intelligence and Culture, 6(2), 165–174. https://doi.org/10.35719/jlic.v6i2.104

Ngan, N. N. T., & Thao, N. T. T. (2016). Lexical Density and Readability of Non-English Majored Freshmen’s Writing in Vietnamese Context. 7th International Conference on TESOL: Innovations in …, November, 1–13.

Nkhobo, T., & Chaka, C. (2023). Syntactic pattern density, connectives, text easability, and text readability indices in students’ written essays: A Coh-Metrix analysis. Research Papers in Language Teaching and Learning, 13(1), 121–136.

Oktarin, I. B., Saputri, M. E. E., Magdalena, B., Hastomo, T., & Maximilian, A. (2024). Leveraging ChatGPT to enhance students’ writing skills, engagement, and feedback literacy. Edelweiss Applied Science and Technology, 8(4), 2306–2319. https://doi.org/10.55214/25768484.v8i4.1600

Putri, A. S., Anshary, E. P., Sinar, T. S., & Maharani, P. (2024). Analyzing Lexical Density and Readability in IELTS Band 4 Students’ Writing Test. International Journal Linguistics of Sumatra and Malay, 2(2), 96–102. https://doi.org/10.32734/ijlsm.v2i2.17886

Ramadhani, R., Aulawi, H., & Ulfa, R. L. (2023). Readability of Reading Texts as Authentic Materials Issued by ChatGPT: A Systemic Functional Perspective. IJELTAL (Indonesian Journal of English Language Teaching and Applied Linguistics), 8(2), 149. https://doi.org/10.21093/ijeltal.v8i2.1546

Rizkiani, D., Mahdi, S., & Sujatna, E. T. S. (2022). Lexical Density and Readability of the Facil’s ‘Advanced Learning Textbook’ for Indonesian High School Students. AL-ISHLAH: Jurnal Pendidikan, 14(1), 741–752. https://doi.org/10.35445/alishlah.v14i1.1157

Siregar, M. S., Hara, N. T., & Sinar, T. S. (2024). Lexical Density and Readability in Students’ Thesis Introductions. KLAUSA (Kajian Linguistik, Pembelajaran Bahasa, Dan Sastra), 8(1), 71–79. https://doi.org/10.33479/klausa.v8i1.948

Sujatna, E. T. S., Emilia, E., & Kurniasih, N. (2023). Readability of PISA-like Reading Texts: A Lesson Learned from Indonesian Teachers. World Journal of English Language, 13(1), 9–18. https://doi.org/10.5430/wjel.v13n1p9

Waziana, W., Andewi, W., Hastomo, T., & Hasbi, M. (2024). Students’ perceptions about the impact of AI chatbots on their vocabulary and grammar in EFL writing. Register Journal, 17(2), 328–362. https://doi.org/https://doi.org/10.18326/register.v17i2.352-382

Yang, Y., Yap, N. T., & Mohamad Ali, A. (2023). Predicting EFL expository writing quality with measures of lexical richness. Assessing Writing, 57(May 2022), 100762. https://doi.org/10.1016/j.asw.2023.100762

Zhu, H., Wang, T., &, & Pang, N. (2024). Investigating Diachronic Changes in Lexical Density of Academic Texts: A Corpus-based Study. Available at SSRN 4774270, March, 1–17. https://doi.org/10.2139/ssrn.4529173

Zulkornain, L. H., Mat, A. C., & Rahman, N. A. A. (2023). Does Automated Writing Evaluation (AWE) Improve Students’ Writing? Focus on Technical Aspects and Readability. International Journal of Information and Education Technology, 13(10), 1656–1662. https://doi.org/10.18178/ijiet.2023.13.10.1974.

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Published

2024-12-13

How to Cite

Br Sembiring, F. E. D. R., Nadya Elchaira, Dzikri Ilma, & Nurlela. (2024). The Language of Influence: Analyzing Lexical Density and Readability in Political Editorials Across Leading Newspapers. IJLHE: International Journal of Language, Humanities, and Education, 7(2), 231–242. https://doi.org/10.52217/ijlhe.v7i2.1599