Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 24, 03 January 2024
Open
Access | Article
A Corpus-based Comparison of Lexical Features in English News: China Daily and CNN’s Reports about Russia-Ukraine Conflict as Examples
* Author to whom correspondence should be addressed.
Abstract
The news plays a crucial role in disseminating information to the public. The use and preferences of vocabulary in news articles reflect the language proficiency, attitudes, and positions of news writers. Therefore, this study examines the differences in vocabulary characteristics between China Daily, a Chinese news organization, and CNN, a US news organization, in their news writing on the Russia-Ukraine conflict. Through corpus-based research methods, the study aims to explore the differences in lexical features and provide insights for journalists and English writing learners in terms of vocabulary selection and comprehension when writing and reading English news about the Russia-Ukraine conflict and related war and conflict events.
Keywords
Lexical Features, Corpus, English News, Russia-Ukraine Conflict
References
1. Li, X. Z. (2016). The Formation and Acquisition of Style J. Contemporary Rhetoric, (6), 4-10.
2. Lambrou, M., & Durant, A. (2014). Media stylistics [A]. In P. Stockwell & S. Whiteley (Eds.), The Cambridge Handbook of Stylistics (Cambridge Handbooks in Language and Linguistics) [C] (pp. 503-519). Cambridge: Cambridge University Press.
3. Chen, Y. (1980). Language and Social Life: Sociolinguistics Notes M. Shanghai: Xinzhi Sanlian Bookstore Publishing.
4. Lewis, M. (1993). The Lexical Approach: The state of ELT and a Way Forward [M]. Hove: Language Teaching Publications.
5. Baker, P. (2006). Using Corpora in Discourse Analysis [M]. London: Continuum.
6. Leech, G. N., & Short, M. (2007). Style in fiction: A linguistic introduction to English fictional prose (No. 13) [M]. London: Pearson Education.
7. Fowler, R. (2013). Language in the News: Discourse and Ideology in the Press [M]. Oxfordshire: Routledge.
8. Weng, Y. X. (2016). Vocabulary Feature Study of English News Headlines D. Dalian: Dalian Maritime University.
9. Weng, Y. X. (2018). Corpus-Based Quantitative Study on Vocabulary Distribution of English News Headlines J. Journal of Guangdong University of Foreign Studies, (5), 26-33.
10. Huang, Z. X., & Liu, Z. Y. (2020). Corpus-Based Analysis of English News Lead Writing Style J. Journal of Wuhan Metallurgical Management Institute, (3), 91-93.
11. Zang, Y. Y. (2011). Stylistic Features of English News Vocabulary J. News Lovers, (10), 114-115.
12. Shi, Z. Y. (2017). Corpus-Based Study on Stylistic Features of English Political News Vocabulary in China Daily D. Henan: Xinyang Normal University.
13. Yang, Q. Q. (2018). Comparative Study on English News Reporting Style of Xinhuanet and BBC Based on Corpus D. Henan: Henan University of Technology.
14. Han, D. J. (2021). Corpus-Based Study on the Vocabulary Richness of English News in Chinese Media J. Modern Communication, (11), 82-84.
15. Lu, J. (2022). Comparative Study on the Stylistic Features of Chinese and English Broadcast English News Reporting Based on Corpus J. Journal of Henan Polytechnic University (Social Science Edition), (5), 87-92.
16. Hu, L. (2014). Lexical Features of English News from the Perspective of Economic and Trade News J. News Front, (9), 119-120.
17. Lin, J., Li, C. F., & Yu, J. (2018). Setting the Threshold of Business English Professional Vocabulary: Based on the Analysis of Business English News in Financial Times and Fortune from 2006 to 2015 J. Journal of Xiamen University (Philosophy and Social Sciences), (2), 165-172.
18. Yi, S. (2013). Comparative Study on Language Features of English News Reporting and News Commentary D. Wuhan: China University of Geosciences.
19. Giglou, H. B., Razmara, J., Rahgouy, M., & Sanaei, M. (2020, September). LSACoNet: A Combination of Lexical and Conceptual Features for Analysis of Fake News Spreaders on Twitter. In CLEF (Working Notes).
20. Nauman Ahmed, H., & Islam, M. (2020). Influence of COVID-19 on the Lexical Features of English in Pakistan [J]. Linguistics and Literature Review, 6 (2), 69- 82.
21. He, X. Z., & Zhou, X. Z. (2015). Contrastive analysis of lexical choice and ideologies in news reporting the same accidents between Chinese and American newspapers [J]. Theory and Practice in Language Studies, 5(11), 2356.
22. Xu, M., & Sun, T. (2022). Structural Analysis of Lexical Bundles in English News on Health from China and UK Newspapers [A]. In Daren Zheng (Eds.). 2022 International Sociology, Economics, Education and Humanities Conference [C]. Canada: Clausius Scientific Press.
23. Liu J (2022) Lexical Features of Economic Legal Policy and News in China Since the COVID-19 Outbreak [J]. Front. Public Health, 10:928965.
24. Ling, Z. H. (2016). A Corpus-Based Study of Lexical Features of Nonnative English from the Perspective of the Belt and Road [A]. In Y. W. Ge, L. Hale, and J. Zhang (Eds.). In Proceedings of International Symposium on Policing Diplomacy and the Belt & Road Initiative [C] (pp. 246-251). Georgia: The American Scholars Press.
25. He, Anping. (2022). The Advantages and Applications of Corpus Intelligent Learning Platform: A Case Study of High School English Teaching [J]. Research on Classroom Teaching in Primary and Secondary Schools, (01), 1-5.
26. Ure, J. (1971). Lexical Density and Register Differentiation [J]. Contemporary Educational Psychology, 5, 96-104.
27. Covington, M. A., McFall, J. D., & Millsap, R. E. (2016). Standardized assessment of computerized linguistic and psychoacoustic features of speech [J]. Journal of Speech, Language, and Hearing Research, 59(4), 767-777.
28. Mahlberg, M., Smith, N., & Wallis, K. (2017). Standardized Type-Token Ratios (STTR) as a Standardized Measure of Lexical Diversity [J]. Language Resources and Evaluation, 51(4): 1009-1021.
29. Butler, C. (1985). Statistics Linguistics [M]. Oxford: Basil Blackwell.
30. Tian, Yuanyuan. (2009). Corpus-Based Study on Australian News English Vocabulary [D]. Dalian: Dalian Maritime University.
31. Amoroso, C. G. N., & Smith, E. M. (1967). An Automated Readability Index [J]. Journal of Applied Psychology, 51(2), 119–125.
32. Just, M. A., & Carpenter, P. A. (1980). The effects of sentence length, relevance, and familiarity on reading rates [J]. Journal of Verbal Learning and Verbal Behavior, 19(5), 467-478.
33. Quirk, R. (1990). Language varieties and standard language. English today, 6(1), 3-10.
34. Van Dijk, T. A. (1998). Opinions and ideologies in the press [J]. Approaches to media discourse, 21(63).
35. Xu, Youzhi. (2005). English Stylistics Course [M]. Beijing: Higher Education Press.
36. Biber, D., Conrad, S., & Johansson, S. (2009). Longman grammar of spoken and written English [M]. Beijing: Foreign Language teaching and research Press.
37. Guo, Qing, Tan, Yingwen, & Dai, Weiping. (2015). English News and Vocabulary Research [M]. Guangzhou: World Book Publishing House.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies
- ISBN (Print)
- 978-1-83558-251-0
- ISBN (Online)
- 978-1-83558-252-7
- Published Date
- 03 January 2024
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/24/20231491
- Copyright
- 03 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited