Internet communications of Russian political parties in the current election cycle: results of oculometric analysis of the network content
https://doi.org/10.31249/poln/2021.03.05
Abstract
The article presents the results of a study of Internet communications of Russian political parties at the start of a new electoral cycle in 2021. The research is interdisciplinary in nature and based on the following methodological approaches: post-behaviorism, implicit cognitive science, Predictor Mining. The empirical strategy includes a combination of methods: SMA, eye tracking and focus group interviews. During the implementation of the oculometric analysis, a protocol developed for evaluating the productivity of a combination of psychosemantic procedures and computer registration of a person's gaze during the 2018 election campaigns was selected to build a battery of visual stimuli. As a result of the study, the following features of respondents' perception of the Internet content of political parties are recorded: the main line of spectral opposition in the views of the Russian electorate is associated with the antagonism of such political parties as “United Russia” and “Yabloko”; to a greater extent, at the time of the study, the electorate of “new parties” that achieved success in the regional elections in 2020 is mobilized; the reliance of “new” political parties on public opinion leaders becomes one of the basic tools for implementing their electoral tasks, etc. The proposed in the study methodology for attestation of Internet content can be in demand by political parties to improve the content and psychotechnological characteristics of their information flows in social media. The use of the developed methodology for applying oculometric analysis for the certification of Internet content will allow party actors to improve the targeting technology in cooperation with the electorate.
Keywords
About the Authors
E. V. BrodovskayaRussian Federation
Moscow
D. A. Ezhov
Russian Federation
Moscow
A. S. Ognev
Russian Federation
Moscow
References
1. Almaev N.A., Bessonova Yu.V., Murasheva O.V. Text. Sight. Motivation: methodological issues. Moscow: Institute of Psychology of the Russian Academy of Sciences, 2020, 310 p. (In Russ.). EDN: GQQWGH
2. Avdeeva I.N., Bukach B.A., Likhacheva E.V., Nikolaeva L.P., Ognev A.S. Possibilities of using occolometric technologies for socio-political and demographic research. Human capital. 2020, Vol. 143, N 11, P. 193-201. (In Russ.). EDN: GVQNOJ
3. Azarov A.A., Brodovskaya E.V., Bubnov A.Y., Glazkov A.A., Gibadulin R.Y., Dmitrieva O.V., Dolgorukov A.M., Zhdanov R.I., Musina V.F., Nechaev V.D., Ognev A.S., Sirotkin A.V., Suvorova A.V., Titov V.V., Tulupyev A.L., Tulupyeva T.V., Filchenkov A.A., Yusupov R.M. Predictor Mining: Data Mining application to social computing. SPIIRAS Proceedings, 2013, N 3 (26), P. 136-161. EDN: QIXKLB
4. Balashov A.N. Internet technologies as a factor of increasing the efficiency of political parties. Public administration. E-Journal. 2015 a, N 49, P. 121-137. (In Russ.). EDN: TTGYKL
5. Balashov A.N. Network political parties: features and prospects in the Russian political process. Central Russian bulletin of social sciences. 2015 b, N 1, P. 47-55. (In Russ.). EDN: TKAHDP
6. Brodovskaya E.V. Digital management in the activities of Russian Political parties: the problem field of managing information flows in social media. Vlast'. 2020, Vol. 28, N 6, P. 81-88. 10.31171/vlast.v28i6.7727 (In Russ.). DOI: 10.31171/vlast.v28i6.7727(InRuss.) EDN: XVFRBA
7. Brodovskaya E.V., Dombrovskaya A.Yu., Likhacheva E.V., Nikolaeva L.P., Ognev A.S., Pyrma R.V. Specific use of ID Trackers in combination with a focused interview in certification of network content. Human capital. 2021, Vol. 145, N 1, P. 73-82. 10.25629/HC.2021.01.07 (In Russ.). DOI: 10.25629/HC.2021.01.07(InRuss.) EDN: EGHGUZ
8. Chizhov D.V. Internet-communications of political parties: typological features and tools. Information society. 2015, N 4, P. 46-61. (In Russ.). EDN: UMSJFP
9. Chizhov D.V. Internet-communications of political parties: typological features and tools. Citizen. Elections. Authority. 2016, N 2-3, P. 159-175. (In Russ.).
