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Linguistic Features of Copywriting and Rewriting in the Field of Text Content for Corporate Websites: Semantic Aspect

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Abstract

The study’s relevance lies in the distinction between the cognitive processes of human readers and search robots, particularly the contextual understanding and relevance determination capabilities of modern search engines. This study aims to address contemporary challenges related to online textual content, specifically focusing on texts found on corporate websites and corporate blogs. The study employs a comprehensive approach to analyze the creation of texts, considering both copywriting and rewriting techniques. The analysis includes an examination of textual activity on corporate websites and blogs. The research methodology involves investigating linguistic and psycholinguistic aspects, as well as the principles underlying search engines and their role in organic website promotion. The study also delves into the nature of multimedia articles as a distinct format of online content. The major finding of this research lies in the proposed method for assessing the cognitive effectiveness of copywriting and rewriting. The study sheds light on the intricate interplay between multimedia articles and their textual components, showcasing their potential for impactful audience engagement. The analysis of internet copywriting and rewriting in the realm of marketing discourse reveals their significance for search engine tasks and user engagement. In conclusion, this research underscores the practical importance of understanding the cognitive effectiveness of texts generated through copywriting and rewriting. The findings emphasize the role of multimedia articles and their textual elements in influencing audience engagement online. The study highlights the crucial connection between internet copywriting, rewriting, and successful marketing discourse, optimizing content for search engines and enhancing user experience.

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Data Availability

The data that support the findings of this study are available on request from the corresponding author.

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References

  • Alyousef, H. S., & Alyahya, A. M. (2018). The conceptualization of genre in systemic functional linguistics. RETORIKA: Jurnal Ilmu Bahasa, 4(2), 91–99.

    Google Scholar 

  • Blynova, N., & Kyrylova, O. (2018). Copywriting as an online content creation activity. Communications and Communicative Technologies, 18, 13–21.

    Article  Google Scholar 

  • Chan, Z., Zhang, Y., Chen, X., Gao, S., Zhang, Z., Zhao, D., & Yan, R. (2020). Selection and generation: Learning towards multi-product advertisement post generation. In Conference on empirical methods in natural language processing, proceedings of the conference (pp. 3818–3829). Association for Computational Linguistics.

  • Crossley, S. A. (2020). Linguistic features in writing quality and development: An overview. Journal of Writing Research, 11(3), 415–443.

    Article  Google Scholar 

  • Egbert, J., & Biber, D. (2023). Key feature analysis: A simple, yet powerful method for comparing text varieties. Corpora, 18(1), 121–133.

    Article  Google Scholar 

  • Ibraeva, J. K. (2010). Language of politics and language politics. To the substantiation of political linguistics. Publishing House of the Buryat State University.

  • Kurpatov, A. (2022). Thinking machine. Sence Academy.

  • Lachman, R., & Joffe, M. (2020). Applications of artificial intelligence in media and entertainment. In T. H. Musiolik, & A. D. Cheok (Eds.), Analyzing future applications of AI, sensors, and robotics in society (pp. 201–220). IGI Global.

  • Lucas, S. (2021). Applications and extensions of context-sensitive rewriting. Journal of Logical and Algebraic Methods in Programming, 121, 175–187.

    Article  MathSciNet  Google Scholar 

  • Luck, C. (2020). Rewriting language: How literary texts can promote inclusive language use. UCL Press.

  • Mialkovska, L., Zhvania, L., Rozhylo, M., Terebus, O., Yablonskyy, M., & Hrysiuk, V. (2023). Digital tools in teaching the mass media language. World Journal of English Language, 13(4), 43–48.

    Article  Google Scholar 

  • Mokal, M. N., & Halim, H. A. (2023). An analysis of lexico-semantic variations in Pakistani English newspaper corpus. World Journal of English Language, 13(6), 371–384.

    Article  Google Scholar 

  • Morady Moghaddam, M., & Esmaeilpour, F. (2023). Persuasive language in ELT-related ads on social media. Journal of Psycholinguistic Research, 52(4), 1263–1288.

    Article  PubMed  Google Scholar 

  • Perissutti, A. M., Kuri, S., & Doleschal, U. (2018). WRILAB2: A didactical approach to develop text competences in L2 (TransLIT. Sprach-, Literatur- Und Kulturkontraste). LIT Verlag.

  • Puerini, S. (2023). Text-production tasks at the keyboard linguistic and behavioral contrasts. Translation Cognition and Behavior, 6(1), 29–59.

    Article  Google Scholar 

  • Riccioni, I., Philip, G., Fermani, A., & Bongelli, R. (2023). Linguistic features and pragmatic functions of direct reported speech in Italian troubles telling sequences. Language and Communication, 90, 63–81.

    Article  Google Scholar 

  • Santini, M. (2019). Web pages, text types, and linguistic features: Some issues. ICAME Journal, 30, 67–86.

    Google Scholar 

  • Vishwakarma, D. K., Meel, P., Yadav, A., & Singh, K. (2023). A framework of fake news detection on web platform using ConvNet. Social Network Analysis and Mining, 13(1), 24.

    Article  Google Scholar 

  • Wu, J., & Zhao, J. (2023). Systematic correspondence in co-evolving languages. Humanities and Social Sciences Communications, 10(1), 469.

    Article  Google Scholar 

  • Youngmann, B., Yom-Tov, E., Gilad-Bachrach, R., & Karmon, D. (2021). Algorithmic copywriting: Automated generation of health-related advertisements to improve their performance. Information Retrieval Journal, 24, 205–239.

    Article  Google Scholar 

  • Zhou, J. (2023). Complexity of grammatical metaphor: An entropy-based approach. Semiotica, 2023(252), 173–185.

    Article  Google Scholar 

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Author notes

  1. Sanatbek Seidekhanov and Albina Dossanova contributed equally to this study.

Authors and Affiliations

  1. Department of Turkology and Language Theory, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Republic of Kazakhstan

    Sanatbek Seidekhanov & Albina Dossanova

Authors
  1. Sanatbek Seidekhanov
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  2. Albina Dossanova
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Contributions

Sanatbek Seidekhanov, Albina Dossanova conceived of the presented idea, developed the theory and performed the computations. Sanatbek Seidekhanov and Albina Dossanova verified the analytical methods and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.

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Correspondence to Sanatbek Seidekhanov.

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Seidekhanov, S., Dossanova, A. Linguistic Features of Copywriting and Rewriting in the Field of Text Content for Corporate Websites: Semantic Aspect. J Psycholinguist Res 53, 5 (2024). https://doi.org/10.1007/s10936-024-10051-2

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