{"id":14744,"date":"2022-12-24T14:20:47","date_gmt":"2022-12-24T12:20:47","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=14744"},"modified":"2022-12-26T22:24:26","modified_gmt":"2022-12-26T20:24:26","slug":"metod-formuvannya-kontekstu-reklamy-ta-czilovoyi-audytoriyi-na-osnovi-navchannya-asocziatyvnyh-pravyl","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=14744","title":{"rendered":"\u041c\u0435\u0442\u043e\u0434 \u0444\u043e\u0440\u043c\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0443 \u0440\u0435\u043a\u043b\u0430\u043c\u0438 \u0442\u0430 \u0446\u0456\u043b\u044c\u043e\u0432\u043e\u0457 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0456\u0457 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f \u0430\u0441\u043e\u0446\u0456\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043f\u0440\u0430\u0432\u0438\u043b"},"content":{"rendered":"


\n\u041c\u0415\u0422\u041e\u0414 \u0424\u041e\u0420\u041c\u0423\u0412\u0410\u041d\u041d\u042f \u041a\u041e\u041d\u0422\u0415\u041a\u0421\u0422\u0423 \u0420\u0415\u041a\u041b\u0410\u041c\u0418 \u0422\u0410 \u0426\u0406\u041b\u042c\u041e\u0412\u041e\u0407 \u0410\u0423\u0414\u0418\u0422\u041e\u0420\u0406\u0407 \u041d\u0410 \u041e\u0421\u041d\u041e\u0412\u0406 \u041d\u0410\u0412\u0427\u0410\u041d\u041d\u042f \u0410\u0421\u041e\u0426\u0406\u0410\u0422\u0418\u0412\u041d\u0418\u0425 \u041f\u0420\u0410\u0412\u0418\u041b
\nMETHOD OF FORMING THE CONTEXT OF ADVERTISING AND TARGET AUDIENCE BASED ON ASSOCIATIVE RULES LEARNING<\/p>\n

\u00a0<\/strong>\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 279-287. \u041d\u043e\u043c\u0435\u0440: \u21165, 2022 (313)\u00a0 \u00a0<\/strong> \"\"<\/a>
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2022-313-5-279-287<\/a>
\n\u0410\u0432\u0442\u043e\u0440\u0438: <\/strong>
\n\u041b\u0406\u041f\u2019\u042f\u041d\u0406\u041d\u0410-\u0413\u041e\u041d\u0427\u0410\u0420\u0415\u041d\u041a\u041e \u0425\u0440\u0438\u0441\u0442\u0438\u043d\u0430
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nhttps:\/\/orcid.org\/0000-0002-2441-6292<\/a>
\ne-mail: xrustya.com@gmail.com<\/a>
\n\u041a\u041e\u041c\u0410\u0420 \u041c\u0438\u0440\u043e\u0441\u043b\u0430\u0432
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nhttps:\/\/orcid.org\/0000-0001-6541-0359<\/a>
\ne-mail: mko@wunu.edu.ua<\/a>
\n\u0421\u0410\u0427\u0415\u041d\u041a\u041e \u0410\u043d\u0430\u0442\u043e\u043b\u0456\u0439
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nhttps:\/\/orcid.org\/0000-0002-0907-3682<\/a>
\ne-mail: as@wunu.edu.ua<\/a>
\n\u041b\u0415\u041d\u0414\u042e\u041a \u0422\u0430\u0440\u0430\u0441
\n\u0417\u0430\u0445\u0456\u0434\u043d\u043e\u0443\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0438\u0439 \u043d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nhttps:\/\/orcid.org\/0000-0001-9484-8333<\/a>
\ne-mail: tl@wunu.edu.ua<\/a><\/p>\n

LIPIANINA-HONCHARENKO Khrystyna, KOMAR Myroslav,
\nSACHENKO Anatoliy, LENDIUK Taras
\nWest Ukrainian National University<\/p>\n

