Structural Elements of Political News Texts and Comments from Children Target Group

Modern online media offer online news magazines with commenting options for children from 8 to 12 years old. This paper features children's comments in their relation to the structure of a French-language political news text designed as Inverted pyramid. Children's comments to political news aimed at their age group are a new and unexplored scientific object. The research relied on the concept of cognitive constructivism of moral consciousness and involved such methods as content and intent analyses. Children proved to be active readers of political news: they expressed their opinions on the information presented in such structural elements as Lead, Body, Background, and Tail. The greatest response was triggered by Background, which narrates the facts that influenced the news event. Children usually reacted to information about victims of political events, political protesters, descriptions of life situations they can associate with, and events of global significance.

1. Abrosimova E. A., Kravchenko Yu. D. Reader comment as a phenomenon of media text interpretation (based on internet comments and experiment data). Mediascope, 2017, (2). (In Russ.) URL: http://www.mediascope.ru/2317 (accessed 30 Apr 2023). https://www.elibrary.ru/yzgnsx

2. Altukhova T. V. Correlation of the elements of oral and written speech in virtual communication. Sibirskii Filologicheskii Zhurnal, 2012, (1): 150–154. (In Russ.) https://www.elibrary.ru/owhddp

3. Asmus N. G. The axiological potential of internet comments as a reflection of social values. Russian Studies, 2021, 2(2): 22–32. (In Russ.) https://www.elibrary.ru/hczsqk

4. Golev N. D., Kim L. G. Dictum-modus pluralism in virtual dialogic discourse (based on Internet comments). Media Linguistics, 2023, 10(1): 4–26. (In Russ.) https://doi.org/10.21638/spbu22.2023.101

5. Golev N. Melnikova V. S., D., Jung D. A. Conceptual and categorical description of the conflict situation (case study of internet comments on vaccination against coronavirus). Legal Linguistics, 2022, (25): 50–55. (In Russ.) https://doi.org/10.14258/leglinleglin(2022)2508

6. Yergaliyeva S. Z., Melnik N. V. Linguopersonological potential of political online commentaries. Political Linguistics, 2019, (3): 46–53. (In Russ.) https://doi.org/10.26170/pl19-03-05

7. Zhukov A. S. Some structural features of news media texts. Molodoi uchenyi, 2014, (2): 943–945. (In Russ.) https://elibrary.ru/rvnpet

8. Ivanova L. V. News journalism. Tolyatti: TSU, 2017. (In Russ.) URL: https://studfile.net/preview/7544390/ (accessed 30 Apr 2023).

9. Kolesnichenko A. V. The journalist's handbook. Moscow: Aspect Press, 2013, 399. (In Russ.) https://elibrary.ru/schjun

10. Krasovskaya N. R., Gulyaev A. A., Lakhtin A. Yu. Methods of differentiation and channels of communication with target audiences. Mir nauki, kul'tury, obrazovaniya, 2019, (3): 114–115. (In Russ.) https://www.elibrary.ru/xpnyyq

11. Kuzmina N. A. Lyrical text in scientific and author's reflection. Functional semantics, ed. Krasina E. A. Moscow: PFUR, 2011, 222–238. (In Russ.) https://elibrary.ru/tdlrvn

12. Melnik G. S., Teplyashina A. N. Fundamentals of creative activity of a journalist. St. Petersburg: Piter, 2004, 272. (In Russ.) https://elibrary.ru/qtwjhb

13. Melnik N. V., Saveleva I. V. Linguopersonological strategies of text perception (case study of internet comments to political discourse). Vestnik Kemerovskogo gosudarstvennogo universiteta, 2017, (4): 197–204. (In Russ.) https://doi.org/10.21603/2078-8975-2017-4-197-204

14. Negryshev A. A. Pragmatics of the newspaper news headline: mechanisms of information transforming in the system headline – text. Lomonosov Philology Journal. Series 9. Philology, 2006, (1): 97–109. (In Russ.) https://www.elibrary.ru/htbiep

15. Nikonova L. Features of the use of language evaluation tools in Internet comments in Russian and German. Nauchno-prakticheskiye issledovaniya, 2020, (1-2): 75–78. (In Russ.) https://www.elibrary.ru/pohpgg

16. Novgorodova E. V. Variable interpretation aspect of the description of the online review. Man in the information space: Proc. Conf., Yaroslavl, 12–14 Nov 2020. Yaroslavl: YSPU, 2020, 118–123. (In Russ.) https://elibrary.ru/pwcfef

17. Pasechnaya L. A., Shcherbina V. E. The ways of expression of evaluation in internet commentaries. Izvestiia Volgogradskogo gosudarstvennogo pedagogicheskogo universiteta, 2020, (9): 87–92. (In Russ.) https://www.elibrary.ru/jjllcs

18. Piaget J. The moral judgment of the child. Moscow: Akad. proekt, 2006, 479. (In Russ.) https://www.elibrary.ru/tnipaz

19. Piaget J. The language and thought of the child. Moscow: RIMIS, 2008, 436. (In Russ.) https://www.elibrary.ru/qxusrp

20. Piaget J. The psychology of intelligence. Moscow: Piter, 2003, 191. (In Russ.)

21. Poloyan A. V. Polylogue in internet discourse: communicative and pragmatic aspect (based on news reports and comments to them). The Humanities and Social Sciences, 2020, (2): 232–243. (In Russ.) https://doi.org/10.18522/2070-1403-2020-79-2-232-243

22. Saveleva I. V. The strategies of political discourse perception by the authors of internet comments. Vestnik Kemerovskogo gosudarstvennogo universiteta, 2013, (2-2): 152–156. (In Russ.) https://www.elibrary.ru/qbrlkj

23. Samartsev O. R. Creative activity of a journalist. Moscow: Akad. proekt., 2007, 548. (In Russ.) https://elibrary.ru/qvkgkl

24. Steksova T. I. Note, commentary, and interpretation: an attempt to distinguish between concepts. Commentary and interpretation of the text, ed. Tripolskaya T. A. Novosibirsk: NSPU, 2008, 14–23. (In Russ.) https://www.elibrary.ru/splogp

25. Stepanova L. N. Typology of commentary in conditions of entering Network (based on lexicographic analysis). Uchenye zapiski Tavricheskogo natsionalnogo universiteta imeni V. I. Vernadskogo, 2013, 26(1): 398–403. (In Russ.)

