Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Chiến Lược Liên Kết Của Hành Vi Lời Nói Của Các Nhà Giao Tiếp Trong Mã Hóa Diễn Ngôn: Một Cách Tiếp Cận Liên Ngành Để Hiểu Vai Trò Của Các Quy Trình Nhận Thức Và Ngôn Ngữ Trong Giao Tiếp
Tóm tắt
Trong truyền thông hiện đại, tên của các hình ảnh trong truyện cổ tích và huyền thoại được sử dụng để truyền tải những cảm xúc và hàm nghĩa nhất định. Mục tiêu của nghiên cứu này là phân tích các chiến lược liên kết đặc trưng liên quan đến các hình ảnh thần thoại của rồng, hổ giấy và kìm hãm trong các văn bản tin tức của truyền thông đại chúng châu Âu và Trung Quốc. Trong bài viết này, phương pháp phân tích văn bản được sử dụng để xác định các mẫu và những cách diễn giải có thể nhất của các đơn vị từ vựng. 100 bài viết từ các ấn phẩm Trung Quốc và châu Âu đã được chọn cho phân tích (khoảng People's Daily Online, China News Service, Guardian và France 24). Các lexeme cần thiết được sử dụng rộng rãi nhất trong các bài báo chủ đề chính trị. Hình ảnh hổ giấy được sử dụng nhiều nhất (4001 và 3587 đơn vị). Điều này có liên quan đến ý nghĩa ẩn dụ nổi tiếng của nó trong cả hai nền văn hóa, trong khi hình ảnh rồng thì khác nhau giữa Trung Quốc và châu Âu. Nghiên cứu tiếp theo có thể tập trung vào việc tìm kiếm và phân tích các hình ảnh cổ tích và huyền thoại khác trong truyền thông đại chúng. Kết quả của nghiên cứu hiện tại cũng có thể được áp dụng cho các nghiên cứu tiếp theo trong lĩnh vực ngôn ngữ học và báo chí.
Từ khóa
#chiến lược liên kết #hành vi lời nói #giao tiếp #hình ảnh thần thoại #phân tích văn bảnTài liệu tham khảo
Aldunate, N., Villena-González, M., Rojas-Thomas, F., López, V., & Bosman, C. A. (2018). Mood detection in ambiguous messages: The interaction between text and emoticons. Frontiers in Psychology, 9, 423. https://doi.org/10.3389/fpsyg.2018.00423
Altheide, D. (2019). Media worlds in the postjournalism era. Routledge. https://doi.org/10.4324/9781351328883
Arnold, M. (2018). Dragon: Fear and power. Reaktion Books. https://doi.org/10.4324/9781351328883
Atabekova, A., Lutskovskaia, L., & Kalashnikova, E. (2022). Axiology of Covid-19 as a linguistic phenomenon. Journal of Information Science, in Press. https://doi.org/10.1177/01655515221091542
Bandhakavi, A., Wiratunga, N., Massie, S., & Padmanabhan, D. (2017). Lexicon generation for emotion detection from text. IEEE Intelligent Systems, 32(1), 102–108. https://doi.org/10.1109/MIS.2017.22
Bradshaw, S., & Howard, P. N. (2018). Challenging truth and trust: A global inventory of organized social media manipulation. The computational propaganda project. University of Oxford.
Campbell, W. J. (2017). Getting it Wrong: Debunking the Greatest Myths in American Journalism. University of California Press.
Choi, J., Lee, S. Y., & Ji, S. W. (2021). Engagement in emotional news on social media: Intensity and type of emotions. Journalism & Mass Communication Quarterly, 98(4), 1017–1040. https://doi.org/10.1177/1077699020959718
Crawford, K., & Gillespie, T. (2016). What is a flag for? Social media reporting tools and the vocabulary of complaint. New Media and Society, 18(3), 410–428. https://doi.org/10.1177/1461444814543163
Davlatovna, T. K. (2022). Media text as a component of mass communication. Asian Journal of Research in Social Sciences and Humanities, 12(4), 218–224. https://doi.org/10.5958/2249-7315.2022.00183.6
Fang, X. (2017). About disease nomination productive suffixes in modern Russian and Chinese. In Languages in Science and Education: Problems and Prospects (pp. 63–67). Open knowledge.
