Invective lexis as a means of expressing verbal agression (based on english periodicals)
DOI:
https://doi.org/10.36097/rsan.v1i32.990Keywords:
invective lexicon, verbal aggression, invective, insult, conflict potential.Abstract
The present article reveals injective vocabulary as a means of expressing verbal aggression (on the material of the Independent, The Times, The Guardian periodicals, as well as in Internet comments on news and articles). The analysis of articles with injective vocabulary was carried out by the method of continuous sampling. The relevance of this article is due to the fact that in the sociolinguistic aspect verbal aggression is considered as a consequence of the unfavorable sociocultural position in society, growth of asociality, general decline in the level of speech culture, vulgarization of speech, propaganda of violence in the media, a significant weakening of communication and going online. The author reveals the essence of verbal aggression as a sociolinguistic phenomenon, cites the positions of the authors: A.D. Vasilyeva, T.A. Vorontsova, O.S. Korobkova, Z. D Popova, I. A Sternina, Ya. L. Fedorova, N. S. Yakimova, Barbieri F., Dong N., Cornips L., Inkpen D., Luzón, MJ, Ricoeur P., Saggion H., Shaffer K., Sumath C., Trieschnigg D., Volkova S., Yea Jang J. The author proposes a grouping of actual invective vocabulary: 1) Internet jargon; 2) vocabulary, indicating the inferiority of various kinds (verbalization of physical or spiritual impairment); 3) physiological deficiencies in the satisfaction of the natural needs of the person, as well as organs and parts of the body; 4) the opposition "yours is a stranger"; 5) offensive nominations for people based on race, nation (division into "white" and "black", true British and Europeans); 6) courses; 7) statements threatening life and health. The author provides examples of offensive language in the English media for each group. Special attention is paid to ethnopolitics. In the examples, the author focuses on evaluative interjections and particles, familiar references, colloquial expressions, colloquial vocabulary, reduced style vocabulary, and offensive nominations and exaggerations. The author comes to the conclusion that injective vocabulary, which has mobility and dynamism as a level of the language system, communicative and cognitive functions, represents, on the one hand, a verbal form of expressing the aggressive behavior of a person, on the other hand, a means of destructive influence on the interlocutor.
Downloads
References
Vorontsova, T. A. Trolling and flaming: verbal aggression in Internet communications // Bulletin of Udmurt University. Series: History and Philology. - 2016. - Vol. 26. Vol. 2. - pp. 109–116.
Korobkova, O. S. Markers of hate speech in the nominations of ethnicity: a sociolinguistic aspect // News of the RSPU. A.I. Herzen. - 2009. - № 111. - pp. 200–205.
Ricoeur, P. Conflict of interpretations / P. Ricoeur. - M .: Academic Project, 2008. - 704 p.
Sternin, I. A. Social factors and the development of modern Russian // Theoretical and applied linguistics. Issue 2. Language and social environment. Voronezh, 2000. P. 4–16. URL: http://philology.ru/linguistics2/sternin-00.htm (appeal date: 03/24/2019).
Barbieri, F., Saggion H. (2014). Modeling irony in Twitter: Feature analysis and evaluation. In Conference Conference, pages 4258–4264, Reykjavik.
Dahler-Larsen, P. (2014). Effects of getting beyond unintended consequences. Public Management Review, 16, pages 969–986.
Dong N., Trieschnigg D., Cornips L. (2015). Audience and the use of minority languages twitter. In Proceedings of ICWSM, pages 666–669.
Luzón, M.J. (2013). Recontextualizing scientific discourse for a diversified audience. Written Communication, 30 (4), pages 428–457.
Sumath, C., Inkpen D. (2015). How much does micropost data help in sentiment analysis? In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 115–121, Lisbon.
Volkova, S., Shaffer K., Yea Jang J. (2017). Separating facts from fi action: Linguistic models for classifying suspiciously and trusted posts on Twitter. Meeting of the Association for Computational Language, volume 2, pages 647–653.
Zare, Z. (2015). The benefits of e-business adoption: an empirical study of Iranian SMEs. UCT Journal of Management and Accounting Studies, 3(1), 6-11.
Mendes, I. A., & Silva, C. A. F. D. (2018). Problematization and Research as a Method of Teaching Mathematics. International Electronic Journal of Mathematics Education, 13(2), 41-55. https://doi.org/10.12973/iejme/2694
Samira Eissazadeh, M.P. and S.M. Mostafavi, Measurement of Some Amino Acid Using Biosensors Based on Silicon-Based Carbon Nanotubes. Journal of Computational and Theoretical Nanoscience, 2019. 16: p. 1.
Bakhshandeh, M., Sedrposhan, N., & Zarei, H. (2015). The Effectiveness of Cognitive-Behavioral Group Counseling to Reduce Anxiety, Marriage; Single People have to be Married in Esfahan City (2013-2014). UCT Journal of Social Sciences and Humanities Research, 3(1), 10-13.
Mendi, A., Köse, S., Uçkan, D., Akca, G., Yilmaz, D., Aral, L., ... &Uçkan, S. (2016). Lactobacillus rhamnosus could inhibit Porphyromonasgingivalis derived CXCL8 attenuation. Journal of Applied Oral Science, 24(1), 67-75.
