Transformation of Political Perceptions in the Age of Information Technologies: Analyzing the Impact on Political Beliefs

Authors

DOI:

https://doi.org/10.57125/FS.2023.09.20.02

Keywords:

political activity, information, political perception, communication, digitalisation, social networks

Abstract

The dynamism of social development dictates new rules for the transmission of political ideas and communication in the political space. Society has gained qualitatively new opportunities for obtaining political information, so political actors are forced to work not only on disseminating information but also on creating demanded political content. The purpose of the article is to highlight a new paradigm of perception of political activity by different clusters of the socio-cultural space. The tasks of scientific research are to differentiate the impact of innovative information and digital resources on individual and social consciousness. The methodology of the article involves general scientific methods that provide analysis and structuring of political activity and offer consideration of effective models of political perception. Content analysis, comparative analysis, and analytical monitoring determine the level of At the same time, philosophical and synergistic principles highlight pluralism, interdisciplinarity, and self-organisation as relevant methods for optimising the informational support of the political activity. The results of the study propose algorithms for the influence of political ideas on the socially active, passive, and neutral parts of society. The specifics of informative influence on political life in general and on representatives of the political audience in particular, which forms the peculiarities of information activity in the political space, are considered. The results of the study offer a description of the functions of ICTs in enhancing the perception of political content. Innovation is a key leitmotif of political activity in the information and digital sphere, as it is accessible and understandable to people who actively use technological and digital resources in everyday life. A promising area of research is the consideration of potential indicators of political perception in the context of the transition from traditional telecommunication resources to the information and digital segment. Thus, political perception in the modern political space is shaped by various information support that has both a universal impact on the audience and is specifically targeted at certain clusters of society.

References

Ahlstrom, D., Arregle, J.-L., Hitt, M.A., Qian, G., Ma, X., & Faems, D. (2020). Managing Technological, Sociopolitical, and Institutional Change in the New Normal. Journal of Management Studies, 57, 411–437. https://doi.org/10.1111/joms.12569

Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of economic perspectives, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211

Alvarez León, L. F., & Rosen, J. (2020). Technology as Ideology in Urban Governance. Annals of the American Association of Geographers, 110(2), 497–506. https://doi.org/10.1080/24694452.2019.1660139

Au, C. H., Ho, K. K. W., & Chiu, D. K. (2022). The Role of Online Misinformation and Fake News in Ideological Polarization: Barriers, Catalysts, and Implications. Information Systems Frontiers, 24, 1331–1354. https://doi.org/10.1007/s10796-021-10133-9

Bail, C. A., Argyle, L. P., Brown, T. W., Bumpus, J. P., Chen, H., Hunzaker, M. F., Lee, J., Mann, M., Merhout, F., & Volfovsky, A., (2018). Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences, 115(37), 9216–9221. https://doi.org/10.1073/pnas.1804840115

Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015). Tweeting from left to right: Is online political communication more than an echo chamber? Psychological science, 26(10), 1531–1542. https://doi.org/10.1177/09567976155946

Boulianne, S. (2020). Twenty Years of Digital Media Effects on Civic and Political Participation. Communication Research, 47(7), 947–966. https://doi.org/10.1177/0093650218808186

Calvo, E., Ventura, T., Aruguete, N., & Waisbord, S. (2023). Winning! Election returns and engagement in social media. PLOS ONE, 18, 3, e0281475. https://doi.org/10.1371/journal.pone.0281475

Cardenal, A. S., Aguilar-Paredes, C., Galais, C., & Pérez-Montoro, M. (2019). Digital Technologies and Selective Exposure: How Choice and Filter Bubbles Shape News Media Exposure. The International Journal of Press/Politics, 24(4), 465–486. https://doi.org/10.1177/1940161219862988

DePaula, N. (2023). Political ideology and information technology in government online communication. Government Information Quarterly, 40(1), 101747. https://doi.org/10.1016/j.giq.2022.101747

Eberl, J.-M., Tolochko, P., Jost, P., Heidenreich, T., & Boomgaarden, H. G. (2020). What’s in a post? How sentiment and issue salience affect users’ emotional reactions on Facebook. Journal of Information Technology & Politics, 17(1), 48–65. https://doi.org/10.1080/19331681.2019.1710318

Finlayson, A. (2022). YouTube and Political Ideologies: Technology, Populism and Rhetorical Form. Political Studies, 70(1), 62–80. https://doi.org/10.1177/0032321720934630

Freelon, D., Marwick, A., & Kreiss, D. (2020). False equivalencies: Online activism from left to right. Science, 369(6508), 1197–1201. https://doi.org/10.1126/science.abb2428