Field, A. (2022). Mining the ambient commons: Building interdisciplinary connections between environmental knowledge, AI and creative practice research. Interdisciplinary Science Reviews, 47(2), 185–198. https://doi.org/10.1080/03080188.2022.2036408
Graham, M. W., Avery, E. J., & Park, S. (2015). The role of social media in local government crisis communications. Public Relations Review, 41(3), 386–394. https://doi.org/10.1016/j.pubrev.2015.02.001
Hansen, A. (2018). Environment. Routledge. https://doi.org/10.4324/9781315625317
Hartmann, S. (2020). Identifying discourse patterns in social media comments on “politically correct” language. Yearbook of the German Cognitive Linguistics Association, 8(1), 27–44. https://doi.org/10.1515/gcla-2020-0003
Hoemann, K., Wu, R., LoBue, V., Oakes, L. M., Xu, F., & Barrett, L. F. (2020). Developing an understanding of emotion categories: Lessons from objects. Trends in Cognitive Sciences, 24(1), 39–51. https://doi.org/10.1016/j.tics.2019.10.010
Humphreys, A., & Wang, R. J. H. (2018). Automated text analysis for consumer research. Journal of Consumer Research, 44(6), 1274–1306. https://doi.org/10.1093/jcr/ucx104
Iftikhar, I., Yasmeen, B., & Khan, M. K. (2022). Value orientation of social media consumers: Tolerance for equality and equal opportunities. Online Media and Society, 3, 1–14.
Igwebuike, E. E. (2018). Discursive strategies and ideologies in selected newspaper reports on the Nigerian-Cameroonian Bakassi peninsula border conflict. Communication and the Public, 3(2), 151–168. https://doi.org/10.1177/205704731774850
Jain, V. K., Kumar, S., & Fernandes, S. L. (2017). Extraction of emotions from multilingual text using intelligent text processing and computational linguistics. Journal of Computational Science, 21, 316–326. https://doi.org/10.1016/j.jocs.2017.01.010
Jalais, A. (2018). Reworlding the ancient Chinese tiger in the realm of the Asian Anthropocene. International Communication of Chinese Culture, 5(1), 121–144. https://doi.org/10.1007/s40636-018-0123-8
Karabulatova, I. S., Lagutkina, M. D., & Amiridou, S. (2021a). The mythologeme “coronavirus” in the modern mass media news in Europe and Asia. Journal of Siberian Federal University. Humanities & Social Sciences, 14(4), 558–567. https://doi.org/10.17516/1997-1370-0742
Karabulatova, I. S., Lagutkina, M. D., Borodina, N. V., Streltsova, M. A., & Bakhus, A. O. (2021b). Formation of ethnosocial identity in the matrix of media discourse. Amazonia Investiga, 10(43), 234–247. https://doi.org/10.34069/AI/2021.43.07.23
Kelsey, D. (2019). News, discourse, and ideology. In The Handbook of Journalism Studies (pp. 246–260). Routledge.
Lagutkina, M. D., Karabulatova, I. S., Savchuk, I. P., Onina, S. V., & Nurgaliyeva, M. E. (2021). Siberia as a trigger of geopolitical conflictogenic media discourse. Journal of Siberian Federal University. Humanities & Social Sciences, 14(10), 1436–1454. https://doi.org/10.17516/1997-1370-0829
Lee, M., Jeong, M., & Lee, J. (2017). Roles of negative emotions in customers’ perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach. International Journal of Contemporary Hospitality Management, 29(2), 762–783. https://doi.org/10.1108/IJCHM-10-2015-0626
Lin, Y., Karabulatova, I. S., Shirobokov, A. N., Bakhus, A. O., & Lobanova, E. N. (2021). Cognitive distortions in the reflection of civic identity in China: On the material of Russian-language media of East and Western. Amazonia Investiga, 10(44), 115–125. https://doi.org/10.34069/AI/2021.44.08.11
Liu, W., Lai, C. H., & Xu, W. W. (2018). Tweeting about emergency: A semantic network analysis of government organizations’ social media messaging during hurricane Harvey. Public Relations Review, 44(5), 807–819. https://doi.org/10.1016/j.pubrev.2018.10.009
Mahmudovna, M. N., & Feruza, S. (2021). Terminological studies of the category of emotivity in the text. In International Conference on Multidisciplinary Research and Innovative Technologies (pp. 95–97). Academia Science.
Marsh, D. E., Punzalan, R. L., Leopold, R., Butler, B., & Petrozzi, M. (2016). Stories of impact: The role of narrative in understanding the value and impact of digital collections. Archival Science, 16, 327–372. https://doi.org/10.1007/s10502-015-9253-5
Martel, C., Pennycook, G., & Rand, D. G. (2020). Reliance on emotion promotes belief in fake news. Cognitive Research: Principles and Implications, 5(1), 1–20.
Paul, C. (2019). The myth of immateriality-presenting and preserving new media. Retrieved 15 March 2023 from http://95.216.75.113:8080/xmlui/handle/123456789/389
Pearson, J. C., Nelson, P. E., Titsworth, S., & Harter, L. (2017). Human communication. McGraw-Hill Education.
Qin, M., Xiao, D., Yuan, L., & Karabulatova, I. (2022). Emotive tonality of the" youth–old age" dichotomy in Russian and Chinese media discourses: The stage of psychosemantic expertise. Journal of Psycholinguistic Research, in Press. https://doi.org/10.1007/s10936-022-09899-z
RIA-Novosti (2016). Pavel Gaikov, "He is a Dragon": how an actor from Russia won the hearts of Chinese teenagers. Retrieved 15 March 2023 from https://ria.ru/20160219/1377217783.html
Rosas, O. V., & Serrano-Puche, J. (2018). News media and the emotional public sphere—Introduction. International Journal of Communication, 12, 9.