\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n

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\u043f\u043e\u0437\u0438\u0446\u0456\u0457 \u043f\u043e\u0442\u0443\u0436\u043d\u043e\u0457 \u043a\u043e\u043c\u0443\u043d\u0456\u043a\u0430\u0446\u0456\u0439\u043d\u043e\u0457 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457, \u044f\u043a\u0430 \u043f\u0440\u043e\u0434\u043e\u0432\u0436\u0443\u0454 \u0441\u0442\u0440\u0456\u043c\u043a\u043e \u0440\u043e\u0437\u0432\u0438\u0432\u0430\u0442\u0438\u0441\u044f \u0442\u0430 \u043d\u0430\u0431\u0438\u0440\u0430\u0442\u0438 \u0432\u043f\u043b\u0438\u0432\u043e\u0432\u043e\u0441\u0442\u0456. \u0424\u043e\u0440\u043c\u0443\u0432\u0430\u043d\u043d\u044f \u0432\u0435\u043b\u0438\u043a\u043e\u0457 \u043a\u0456\u043b\u044c\u043a\u043e\u0441\u0442\u0456 \u0440\u0435\u043a\u043b\u0430\u043c\u043d\u0438\u0445 \u043e\u0433\u043e\u043b\u043e\u0448\u0435\u043d\u044c, \u043e\u0441\u043e\u0431\u043b\u0438\u0432\u043e \u0442\u0435\u043a\u0441\u0442\u0456\u0432, \u043e\u0431\u0445\u043e\u0434\u0438\u0442\u044c\u0441\u044f \u043d\u0430\u0434\u0437\u0432\u0438\u0447\u0430\u0439\u043d\u043e \u0434\u043e\u0440\u043e\u0433\u043e. \u0422\u043e\u043c\u0443 \u0432\u0430\u0440\u0442\u043e \u043f\u0440\u043e\u0434\u0443\u043c\u0430\u0442\u0438, \u044f\u043a \u043c\u043e\u0436\u043d\u0430 \u0433\u0435\u043d\u0435\u0440\u0443\u0432\u0430\u0442\u0438 \u0446\u0456 \u0442\u0435\u043a\u0441\u0442\u0438 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u043d\u043e. \u0423 \u0437\u0432\u2019\u044f\u0437\u043a\u0443 \u0437 \u0446\u0438\u043c \u043c\u043e\u0436\u043d\u0430 \u0432\u0432\u0430\u0436\u0430\u0442\u0438, \u0449\u043e \u0440\u043e\u0437\u0440\u043e\u0431\u043a\u0430 \u043c\u0435\u0442\u043e\u0434\u0443 \u0444\u043e\u0440\u043c\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0443 \u0440\u0435\u043a\u043b\u0430\u043c\u0438 \u0442\u0430 \u0446\u0456\u043b\u044c\u043e\u0432\u043e\u0457 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0456\u0457 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f \u0430\u0441\u043e\u0446\u0456\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043f\u0440\u0430\u0432\u0438\u043b \u0454 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u044e \u0442\u0430 \u0434\u0430\u0454 \u043c\u043e\u0436\u043b\u0438\u0432\u0456\u0441\u0442\u044c \u043f\u0456\u0434\u0432\u0438\u0449\u0438\u0442\u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438\u0432\u043d\u0456\u0441\u0442\u044c \u0440\u0435\u043a\u043b\u0430\u043c\u043d\u0438\u0445 \u043e\u0433\u043e\u043b\u043e\u0448\u0435\u043d\u044c, \u0430 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e \u0456 \u0437\u043c\u0435\u043d\u0448\u0435\u043d\u043d\u044f \u0437\u0430\u0442\u0440\u0430\u0442 \u043d\u0430 \u0456\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u0440\u0435\u043a\u043b\u0430\u043c\u0443 \u0437\u0430\u043a\u043b\u0430\u0434\u0456\u0432 \u0432\u0438\u0449\u043e\u0457 \u043e\u0441\u0432\u0456\u0442\u0438. \u0423 \u044f\u043a\u043e\u0441\u0442\u0456 \u0432\u0445\u0456\u0434\u043d\u0438\u0445 \u0434\u0430\u043d\u0438\u0445 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043e \u043e\u043f\u0438\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0456\u0432 \u0441\u043f\u0435\u0446\u0456\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u0456 \u00ab\u041a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u0456 \u043d\u0430\u0443\u043a\u0438\u00bb, \u0441\u0442\u043e\u0441\u043e\u0432\u043d\u043e \u0432\u0441\u0442\u0443\u043f\u0443. \u0412 \u043e\u043f\u0438\u0442\u0443\u0432\u0430\u043d\u043d\u0456 \u043f\u0440\u0438\u0439\u043d\u044f\u043b\u0438 \u0443\u0447\u0430\u0441\u0442\u044c 152 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u0456\u0432, \u0434\u0430\u043b\u0438 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u044c \u043d\u0430 10 \u043f\u0438\u0442\u0430\u043d\u044c. \u0417 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0456\u0432, \u043c\u0435\u0442\u043e\u0434\u0443 \u0444\u043e\u0440\u043c\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0443 \u0440\u0435\u043a\u043b\u0430\u043c\u0438 \u0442\u0430 \u0446\u0456\u043b\u044c\u043e\u0432\u043e\u0457 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0456\u0457 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f \u0430\u0441\u043e\u0446\u0456\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043f\u0440\u0430\u0432\u0438\u043b, \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438\u0432\u043d\u0456\u0441\u0442\u044c \u043e\u0433\u043e\u043b\u043e\u0448\u0435\u043d\u043d\u044f \u0432 \u0441\u043e\u0446\u0456\u0430\u043b\u044c\u043d\u0438\u0445 \u043c\u0435\u0440\u0435\u0436\u0430\u0445, \u0437\u0431\u0456\u043b\u044c\u0448\u0438\u043b\u0430\u0441\u044c \u0449\u043e \u043d\u0430\u0439\u043c\u0435\u043d\u0448\u0435 \u043d\u0430 23%, \u0430 \u0446\u0456\u043d\u0430 \u0437\u043c\u0435\u043d\u0448\u0438\u043b\u0430\u0441\u044c \u043d\u0430 90%.
\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0430\u043d\u0430\u043b\u0456\u0437 \u0434\u0430\u043d\u0438\u0445, \u0440\u0435\u043a\u043b\u0430\u043c\u043d\u0438\u0439 \u0432\u043c\u0456\u0441\u0442, \u0432\u0438\u0432\u0447\u0435\u043d\u043d\u044f \u0430\u0441\u043e\u0446\u0456\u0430\u0442\u0438\u0432\u043d\u0438\u0445 \u043f\u0440\u0430\u0432\u0438\u043b,, \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c \u0430\u043f\u0440\u0456\u043e\u0440\u0456, \u0424\u0435\u0439\u0441\u0431\u0443\u043a.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u00a0\u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

