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02-01-2021

Political segmentation based on pictorial preferences on social media

Authors: Mehmet Özer Demir, Biagio Simonetti, Zuhal Gök Demir

Published in: Quality & Quantity | Special Issue 3/2023

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Abstract

Social media platforms, which are accepted as a channel for selling, listening and receiving continuous feedback from customers, have the opportunity to expand beyond the limits of traditional mass media channels. Social media mechanisms work well if the right message is delivered to the right person, so knowing the person concerned is a prerequisite for communication. This article aims to explore the potential of photos shared, liked and commented on social media as a consumer segmentation tool. The findings of study should help understand customer segments and deliver customized products, services, and advertisements. An online survey consisting of pictures and items was conducted in Turkey. The aim was to evaluate users' pictorial preferences to identify different consumer segments. The Support Vector Machine procedure revealed the existence of two clusters. It enables them to recognize different segments, to see marketers as individuals in order to communicate with themselves and to understand world views from a variety of perspectives.

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M-d-C, A.-D.-A., Lorenzo-Romero, C., Gómez-Borja, M.-Á.: Classifying and profiling social networking site users: a latent segmentation approach. Cyberpsychol. Behav. Soc. Netw. 14(9), 547–553 (2011)

Almeida-Santana, A., Moreno-Gil, S., Boza-Chirino, J.: The paradox of cultural and media convergence. Segmenting the European tourist market by information sources and motivations. Int. J. Tour. Res. 20(5), 613–625 (2018)

Amodio, D.M., Jost, J.T., Master, S.L., Yee, C.M.: Neurocognitive correlates of liberalism and conservatism. Nat. Neurosci. 10(10), 1246 (2007)

Anastasopoulos, L.J., Williams, J.R.: A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data. PLoS ONE 14(3), e0212834 (2019)

Andrews, L., Bianchi, C., Wiese, M., Cuneo, A., Fazal, E., Hasan, S.: Segmenting brands’ social network site (Sns) consumers: a four-country study. J. Int. Consum. Mark. 31(1), 22–38 (2019)

Bargh, J.: Before you know it: The unconscious reasons we do what we do. Simon and Schuster (2017)

Bhargava, P., Brdiczka, O., Roberts, M.: Unsupervised Modeling of Users' Interests from their Facebook Profiles and Activities. In: Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 191–201. ACM 2015

Campbell, C., Ferraro, C., Sands, S.: Segmenting consumer reactions to social network marketing. Eur. J. Mark. 48(3/4), 432–452 (2014)

Carney, D.R., Jost, J.T., Gosling, S.D., Potter, J.: The secret lives of liberals and conservatives: personality profiles, interaction styles, and the things they leave behind. Polit. Psychol. 29(6), 807–840 (2008)

Chen, J., Hsieh, G., Mahmud, J.U., Nichols, J.: Understanding individuals' personal values from social media word use. In: Proceedings of the 17th ACM conference on Computer supported cooperative work and social computing, pp. 405–414. ACM, 2014

Chen, T.Y., Cheng, H.A., Chen, Y.M.: Developing a personal value analysis method of social media to support customer segmentation and business model innovation. Expert Syst 36, e12374 (2019). https://doi.org/10.1111/exsy.12374CrossRef

Cichocka, A., Bilewicz, M., Jost, J.T., Marrouch, N., Witkowska, M.: On the grammar of politics—or why conservatives prefer nouns. Polit. Psychol. 37(6), 799–815 (2016)

Constantinides, E., Zinck Stagno, M.C.: Potential of the social media as instruments of higher education marketing: a segmentation study. J. Market. High. Educ. 21(1), 7–24 (2011)

Conway, L.G., III., Gornick, L.J., Houck, S.C., Anderson, C., Stockert, J., Sessoms, D., McCue, K.: Are conservatives really more simple-minded than liberals? The domain specificity of complex thinking. Polit. Psychol. 37(6), 777–798 (2016)

Deppe, K.D., Gonzalez, F.J., Neiman, J., Pahlke, J., Smith, K., Hibbing, J.R.: Reflective liberals and intuitive conservatives: A look at the Cognitive Reflection Test and ideology. Judgm. Decis. Mak. 10(4), 314–331 (2015)

