The Author’s Methodology of Forecasting Election Results on the Basis of Big Data
https://doi.org/10.21686/2413-2829-2024-1-67-75
Abstract
Internet mass media provides their readers with an opportunity to express their opinions on topics (comments) being published. For this purpose each article inserted in the Internet is connected with certain means of communication. These comments are taken seriously by mass media as they contain valuable information that helps find out feelings of Internet users. Social networks generate a vast amount of unstructured data due to their use by thousands of users. Therefore, our research aims at substantiation and use of machine learning (artificial intellect) approach in order to analyze users’ feelings through comments on YouTube dealing with press-conferences given by nominated candidates. Obtained results show feasibility of the approach. The author proposes other ways of its modernization.
About the Author
A. S. Kozin
Financial University under the Government of the Russian Federation
Russian Federation
Russian Federation
Anton S. Kozin, Post-Graduate Student
Faculty of Social Sciences and Mass Communications
Department of Political Science
125167
49/2 Leningradskiy Avenue
Moscow
References
1. Okunev I. Yu., Gorelova Yu. S., Gruzdeva E. E. Regionalnye osobennosti elektoralnogo povedeniya v Polshe: opyt sravnitelnogo prostranstvennogo analiza [Regional Features of Election Behavior in Poland: Experience of Comparative Space Analysis]. Sravnitelnaya politika [Comparative Policy], 2021, No. 12 (1), pp. 149–160. (In Russ.).
2. Okunev I. Yu., Zhirnova L. S. Etnicheskiy raskol v elektoralnom povedenii Latvii [Ethnic Split in Election Behavior in Latvia]. Science and Analytical Journal ‘Observer’, 2019, No. 11, pp. 78–90. (In Russ.).
3. Oskolkov P. V. Partiynaya sistema Estonii na sovremennom etape: elektoralnaya turbulentnost i smena etnoregionalnykh patternov [Party System in Estonia on the Current Stage: Election Turbulence and Change in Ethno-Regional Patterns]. Baltiyskiy region [Baltic Region], 2020, Vol. 12, No. 1, pp. 4–15. (In Russ.).
4. Oskolkov P. V. Etnicheskie partii i etnicheskoe golosovanie: problemy kontseptualizatsii i faktory razvitiya [Ethnic Parties and Ethnic Voting: Problems of Conceptualization and Factors of Development]. Mirovaya ekonomika i mezhdunarodnye otnosheniya [Global Economics and International Relations], 2020, Vol. 64, No. 8, pp. 112–118. (In Russ.).
5. Panov P. V. Etnicheskie i regionalnye partii v stranakh Tsentralnoy i Vostochnoy Evropy: spetsifika i traektorii razvitiya [Ethnic and Regional Parties in Countries of Central and Eastern Europe: Specific Features and Trajectories of Development]. Vestnik Permskogo universiteta. Politologiya [Bulletin of the Perm University. Politology], 2020, Vol. 14, No. 3, pp. 20–34. (In Russ.).
6. Sirotkina E. V., Karandashova S. A. Loyalnost elit i vybory glav regionov: rol predvybornykh konfliktov v iskhode golosovaniya [Elite Loyalty and Electing Regional Heads: the Role of Pre-Election Conflicts in Vote Results]. Polis. Politicheskie issledovaniya [Polis. Political Research], 2017, No. 6, pp. 76–91. (In Russ.).
7. Solopenko A. V. Sravnenie elektoralnogo povedeniya russkoyazychnykh grazhdan Latvii i Estonii na parlamentskikh vyborakh v 2011–2015 godakh [Comparing Election Behavior of Russian-Speaking Citizens of Latvia and Estonia during Parliamentary Elections in 2011–2015]. Baltic Research in Russia: materials of the In ternational Conference, edited by P. Klemeshev, N. M. Mezhevich, G. M. Fedorov. Kaliningradm, Baltiyskiy federalnyy universitet imeni Immanuila Kanta, 2016, pp. 163–167. (In Russ.).
8. Tarasov I. N. Instrumenty etnicheskoy politiki v Latvii [Tools of Ethnic Policy in Latvia]. South-Russian Journal of Social Science, 2019, Vol. 20, No. 2, pp. 34–44. (In Russ.).
9. Tarasov I. N. Vybory v Polshe i Litve v 2020 godu [Elections in Poland and Latvia in 2020]. Challenges and Prospects of the Kaliningrad Area Development: Geo-Politics and Geo-Economics], edited by G. M. Fedorov. Kaliningrad, the Baltic Federal I. Kant University, 2021, pp. 68–70. (In Russ.).
10. Tarasov I. N., Fidrya E. S. Geografiya elektoralnoy volatilnosti v Varminsko-Mazurskom voevodstve Polshi [Geography of Election Volatility in Varminsko-Mazurskiy Province in Poland]. Baltiyskiy region [Baltic Region], 2016, No. 8 (4), pp. 78–89. (In Russ.).
11. Urazbaev E. E., Yamalova E. N. Etnopoliticheskoe dvizhenie kak provodnik institutsionalizatsii natsionalizma v sovremennoy Latvii [Ethno-Political Movement as Guide of Nationalism Institutionalization in Today’s Latvia]. Baltiyskiy region [Baltic Region], 2020, Vol. 12, No. 2, pp. 54–69. (In Russ.).
Review
For citations:
Kozin A.S. The Author’s Methodology of Forecasting Election Results on the Basis of Big Data. Vestnik of the Plekhanov Russian University of Economics. 2024;(1):67-75. (In Russ.) https://doi.org/10.21686/2413-2829-2024-1-67-75
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