Nowadays, important mechanisms of study are content and techniques of its creation, the problem of influencing the target audience, which itself seeks to shape communication processes. Internet content occupies a position of powerful communication technology, which continues to grow rapidly and gain influence. Creating a large number of advertisements, especially texts, is extremely expensive. Therefore, it is worth considering how generate these texts automatically. In this regard, it is possible to assume that the development of a method of forming the context of advertising and target audience based on learning associative rules is relevant and can increase the effectiveness of advertising, and thus reduce the cost of online advertising of higher education institutions. The input data used a survey of students majoring in Computer Science, regarding admission. The 152 students took part in the survey and answered 10 questions. The experimental results confirmed, the proposed method enabled to increase the effectiveness of advertising on social networks at least in 23%, and reduce the price in 90%.
\nKeywords:<\/strong> data analysis, advertising content, associative rules learning, apriori algorithm, Facebook<\/p>\n

\u041b\u0456\u0442\u0435\u0440\u0430\u0442\u0443\u0440\u0430<\/strong><\/p>\n

    \n
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  10. AlZu’bi S. A novel recommender system based on apriori algorithm for requirements engineering \/ S. AlZu’bi, B. Hawashin, M. EIBes and M. Al-Ayyoub \/\/ Proceedings of the 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2018. \u2013 P. 323-327. https:\/\/doi.org\/10.1109\/SNAMS.2018.8554909.<\/li>\n
  11. Aguilar J. An adaptive intelligent management system of advertising for social networks: A case study of Facebook \/ J. Aguilar, G. Garcia \/\/ IEEE Transactions on Computational Social Systems. \u2013 2018. \u2013 Vol. 5. \u2013 P. 20-32. https:\/\/doi.org\/10.1109\/TCSS.2017.2759188.<\/li>\n
  12. Arasu B. S. A machine learning-based approach to enhancing social media marketing \/ B. S. Arasu, B. J. B. Seelan, N. Thamaraiselvan \/\/ Computers & Electrical Engineering. \u2013 2020. \u2013 Vol. 86. \u2013 Article no. 106723. https:\/\/doi.org\/10.1016\/j.compeleceng.2020.106723.<\/li>\n
  13. Popov A. Adaptive look-alike targeting in social networks advertising \/ A. Popov, D. Iakovleva \/\/ Procedia Computer Science. \u2013 2018. \u2013 Vol. 136. \u2013 P. 255-264. https:\/\/doi.org\/10.1016\/j.procs.2018.08.264.<\/li>\n
  14. Shah N. Research trends on the usage of machine learning and artificial intelligence in advertising \/ N. Shah, S. Engineer, N. Bhagat,\u00a0et al. \/\/ Augment Hum Res. \u2013 2020. \u2013 Vol. 5. \u2013 Article no. 19. https:\/\/doi.org\/10.1007\/s41133-020-00038-8.<\/li>\n
  15. Liu Z. Development of advertising art design based on information technology \/ Z. Liu \/\/ in: J. Jansen B., Liang H., Ye J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021), volume 85 of Lecture Notes on Data Engineering and Communications Technologies, Springer, Singapore, 2021. \u2013 P. 3-10. https:\/\/doi.org\/10.1007\/978-981-16-5854-9_1.<\/li>\n
  16. Barabash O. Information technology of targeting: optimization of decision making process in a competitive environment \/ O. Barabash, G. Shevchenko, N. Dakhno, O. Neshcheret, A. Musienko \/\/ International Journal of Intelligent Systems and Applications. \u2013 2017. \u2013 Vol. 9. \u2013 P. 1-9. https:\/\/doi.org\/10.5815\/ijisa.2017.12.01.<\/li>\n
  17. Saito R. Analysis of fashion market trend using advertising data of shopping information site \/ R. Saito, K. Otake, T. Namatame \/\/ in: Meiselwitz G. (eds) Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. HCII 2020, volume 12195 of Lecture Notes in Computer Science, Springer, Cham, 2020. \u2013 P. 389-400. https:\/\/doi.org\/10.1007\/978-3-030-49576-3_28.<\/li>\n
  18. Wakimoto K. Keyword-based text generation for internet advertisement \/ K. Wakimoto, S. Kawamoto, P. Zhang \/\/ Proceedings of the 34th Annual Conference of the Japanese Society for Artificial Intelligence, 2020. \u2013 P. 1-4.<\/li>\n
  19. Lee D. Advertising content and consumer engagement on social media: Evidence from Facebook \/ D. Lee, K. Hosanagar, H. S. Nair \/\/ Management Science. \u2013 2018. \u2013 Vol. 64. \u2013 P. 5105-5131. https:\/\/doi.org\/10.1287\/mnsc.2017.2902.<\/li>\n
  20. Jamison A. M. Vaccine-related advertising in the Facebook Ad Archive \/ A. M. Jamison, D. A. Broniatowski, M. Dredze, Z. Wood-Doughty, D. A. Khan, S. C. Quinn \/\/ Vaccine. \u2013 2019. \u2013 Vol. 38. \u2013 P. 512-520. https:\/\/doi.org\/10.1016\/j.vaccine.2019.10.066<\/a>.<\/li>\n
  21. Youn S. Understanding ad avoidance on Facebook: Antecedents and outcomes of psychological reactance \/ S. Youn, S. Kim \/\/ Computers in Human Behavior. \u2013 2019. \u2013 Vol. 98. \u2013 P. 232-244. https:\/\/doi.org\/10.1016\/j.chb.2019.04.025.<\/li>\n
  22. White C. L. Social media ethics in the data economy: Issues of social responsibility for using Facebook for public relations \/ C. L. White, B. Boatwright \/\/ Public Relations Review. \u2013 2020. \u2013 Vol. 46. \u2013 Article no. 101980. https:\/\/doi.org\/10.1016\/j.pubrev.2020.101980.<\/li>\n
  23. Gitomer A. Geographic impressions in Facebook political ads \/ A. Gitomer, P. V. Oleinikov, L. M. Baum, et al., \/\/ Appl Netw Sci. \u2013 2021. \u2013 Vol. 6. \u2013 Article no. 18. https:\/\/doi.org\/10.1007\/s41109-020-00350-7.<\/li>\n<\/ol>\n