26. Falomkina I. P. Verbal aggression in social media comments and monitoring of social tension (as exemplified by comments in @KUZBASS_NEWS). Sovremennaia nauka: aktualnye problemy teorii i praktiki. Seriia: Gumanitarnye nauki, 2020, (8-2): 101–105. (In Russ.) https://doi.org/10.37882/2223-2982.2020.08-2.21

27. Khazagerov G. G., Kornilova E. E. Rhetoric for a business person. Moscow: Flinta, 2008, 136. (In Russ.) https://www.elibrary.ru/sdqkst

28. Ju C. Internet-commentary as a form of evaluation for the guest in the cultural and educational radio. Mir nauki, kul'tury, obrazovaniya, 2018, (6): 678–680. (In Russ.) https://www.elibrary.ru/vbjbhn

29. Shchipitsina L. Yu. Genre status of an online comment. Bulletin of the Bashkir University, 2015, 20(2): 528–532. (In Russ.) https://www.elibrary.ru/ucacel

30. Anderson A. A., Brossard D., Scheufele D. A., Xenos M. A., Ladwig P. The "Nasty Effect:" online incivility and risk perceptions of emerging technologies. Journal of Computer‐Mediated Communication, 2014, 19(3): 373–378. https://doi.org/10.1111/jcc4.12009

31. Arfiyanti R., Syihabuddin M., Damaianti V. S., Anshori D. Construction of the language and the structure of news text in blog. Proceedings of the International Conference on Language Phenomena in Multimodal Communication (KLUA 2018), 2018, 228: 166–173. https://dx.doi.org/10.2991/klua-18.2018.25

32. Bruce I. Evolving genres in online domains: the hybrid genre of the participatory news article. Genres on the Web: Text, Speech and Language Technology, eds. Mehler A., Sharoff S., Santini M. Frankfurt am Main-Leeds-Stockholm: Springer, 2010, vol. 42, 323–348. https://doi.org/10.1007/978-90-481-9178-9_15

33. Crispin S. Attracting young readers – tactics for engagement. A report for the Robert Bell Travelling Scholarship. Christchurch: University of Canterbury, 2011, 25. URL: https://www.canterbury.ac.nz/media/documents/reports/Shanna-Crispin_robert_bell_report_nov11.pdf (accessed 30 Apr 2023).

34. DeAngelo T. I., Yegiyan N. S. Looking for efficiency: how online news structure and emotional tone influence processing time and memory. Journalism & Mass Communication Quarterly, 2018, 96(2): 385–405. https://doi.org/10.1177/1077699018792272

35. Eisenberg N. Altruistic emotion, cognition, and behavior. Hilsdale, 1986, 256.

36. Khan S. U. R., Islam M. A., Aleen M., Iqbal M. A., Ahmed U. Section-based focus time estimation of news articles. IEEE Access, 2018, 6: 75452–75460. https://doi.org/10.1109/ACCESS.2018.2882988

37. Kohlberg L. Essays on moral development. Vol. 2. The psychology of moral development. San-Francisco: Harper & Row, 1984, XXXVI+729.

38. Lee E.-J. That’s not the way it is: how user-generated comments on the news affect perceived media bias. Journal of Computer-Mediated Communication, 2012, 18(1): 32–45. https://doi.org/10.1111/j.1083-6101.2012.01597.x

39. Pottker H. News and its communicative quality: The inverted pyramid – When and why did it appear? Journalism Studies, 2003, 4(4): 501–511. https://doi.org/10.1080/1461670032000136596

40. Rafiee A., Spooren W., Sanders J. Culture and discourse structure: A comparative study of Dutch and Iranian news texts. Discourse & Communication, 2017, 12(1): 58–79. https://doi.org/10.1177/1750481317735626

41. Shishkova D. D. Lexical and syntactic peculiarities of an English newspaper article. Russian Linguistic Bulletin, 2015, (3): 37–39. https://doi.org/10.18454/RULB.3.02

42. Taher Y., Moussaoui A., Moussaoui F. Automatic fake news detection based on deep learning, fast text and news title. International Journal of Advanced Computer Science and Applications, 2022, 13(1): 146–158. https://dx.doi.org/10.14569/IJACSA.2022.0130118

43. Tomson E. A., White P. R. R., Kitley P. "Objectivity" and "hard news" reporting across cultures: comparing the news report in English, French, Japanese and Indonesian journalism. Journalism Studies, 2008, 9(2): 212–228. https://doi.org/10.1080/14616700701848261

44. Yergaliyeva S. Z., Anesova A. Z., Uaikhanova M. A., Melnik N. V., Yergaliyev K. S. Linguistic analysis of Kazakh and Russian online political commenting tactics. Media Watch, 2021, 12(2): 288–302. https://doi.org/10.15655/mw/2021/v12i2/160433

45. Yergaliyeva S. Z., Melnik N. V., Zhumabekova B. K., Yergaliyev K. S., Omarov N. V. Personal linguistic parametrization of text generation of the internet comments. XLinguae, 2018, 11(3): 2–15. https://doi.org/10.18355/XL.2018.11.03.01