Features of Modern Multilingual Memetics

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Abstract

In the course of the study, three databases were formed based on the Russian-language, German-language and American-English-language segments of the Internet, common among young users, and the term “memetics” was introduced, which includes various thematic structural-systemic and semantic features of the phenomenon of “meme” and “meme-communication”. National memetics has its own features regarding the process of thematic selection, means of code and/or polycode methods of information transmission. The main research method is the hermeneutic approach. The concept of “toxicity” makes it possible to identify various ways, in which Internet users can be negatively affected.

About the authors

Rodmonga Kondratyevna Potapova

Moscow State Linguistic University

Author for correspondence.
Email: RKpotapova@yandex.ru

Doctor of Philolody (Dr. habil.), Professor, Full Member of the International Informatization Academy, Head of Department of Applied and Experimental Linguistics, Director of Institute of Applied and Mathematical Linguistics

Russian Federation

Vsevolod Viktorovich Potapov

Lomonosov Moscow State University

Email: Volikpotapov@gmail.com

Doctor of Philolody (Dr. habil.), Senior Researcher of the Centre of New Technologies for Humanities, Philological Faculty

Russian Federation

References

  1. Krongauz, M. A. (ed.). (2016). Slovar’ jazyka interneta. ru = Internet Language Dictionary. ru. Moscow: AST-Press. (In Russ.)
  2. Vynalek, E. A. (2014). O prirode internet-mema = On the nature of the Internet meme. In Ja. E. Ahapkina, Е. V. Rahilina (eds.), Sovremennyj russkij jazyk v internete (pp. 51–60). Мoscow: Languages of Slavic cultures. (In Russ.)
  3. Potapova, R. K., Potapov, V. V. (2022). Internet-memetika kak emociogennaja sreda setevoj kommunikacii = Internet Memetics as an Emotiogenic Environment of the Network Communication. Izvestija Rossijskoj akademii nauk. Serija literatury i jazyka, 81(2), 78–91. 10.31857/S160578800019458-9 (In Russ.)
  4. Tereshchenko, О. V. (2017). Viral’nost’. Novyje media: social’naja teotija i metodologija issledovanij = Virality. New Media: Social Theory and Methodology of Research: Dictionary, ed. by О. V. Sergeeva, О. V. Тereshchenko. St.Petersburg: Aleteja. (In Russ.)
  5. Blackmore, S. (2000). The meme machine. Oxford: Oxford University Press.
  6. Dawkins, R. (1976). The selfish gene. New York: Oxford University Press.
  7. Rushkoff, D. (1994). Media Virus! Hidden Agendas in Popular Culture. New York: Ballantine Books.
  8. Кrongauz, М. А. (2014). Мем v russkojazychnom Internete: оpyt dekonstrukcii = Mem in Russian-language Internet: experience of deconstruction. In М. V. Аhmetova, V. I. Belikov (eds.), Russkij jazyk i novyje tehnologii (pp. 87–95). Мoscow. (In Russ.)
  9. Dolgushin, M., Ismakova, D., Bidulya, Yu., Krupkin, I., Barskaya, G., Lesiv, A. (2021). Toxic comment classification service in social network. Lecture Notes in Computer Science, 12997, 157–165. https://doi.org/10.1007/978-3-030-87802-3_15
  10. Gordeev, D., Potapov, V. (2020). Toxicity in texts and images on the Internet. Lecture Notes in Computer Science, 12335, 156–165. https://doi.org/10.1007/978-3-030-60276-5_16
  11. Makhnytkina, O., Matveev, A., Bogoradnikova, D., Lizunova, D., Maltseva, A., Shilkina, N. (2020). Detection of toxic language in short text messages. Lecture Notes in Computer Science, 12335, 315–325.10.1007/978-3-030-60276-5_31
  12. Risch, J., Krestel, R. (2020). Toxic comment detection in online discussions. Deep Learning-Based Approaches for Sentiment Analysis (pp. 85–109). Springer.
  13. Zimmermann, J. (2015). Hermeneutics: a very short introduction. Oxford University Press.
  14. Appel, M. (Hrsg.). (2020). Die Psychologie des Postfaktischen: Über Fake News, «Lügenpresse», Clickbait und Co. Berlin: Springer.
  15. Potapova R., Potapov V., Gorbunov P. (2022). The modern problem of accessibility and complexity of Big Data. Lecture Notes in Networks and Systems, 461.
  16. Potapova, R. K., Potapov, V. V. (2006). Jazyk, rech’, lichnost’ = Language, Speech, Personality. Moscow: Languages of Slavic cultures. (In Russ.)
  17. Stein, J.-P., Sehic, S., Appel, V. (2020). Machtvolle Bilder und Bildmanipulationen. Appel M. (Hrsg.) Die Psychologie des Postfaktischen: Über Fake News, «Lügenpresse», Clickbait und Co (S. 177–187). Berlin: Springer.
  18. Leongard, K. (1997). Akcentuirovannyje lichnosti = Accentuated personalities. Rostov-on-Don: Feniks Publication. (In Russ.)

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