Ruan, Y., & Karabulatova, I. S. (2021). The experience of the loss of the motherland by representatives of Russian emigration in the Chinese provinces (1905–1917). Bylye Gody, 16(3), 1501–1510. https://doi.org/10.13187/bg.2021.3.1501
Sailunaz, K., Dhaliwal, M., Rokne, J., & Alhajj, R. (2018). Emotion detection from text and speech: A survey. Social Network Analysis and Mining, 8(1), 1–26. https://doi.org/10.1007/s13278-018-0505-2
Saud, M., Mashud, M. I., & Ida, R. (2020). Usage of social media during the pandemic: Seeking support and awareness about COVID-19 through social media platforms. Journal of Public Affairs, 20(4), e2417. https://doi.org/10.1002/pa.2417
Tan, K. H., Woods, P., Azman, H., Abdullah, I. H., Hashim, R. S., Rahim, H. A., Idrus, M. M., Said, N. E. M., Lew, R., & Kosem, I. (2020). COVID-19 insights and linguistic methods. 3L, Language, Linguistics, Literature, 26(2), 1–23. https://doi.org/10.17576/3L-2020-2602-01
Tian, Z., Ye, S., & Qian, H. (2020). The flying dragon and the dancing phoenix: Chinese totem myths. In: Myths of the Creation of Chinese (pp. 43–74). Springer.
Torro, O., Pirkkalainen, H., & Li, H. (2022). Media synchronicity in organizational social exchange. Information Technology and People, 35(8), 162–180. https://doi.org/10.1108/ITP-06-2020-0384
van Krieken, K., & Sanders, J. (2017). Framing narrative journalism as a new genre: A case study of the Netherlands. Journalism, 18(10), 1364–1380. https://doi.org/10.1177/1464884916671156
Vandenbosch, L., & Eggermont, S. (2016). The interrelated roles of mass media and social media in adolescents’ development of an objectified self-concept: A longitudinal study. Communication Research, 43(8), 1116–1140. https://doi.org/10.1177/0093650215600488
Vatskovskaia, I., & Abrosimova, N. (2021). Training in translation of emotionally coloured words in a news report. In EDULEARN21 Proceedings (pp. 6468–6476). IATED.
Waisbord, S. (2019). The vulnerabilities of journalism. Journalism, 20(1), 210–213. https://doi.org/10.1177/1464884918809283
Webbink, D., Van Erp, J., & van Gastel, F. (2017). The effect of media exposure of suspects on solving crime. The Economic Journal, 127(600), 547–570. https://doi.org/10.1111/ecoj.12287
Wei, L. (2018). Translanguaging as a practical theory of language. Applied Linguistics, 39(1), 9–30. https://doi.org/10.1093/applin/amx039
Wilhelm, C., Joeckel, S., & Ziegler, I. (2020). Reporting hate comments: Investigating the effects of deviance characteristics, neutralization strategies, and users’ moral orientation. Communication Research, 47(6), 921–944. https://doi.org/10.1177/0093650219855330
Wu, J., & Liu, Y. (2020). Deception detection methods incorporating discourse network metrics in synchronous computer-mediated communication. Journal of Information Science, 46(1), 64–81. https://doi.org/10.1177/0165551518823176
Xu, K. (2018). Painting Chinese mythology: Varying touches on the magazine covers of Time, The Economist, Der Spiegel, and China Today. International Communication Gazette, 80(2), 135–157. https://doi.org/10.1177/1748048517707386
Zakharova, A. (2020). Chimera patterns in networks. Springer. https://doi.org/10.1007/978-3-030-21714-3
Zerfass, A., Verčič, D., Nothhaft, H., & Werder, K. P. (2018). Strategic communication: Defining the field and its contribution to research and practice. International Journal of Strategic Communication, 12(4), 487–505. https://doi.org/10.1080/1553118X.2018.149348
Zheltukhina, M. R., Klushina, N. I., Ponomarenko, E. B., Vasilkova, N. N., & Dzyubenko, A. I. (2017). Modern media influence: Mass culture–mass consciousness–mass communication. Xlinguae, 10(4), 496–105. https://doi.org/10.18355/XL.2017.10.04.09
Zhiyuan, X. (2015). Paper Tiger: Inside the Real China (Vol. 4). Head of Zeus.
Zhongguo suyu yanina ku (2001). Collection of Chinese folk Sayings, proverbs and sayings. Vol. I, II. Zhengzhou.
Zhou, T. (2022). Examining online health community users’ sharing behaviour: A social influence perspective. Information Development, 38(4), 599–608. https://doi.org/10.1177/02666669211007188