Gangula, R., Duggenpudi, S., & Mamidi, R. (2019). Detecting Political Bias in News Articles Using Headline Attention. In Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP (pp. 77–84). Florence, Italy. https://doi.org/10.18653/v1/W19-4809

Gil de Zúñiga, H., & Chen, H.-T. (2019). Digital Media and Politics: Effects of the Great Information and Communication Divides. Journal of Broadcasting & Electronic Media, 63(3), 365–373. https://doi.org/10.1080/08838151.2019.1662019

Gil de Zúñiga, H., & Diehl, T. (2019). News finds me perception and democracy: Effects on political knowledge, political interest, and voting. New Media & Society, 21(6), 1253–1271. https://doi.org/10.1177/1461444818817548

Gorwa, R. (2019). What is platform governance? Information, Communication & Society, 22(6), 854–871. https://doi.org/10.1080/1369118X.2019.1573914

Gorwa, R., Binns, R., & Katzenbach, C. (2020). Algorithmic content moderation: Technical and political challenges in the automation of platform governance. Big Data & Society, 7(1). https://doi.org/10.1177/2053951719897945

Gupta, A., & Briscoe, F. (2020). Organizational Political Ideology and Corporate Openness to Social Activism. Administrative Science Quarterly, 65(2), 524–563. https://doi.org/10.1177/0001839219852954

Högberg, C. (2023). Big Data: Consulting the Public in Public Policy. In M. van Gerven, C. Rothmayr Allison, K. Schubert (Eds.), Encyclopedia of Public Policy (pp. 1–5). Springer, Cham. https://doi.org/10.1007/978-3-030-90434-0_60-1

Ingrams, A. (2019). Public values in the age of big data: A public information perspective. Policy & Internet, 11(2), 128–148. https://doi.org/10.1002/poi3.193

Jiang, J., Chen, E., Yan, S., Lerman, K., & Ferrara, E. (2020). Political polarization drives online conversations about COVID-19 in the United States. Hum Behav & Emerg Tech, 2, 200–211. https://doi.org/10.1002/hbe2.202

Jost, P. (2023). How politicians adapt to new media logic. A longitudinal perspective on accommodation to user-engagement on Facebook. Journal of Information Technology & Politics, 20(2), 184–197. https://doi.org/10.1080/19331681.2022.2076271

Katzenbach, C., & Ulbricht, L. (2019). Algorithmic governance. Internet Policy Review, 8(4), 1–18. https://doi.org/10.14763/2019.4.1424

Kaufmann, M., Egbert, S., & Leese, M. (2019). Predictive Policing and the Politics of Patterns. The British Journal of Criminology, 59(3), 674–692. https://doi.org/10.1093/bjc/azy060

Keller, F., Schoch, D., Stier, S., & Yang, J. (2020). Political Astroturfing on Twitter: How to Coordinate a Disinformation Campaign. Political Communication, 37(2), 256–280. https://doi.org/10.1080/10584609.2019.1661888

Kellner, D. (2021). Globalization, Technopolitics and Revolution. In Technology and Democracy: Toward A Critical Theory of Digital Technologies, Technopolitics, and Technocapitalism (pp. 153–177). Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-31790-4_6

Koiranen, I., Koivula, A., Saarinen, A., & Keipi, T. (2020). Ideological motives, digital divides, and political polarization: How do political party preference and values correspond with the political use of social media? Telematics and Informatics, 46, 101322. https://doi.org/10.1016/j.tele.2019.101322

Koc-Michalska, K., Schiffrin, A., Lopez, A., Boulianne, S., & Bimber, B. (2021). From Online Political Posting to Mansplaining: The Gender Gap and Social Media in Political Discussion. Social Science Computer Review, 39(2), 197–210. https://doi.org/10.1177/0894439319870259

Lalancette, M., & Raynauld, V. (2019).The Power of Political Image: Justin Trudeau, Instagram, and Celebrity Politics. American Behavioral Scientist, 63(7), 888–924. https://doi.org/10.1177/0002764217744838

Lim, M. (2020). The politics and perils of dis/connection in the Global South. Media, Culture & Society, 42(4), 618–625. https://doi.org/10.1177/0163443720914032

Manacorda, M., & Tesei, A. (2020). Liberation Technology: Mobile Phones and Political Mobilization in Africa. Econometrica, 88, 533–567. https://doi.org/10.3982/ECTA14392

Masroor, F., Khan, Q. N., Aib, I., & Ali, Z. (2019). Polarization and Ideological Weaving in Twitter Discourse of Politicians. Social Media + Society, 5(4). https://doi.org/10.1177/2056305119891220