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    9. Wang F. Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns \/ F. Wang. K. Li. N. Dui\u0107. Z. Mi. B.-M. Hodge. M. Shafie-khah. J. P. S. Catal\u00e3o \/\/ Energy Conversion and Management. \u2013 2018. \u2013 Vol. 171. \u2013 P. 839\u2013854. https:\/\/doi.org\/10.1016\/j.enconman.2018.06.017.<\/li>\n
    10. AlZu’bi S. A novel recommender system based on apriori algorithm for requirements engineering \/ S. AlZu’bi, B. Hawashin, M. EIBes and M. Al-Ayyoub \/\/ Proceedings of the 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2018. \u2013 P. 323-327. https:\/\/doi.org\/10.1109\/SNAMS.2018.8554909.<\/li>\n
    11. Aguilar J. An adaptive intelligent management system of advertising for social networks: A case study of Facebook \/ J. Aguilar, G. Garcia \/\/ IEEE Transactions on Computational Social Systems. \u2013 2018. \u2013 Vol. 5. \u2013 P. 20-32. https:\/\/doi.org\/10.1109\/TCSS.2017.2759188.<\/li>\n
    12. Arasu B. S. A machine learning-based approach to enhancing social media marketing \/ B. S. Arasu, B. J. B. Seelan, N. Thamaraiselvan \/\/ Computers & Electrical Engineering. \u2013 2020. \u2013 Vol. 86. \u2013 Article no. 106723. https:\/\/doi.org\/10.1016\/j.compeleceng.2020.106723.<\/li>\n
    13. Popov A. Adaptive look-alike targeting in social networks advertising \/ A. Popov, D. Iakovleva \/\/ Procedia Computer Science. \u2013 2018. \u2013 Vol. 136. \u2013 P. 255-264. https:\/\/doi.org\/10.1016\/j.procs.2018.08.264.<\/li>\n
    14. Shah N. Research trends on the usage of machine learning and artificial intelligence in advertising \/ N. Shah, S. Engineer, N. Bhagat,\u00a0et al. \/\/ Augment Hum Res. \u2013 2020. \u2013 Vol. 5. \u2013 Article no. 19. https:\/\/doi.org\/10.1007\/s41133-020-00038-8.<\/li>\n
    15. Liu Z. Development of advertising art design based on information technology \/ Z. Liu \/\/ in: J. Jansen B., Liang H., Ye J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021), volume 85 of Lecture Notes on Data Engineering and Communications Technologies, Springer, Singapore, 2021. \u2013 P. 3-10. https:\/\/doi.org\/10.1007\/978-981-16-5854-9_1.<\/li>\n
    16. Barabash O. Information technology of targeting: optimization of decision making process in a competitive environment \/ O. Barabash, G. Shevchenko, N. Dakhno, O. Neshcheret, A. Musienko \/\/ International Journal of Intelligent Systems and Applications. \u2013 2017. \u2013 Vol. 9. \u2013 P. 1-9. https:\/\/doi.org\/10.5815\/ijisa.2017.12.01.<\/li>\n
    17. Saito R. Analysis of fashion market trend using advertising data of shopping information site \/ R. Saito, K. Otake, T. Namatame \/\/ in: Meiselwitz G. (eds) Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. HCII 2020, volume 12195 of Lecture Notes in Computer Science, Springer, Cham, 2020. \u2013 P. 389-400. https:\/\/doi.org\/10.1007\/978-3-030-49576-3_28.<\/li>\n
    18. Wakimoto K. Keyword-based text generation for internet advertisement \/ K. Wakimoto, S. Kawamoto, P. Zhang \/\/ Proceedings of the 34th Annual Conference of the Japanese Society for Artificial Intelligence, 2020. \u2013 P. 1-4.<\/li>\n
    19. Lee D. Advertising content and consumer engagement on social media: Evidence from Facebook \/ D. Lee, K. Hosanagar, H. S. Nair \/\/ Management Science. \u2013 2018. \u2013 Vol. 64. \u2013 P. 5105-5131. https:\/\/doi.org\/10.1287\/mnsc.2017.2902.<\/li>\n
    20. Jamison A. M. Vaccine-related advertising in the Facebook Ad Archive \/ A. M. Jamison, D. A. Broniatowski, M. Dredze, Z. Wood-Doughty, D. A. Khan, S. C. Quinn \/\/ Vaccine. \u2013 2019. \u2013 Vol. 38. \u2013 P. 512-520. https:\/\/doi.org\/10.1016\/j.vaccine.2019.10.066.<\/li>\n
    21. Youn S. Understanding ad avoidance on Facebook: Antecedents and outcomes of psychological reactance \/ S. Youn, S. Kim \/\/ Computers in Human Behavior. \u2013 2019. \u2013 Vol. 98. \u2013 P. 232-244. https:\/\/doi.org\/10.1016\/j.chb.2019.04.025.<\/li>\n
    22. White C. L. Social media ethics in the data economy: Issues of social responsibility for using Facebook for public relations \/ C. L. White, B. Boatwright \/\/ Public Relations Review. \u2013 2020. \u2013 Vol. 46. \u2013 Article no. 101980. https:\/\/doi.org\/10.1016\/j.pubrev.2020.101980.<\/li>\n
    23. Gitomer A. Geographic impressions in Facebook political ads \/ A. Gitomer, P. V. Oleinikov, L. M. Baum, et al., \/\/ Appl Netw Sci. \u2013 2021. \u2013 Vol. 6. \u2013 Article no. 18. https:\/\/doi.org\/10.1007\/s41109-020-00350-7.<\/li>\n<\/ol>\n

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