10. Chadwick A. The hybrid media system: politics and power. New York, NY: Oxford university press, 2017, 347 p.
11. Enli G.S., Skogerbø E. Personalized campaigns in party-centred politics. Information, communication & society. 2013, Vol. 16, N 5, P. 757-774. DOI: 10.1080/1369118x.2013.782330
12. Fedorchenko S.N. Political identities in social networks of the internet. Bulletin of the Perm University. Political science. 2017, N 2, P. 29-46. 10.17072/2218-1067-2017-2-29-46 (In Russ.). DOI: 10.17072/2218-1067-2017-2-29-46(InRuss.) EDN: YTOHXH
13. Fogg B.J. A behavior model for persuasive design. In: Proceedings of the 4 th International Conference on Persuasive Technology. New York: Association for Computing Machinery, 2009, P. 1-7. DOI: 10.1145/1541948.1541999
14. Geise S., Heck A., Panke D. The effects of digital media images on political participation online: results of an eye-tracking experiment integrating individual perceptions of "photo news factors". Policy and internet. 2021, Vol. 13, N 1, P. 54-85. DOI: 10.1002/poi3.235
15. Greenwald A.G., McGhee D.E., Schwartz J.L.K. Measuring individual differences in implicit cognition: the implicit association test. Journal of personality and social psychology. 1998, Vol. 74, N 6, P. 1464-1480. DOI: 10.1037/0022-3514.74.6.1464 EDN: GXURCB
16. Ignatovskii Ya.R., Ivanov V.G. Eye tracking: potential applications for public management, political branding and election campaigns. RUDN journal of public administration. 2020, Vol. 7, N 2, P. 155-160. 10.22363/2312-8313-2020-7-2-155-160 (In Russ.). DOI: 10.22363/2312-8313-2020-7-2-155-160(InRuss.) EDN: GZUDFU
17. Janssen D., Kies R. Online forums and deliberative democracy. Acta politica. 2005, N 40, P. 317-335. DOI: 10.1057/palgrave.ap.5500115
18. Johnson D.W. Campaigning in the twenty-first century. New York, NY: Routledge, 2011, 152 p.
19. Karlsen R. Still broadcasting the campaign: on the internet and the fragmentation of political communication with evidence from Norwegian electoral politics. Journal of information technology & politics. 2011, Vol. 8, N 2, P. 146-162. DOI: 10.1080/19331681.2011.536419
20. Karpinski A., Hilton J.L. Attitudes and the implicit association test. Journal of personality and social psychology. 2001, Vol. 81, N 5, P. 774-788. DOI: 10.1037/0022-3514.81.5.774 EDN: GXTXUD
21. Likhacheva E.V., Nikolaeva L.P., Ognev A.S., Galoi N.Yu. Oculographic indicators of the prevalence of positive or negative emotional states. Human capital. 2020, Vol. 141, N 9, P. 188-199. DOI: 10.25629/HC.2020.09.17 EDN: KVKPSV
22. Mascheroni G., Mattoni A. Electoral Campaigning 2.0 The case of Italian regional elections. Journal of information technology & politics. 2013, N 10, P. 223-240. DOI: 10.1080/19331681.2012.758073
23. Merton R., Fiske M., Kendall P. The focused interview. Moscow: WCIOM, 2019, 194 p. (In Russ.).
24. Nikolaeva L.P., Likhacheva E.V., Ognev A.S. Non-extraordinary oculographic predictors of individual features of the subject. Vestnik of Russian New University. Series "Human in the modern world". 2020, N 3, P. 3-12. 10.25586/RNU.V925X.20.03.P.003 (In Russ.). DOI: 10.25586/RNU.V925X.20.03.P.003(InRuss.) EDN: QFWXLQ
25. Nikolaeva L.P., Ognev A.S., Likhacheva E.V., Galoi N. Yu., Rozenova M.I., Fan Tszyuan'. Application of oculometry to determine interactive personality attitudes. Psychology. Historical-critical Reviews and Current Researches. 2020, Vol. 9, N 2-1, P. 61-71. (In Russ.). EDN: XLSBNO
26. Nosek B.A. Smyth F.L., Hansen J.J., Devos T., Lindner N.M., Ranganath K.A., Smith C.T., Olson K.R., Chugh D., Greenwald A.G., Banaji M.R. Pervasiveness and correlates of implicit attitudes and stereotypes. European review of social psychology. 2007, Vol. 18, N 1, P. 36-88. DOI: 10.1080/10463280701489053
27. Nosek B.A., Riskind R.G. Policy implications of implicit social cognition. Social issues and policy review. 2012, Vol. 6, N 1, P. 113-147. DOI: 10.1111/j.1751-2409.2011.01037.x
28. Oberemko O.A., Terenyeva N.N. Focused interview according to Robert Merton: features and criteria of quality. Monitoring of public opinion: economic and social changes. 2018, Vol. 148, N 6, P. 74-90. DOI: 10.14515/monitoring.2018.6.04 EDN: YZYHYL
29. Ognev A.S. Cardio-oculometric (cardio-oculographic) detection of functional states in a human individual. Cardiometry. 2019, N 14, P. 104-105. EDN: KJSPIZ
30. Ognev A.S., Zernov V.А., Likhacheva E.V., Nikolaeva L.P., Rudenko M.Y., Dymarchuk D.D., Yesenin D.S., Maslennikova P.А., Mizin N.V. Cardiometric detection of effects and patterns of emotional responses by a human individual to verbal, audial and visual stimuli. Cardiometry. 2019 a, N 14, P. 79-86. EDN: OUWRLY
31. Ognev A.S., Zernov V.А., Likhacheva E.V., Nikolaeva L.P., Rudenko M.Y., Tyrtyshny A.A., Yesenin D.S., Maslennikova P.А., Mizin N.V. Use of Cardiometry and oculography in concealed information detection. Cardiometry. 2019 b, N 14, P. 87-95. EDN: VUAFMP
32. Ognev A.S., Zernov V.А., Likhacheva E.V., Nikolaeva L.P., Rudenko M.Y., Kagonyan R.S., Kozintseva P.А., Maslennikova P.А., Mizin N.V. Validity of cardiometric performance data: an integral part of complex assessment of training session effectiveness. Cardiometry. 2019 c, N 14, P. 96-100. EDN: YWMEUX
33. Ognev A.S., Likhacheva E.V., Nikolaeva L.P. Eye trackers in counseling and coaching of subject genetic orientation. Moscow: Sputnik+, 2020 a, 133 p. 10.25633/5680-4 (In Russ.). DOI: 10.25633/5680-4(InRuss.)