Mensah, I. K. (2020). Impact of Government Capacity and E-Government Performance on the Adoption of E-Government Services. International Journal of Public Administration, 43(4), 303–311. https://doi.org/10.1080/01900692.2019.1628059

Plantin, J.-C., & Punathambekar, A. (2019). Digital media infrastructures: pipes, platforms, and politics. Media, Culture & Society, 41(2), 163–174. https://doi.org/10.1177/0163443718818376

Rampersad, G., & Althiyabi, T. (2020). Fake news: Acceptance by demographics and culture on social media. Journal of Information Technology & Politics, 17(1), 1–11. https://doi.org/10.1080/19331681.2019.1686676

Sahly, A., Shao, C., & Kwon, H. (2019). Social Media for Political Campaigns: An Examination of Trump’s and Clinton’s Frame Building and Its Effect on Audience Engagement. Social Media + Society, 5(2). https://doi.org/10.1177/2056305119855141

Saravanamuthu, K. (2002). Information technology and ideology. Journal of Information Technology, 17(2), 79–87. https://doi.org/10.1080/02683960210145977

Thorson, K., Cotter, K., Medeiros, M., & Pak, C. (2021). Algorithmic inference, political interest, and exposure to news and politics on Facebook. Information, Communication & Society, 24(2), 183–200. https://doi.org/10.1080/1369118X.2019.1642934

Tomor, Z., Meijer, A., Michels, A., & Geertman, S. (2019) Smart Governance For Sustainable Cities: Findings from a Systematic Literature Review. Journal of Urban Technology, 26(4), 3–27. https://doi.org/10.1080/10630732.2019.1651178

Tripunoski, M., Sibinoski, B., & Ferati, F. (2022).Globalization and international relations in the multipolar world as reality or ideology. In Scientific Conference with International Participation FRESKA (pp. 57–68). https://doi.org/10.7251/ZNUBL2201057T

Valenzuela, S., Halpern, D., Katz, J. E., & Miranda, J. P. (2019). The Paradox of Participation Versus Misinformation: Social Media, Political Engagement, and the Spread of Misinformation. Digital Journalism, 7(6), 802–823. https://doi.org/10.1080/21670811.2019.1623701

Van Bavel, J. J., Harris, E. A., Pärnamets, P., Rathje, S., Doell, K. C., & Tucker, J. A. (2021). Political Psychology in the Digital (mis)Information age: A Model of News Belief and Sharing. Social Issues and Policy Review, 15, 84–113. https://doi.org/10.1111/sipr.12077

Vraga, E., & Bode, L. (2020). Defining Misinformation and Understanding its Bounded Nature: Using Expertise and Evidence for Describing Misinformation. Political Communication, 37(1), 136–144. https://doi.org/10.1080/10584609.2020.1716500

Vydra, S., & Klievink, B. (2019). Techno-optimism and policy-pessimism in the public sector big data debate. Government Information Quarterly, 36(4), 101383. https://doi.org/10.1016/j.giq.2019.05.010

Wenchao, Z., & Ting, Y. (2021). Application Analysis of Data Mining Technology in Ideological and Political Education Management. Journal of Physics: Conference Series, 1915, 042040. https://doi.org/10.1088/1742-6596/1915/4/042040

Westerlund, M. 2019. The Emergence of Deepfake Technology: A Review. Technology Innovation. Management Review, 9(11), 39–52. http://doi.org/10.22215/timreview/1282

Xie, S. (2021). Research on Effect Evaluation of Ideological and Political Education Based on Big Data Technology. In 2nd International Conference on Information Science and Education (pp. 884–887), Chongqing, China. https://doi.org/10.1109/ICISE-IE53922.2021.00202

Zahariadis, N. (2023). Multiple Streams Framework. In M. van Gerven, C. Rothmayr Allison, K. Schubert (Eds.), Encyclopedia of Public Policy (pp. 1–9). Springer, Cham. https://doi.org/10.1007/978-3-030-90434-0_70-1

Zhao, M., Yu, N., & Yang, Y. (2020). A New Thought Analysis on the Ideological and Political Education of College Students under the Socialist Core Values. In Annual Conference of Education, Teaching and Learning (572–576). https://doi.org/10.25236/acetl.2020.125

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Published

2023-09-20

How to Cite

Kryvoshein, V. (2023). Transformation of Political Perceptions in the Age of Information Technologies: Analyzing the Impact on Political Beliefs. Futurity of Social Sciences, 1(3), 20–32. https://doi.org/10.57125/FS.2023.09.20.02