References |
1. Intergenerational transmission of communicative and cultural memory in the era of digitalization.
Yekaterinburg. Ed. Ural. un-ta: 2021. (In Rus.)
2. Lobodenko, L. K., Cherednyakova, A. B., Shesterkina, L. P., Kharitonova, O. Y. Analysis of the
representation of current political topics in digital posters and Internet memes: evaluation of media effects using
tracking technologies. Bulletin of SUSU. The series \"Social and Humanitarian Sciences\", no. 1, pp. 96–108,
2023. DOI: 10.14529/ssh230112. (In Rus.)
3. Mikhailova, T. L. Problematization of the theoretical foundations of communication studies. Proceedings
of the R. E. Alekseev, NSTU. The series \"Management in social systems. Communication technologies\". 2009:
26–38. (In Rus.)
4. Glushko, V. V., Mikhailova, T. L. Communication vs communicative. Materials of the VIII International
Student Scientific Conference \"Student Scientific Forum\" Web. 06.04.2023. https://scienceforum.ru/2016/
article/2016025905. (In Rus.)
5. Pobedinskaya, E. A. Communication and cultural environment as a factor of national security of modern
Russia. Cand. sci. diss. abstr. Stavropol, 2011. (In Rus.)
6. Leskovec, J., Backstrom, L., Kleinberg, J. Meme-Tracking and the Dynamics of the News Cycle. In
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD
‘09). 2009. Pp.497–506. DOI: 10.1145/1557019.1557077. (In Engl.)
7. Ienco D., Bonchi F., Castillo C. The Meme Ranking Problem: Maximizing Microblogging Virality. IEEE
International Conference on Data Mining Workshops, 2010. DOI: 10.1109/ICDMW.2010.127. (In Engl.)
8. Bauckhage, C. Insights into Internet Memes. Proceedings of the International AAAI Conference on Web
and Social Media, no. 5, pp. 42–49, 2021. DOI: 10.1609/icwsm.v5i1.14097. (In Engl.)
9. Valensise, C. M., Serra, A., Galeazzi, A. et al. Entropy and complexity unveil the landscape of memes
evolution. Sci Rep 11, 2022 (2021). DOI: 10.1038/s41598-021-99468-6. (In Engl.)
10. Zinovieva N. A. The impact of memes on Internet users: typology of Internet memes. VEPS, no. 1, 2015.
Web. 06.04.2023. https://cyberleninka.ru/article/n/vozdeystvie-memov-na-internet-polzovateley-tipologiyainternet-
memov. (In Rus.)
11. Oleshkova, A. M. Internet meme as a phenomenon of visual culture. Context and reflection: philosophy
about the world and man, no. 2A, pp. 232–240, 2022. DOI: 10.34670/AR.2022.63.27.017. (In Rus.)
12. Pertseva, U. S. Destructive cult in the modern media space. Izvestiya Tula State University, no. 4,
pp. 157–166, 2019. (In Rus.)
13. Volodenkov, S. V. Mediatization and virtualization of the modern space of public policy. Communicology –
Communicology, no. 4, pp. 125–136, 2016. (In Rus.)
14. Weng, L., Flammini A., Vespignani, A., Menczer F. Competition among memes in a world with limited
attention. Scientific reports, no. 2, pp. 335, 2012. DOI: 10.1038/srep00335. (In Engl.)
15. Dubey A. et al. Memesequencer: Sparse matching for embedding image macros. Proceedings of the
2018 world wide web conference. 2018: 1225–1235. (In Engl.)
16. Sharma, S., Suresh, T., Kulkarn,i A., Himanshi, M., Nakov, P., Md Shad A., Chakraborty, T. Findings of
the constraint 2022 shared task on detecting the hero, the villain, and the victim in memes. Proceedings of the
Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situations: 1–11. (In
Engl.)
17. Kumar, A., Garg, G. Sarc-M: Sarcasm detection in typo-graphic memes. Proceedings of the International
Conference on Advances in Engineering Science Management & Technology, ICAESMT ’19. Dehradun, India.
2019. (In Engl.)
18. Zhou Z., Zhao H., JingjingD., Jun G., Liu X. DD–TIG at Constraint@ACL2022: Multimodal understanding
and reasoning for role labeling of entities in hateful memes. Proceedings of the Workshop on Combating Online
Hostile Posts in Regional Languages during Emergency Situations, CONSTRAINT ’22, Dublin, Ireland. 2022.
(In Engl.)
19. Zidani S., Moran R. Memes and the spread of misinformation: Establishing the importance of media
literacy in the era of information disorder. Teaching Media Quarterly, no. 9, 2021. Web. 04.06.2023. https://www.
readkong.com/page/memes-and-the-spread-of-misinformation-establishing-the-9887817. (In Engl.)
20. Suryawanshi, S., Chakravarthi, B. R., Arcan, M., Buitelaar, P. Multimodal meme dataset (MultiOFF) for
identifying offensive content in image and text. Proceedings of the Second Workshop on Trolling, Aggression and
Cyber- bullying. 2021: 32–41.
21. Pramanick, S., Dimitrov, D., Mukherjee, R., Sharma, S., Md. Akhtar, S., Nakov, P., Chakraborty, T. 2021a.
Detecting harmful memes and their targets. In Findings of ACL, ACL–IJCNLP ’21. 2021: 2783–2796. (In Engl.)
22. Shomova, S. A. \"War of memes\": new turns of information confrontation. Monitoring, no. 5, 2019. Web.
06.04.2023. https://cyberleninka.ru/article/n/voyna-memov-novye-povoroty-informatsionnogo-protivostoyaniya.
(In Rus.)
23. Kanashina, S. V. What is an Internet meme? Questions of journalism, pedagogy and Linguistics, no. 3,
pp. 1–7, 2017. (In Rus.)
24. Kulkarni, A., Suresh, T., Mathur, H., Nakov, P., Akhtar, M., Chakraborty, T. Characterizing the Entities
in Harmful Memes: Who is the Hero, the Villain, the Victim? 2023. DOI: 10.48550/arXiv.2301.11219. (In Engl.)
25. Shchurina, Yu. V., Kharokhorina, M. B. Internet meme as a genre and \"news-maker\" in the modern
media space. Media Linguistics, no. 2, pp. 263–275, 2020. (In Rus.)
26. Repina, L. P. Cultural memory and problems of historiography: (historical notes). M: Higher School of
Economics, 2003. (In Rus.)
27. Baurecht, M. The Categorisation of Internet Memes a Different Approach. Colloquium: New Philologies,
no. 5, pp. 135–152, 2020. DOI: 10.23963/cnp. (In Engl.)
28. Assman, Ya. Cultural memory. Writing, memory of the past and political identity in the high cultures of
antiquity. M: Languages of Slavic culture, 2004. (In Rus.) |