34. Ognev A.S., Likhacheva E.V., Nikolaeva L.P. Eye trackers in oculometric psychodiagnostics. Moscow: Sputnik+, 2020, 134 p. DOI: 10.25633/5490-9 EDN: THIENS
35. Ognev A.S., Likhacheva E.V., Nikolaeva L.P. Oculographic manifestations of situative installations, cognitive schemes and life scenarios as different components of character. Human capital. 2020, Vol. 141, N 9, P. 200-210. 10.25629/HC.2020.09.18 (In Russ.). DOI: 10.25629/HC.2020.09.18(InRuss.) EDN: XIXXXW
36. Ognev A.S., Likhacheva E.V., Nikolaeva L.P., Galoi N.Yu., Zapesotskaya I.V., Rozenova M.I. Using trackers to diagnose social-role scenarios. Vestnik of Russian New University. Series: Human in the modern world. 2020, N 2, P. 7-18. 10.25586/RNU.V925X.20.02.P.0 (In Russ.). DOI: 10.25586/RNU.V925X.20.02.P.0(InRuss.) EDN: YRWWFK
37. Ognev A.S., Petrovskii V.A., Likhacheva E.V. Oculometric manifestations of unconscious visual judgments. Vestnik of Russian New University. Series: Human in the modern world. 2018, N 4, P. 3-9. 10.25586/RNU.V925X.18.04.P.003 (In Russ.). DOI: 10.25586/RNU.V925X.18.04.P.003(InRuss.) EDN: YTBATJ
38. Ognev A.S., Petrovskii V.A., Likhacheva E.V. Oculometric expressions of respondents' psychological attitude to visual content perception. Vestnik of Russian New University. Series: Human in the modern world. 2018, N 2, P. 41-48. 10.25586/RNU.V925X.18.02.P.041 (In Russ.). DOI: 10.25586/RNU.V925X.18.02.P.041(InRuss.) EDN: YVATVN
39. Römmele A. Political parties, party communication and new information and communication technologies. Party politics. 2003, Vol. 9, N 1, P. 7-20. DOI: 10.1177/135406880391002 EDN: LXSHRX
40. Shanahan E.A., Jones M.D., McBeth M.K., Lane R.R. An angel on the wind: How heroic policy narratives shape policy realities. Policy studies journal. 2013, Vol. 41, N 3, P. 453-483. DOI: 10.1111/psj.12025
41. Schmuck D., Tribastone M., Matthes J., Matthes E., Bergel M. Avoiding the Other Side?: An eye-tracking study of selective exposure and selective avoidance effects in response to political advertising. Journal of media psychology theories methods and applications. 2019, Vol. 32, N 3, P. 158-164. DOI: 10.1027/1864-1105/a000265
42. Smorgunov L.V. Network political parties. Polis. Political studies. 2014, N 4, P. 21-37. 10.17976/jpps/2014.04.03 (In Russ.). DOI: 10.17976/jpps/2014.04.03(InRuss.) EDN: SJGLTV
43. Thaler R., Sunstein K. Nudge: improving decisions about health, wealth, and happiness. Moscow: Mann, Ivanov and Ferber, 2017, 240 p. (In Russ.).
44. Volodenkov S.V. Influence of Internet communication technologies on contemporary social and political processes: scenarios, challenges, and actors. Monitoring of public opinion: economic and social changes. 2019, Vol. 5, N 5, P. 341-364. 10.14515/monitoring.2019.5.16 (In Russ.). DOI: 10.14515/monitoring.2019.5.16(InRuss.) EDN: SZERHF
45. Yarbus A.L. The role of eye movements in the process of vision. Moscow: Nauka, 1965, 173 p. (In Russ.).
46. Zernov V.A., Kozintseva P.A., Likhacheva E.V., Nikolaeva L.P., Ognev A.S., Dymarchuk D.D., Yesenin D.S., Kagonyan R.S., Lyanova E.M., Maslennikova P.A., Mizin N.V. Application of the computer cardiograph "Cardiocode" in engineering and social psychology. Vysshee obrazovanie segodnya. 2019, N 3, P. 68-75. EDN: YYSHBR