Dimock, M., Doherty, C., Kiley, J., Krishnamurthy, V.: Beyond red vs. blue: The political typology. Pew Research Center, Washington (2014)

Dinçer, H., Hošková-Mayerová, Š, Korsakienė, R., Yüksel, S.: IT2-based multidimensional evaluation approach to the signaling: investors’ priorities for the emerging industries. Soft Comput. (2019). https://doi.org/10.1007/s00500-019-04288-6CrossRef

Edney, S., Bogomolova, S., Ryan, J., Olds, T., Sanders, I., Maher, C.: Creating engaging health promotion campaigns on social media: observations and lessons from Fitbit and Garmin. J. Med. Internet Res. 20(12), e10911 (2018)

Foster, M., West, B., Francescucci, A.: Exploring social media user segmentation and online brand profiles. J. Brand Manag. 19(1), 4–17 (2011)

Furnham, A., Avison, M.: Personality and preference for surreal paintings. Personal. Individ. Differ. 23(6), 923–935 (1997)

Gaskin, J.: Master validity tool: AMOS plugin. Gaskination’s StatWiki (2016)

Glasgow, M.R., Cartier, A.M., Wilson, G.D.: Conservatism, sensation-seeking and music preferences. Personal. Individ. Differ. 6(3), 395–396 (1985)

Graham, J., Nosek, B.A., Haidt, J.: The moral stereotypes of liberals and conservatives: exaggeration of differences across the political spectrum. PLoS ONE 7(12), e50092 (2012)

Gunter, B., Furnham, A.: Consumer profiles: An introduction to psychographics. Routledge (2014)

Haidt, J., Graham, J.: When morality opposes justice: conservatives have moral intuitions that liberals may not recognize. Soc. Justice Res. 20(1), 98–116 (2007)

Hargittai, E.: Whose space? Differences among users and non-users of social network sites. J. Comput.-mediat. Commun. 13(1), 276–297 (2007)

Hornsey, M.J., Schumann, K., Bain, P.G., Blumen, S., Chen, S.X., Gomez, A., González, R., Guan, Y., Kashima, E., Lebedeva, N.: Conservatives are more reluctant to give and receive apologies than liberals. Soc. Psychol. Personal. Sci. 8(7), 827–835 (2017)

Hošková-Mayerová, Š, Rosická, Z.: Programmed learning. Procedia-Soc. Behav. Sci. 31, 782–787 (2012)

Inbar, Y., Pizarro, D., Iyer, R., Haidt, J.: Disgust sensitivity, political conservatism, and voting. Soc. Psychol. Personal. Sci. 3(5), 537–544 (2012)

Inbar, Y., Pizarro, D.A.: Pathogens and politics: current research and new questions. Soc. Pers. Psychol. Compass 10(6), 365–374 (2016)

Inbar, Y., Pizarro, D.A., Bloom, P.: Conservatives are more easily disgusted than liberals. Cogn. Emot. 23(4), 714–725 (2009)

IPIP: International personality item pool: a scientific collaboratory for the development of advanced measures of personality traits and other individual differences. http://ipip.ori.org (2019)

Jost, J.T., Glaser, J., Kruglanski, A.W., Sulloway, F.J.: Political conservatism as motivated social cognition. Psychol. Bull. 129(3), 339 (2003)

Jost, J.T., Napier, J.L., Thorisdottir, H., Gosling, S.D., Palfai, T.P., Ostafin, B.: Are needs to manage uncertainty and threat associated with political conservatism or ideological extremity? Pers. Soc. Psychol. Bull. 33(7), 989–1007 (2007)

Kanai, R., Feilden, T., Firth, C., Rees, G.: Political orientations are correlated with brain structure in young adults. Curr. Biol. 21(8), 677–680 (2011)

Kietzmann, J.H., Hermkens, K., McCarthy, I.P., Silvestre, B.S.: Social media? Get serious! Understanding the functional building blocks of social media. Bus. Horiz. 54(3), 241–251 (2011)

Kim, J.C., Park, B., Dubois, D.: How consumers’ political ideology and status-maintenance goals interact to shape their desire for luxury goods. J. Market. 82(6), 132–149 (2018)

Klaassen, A.: Facebook vs. Google's adword. Advertising Age 78(6) (2008)

Loomer, J.: How to measure facebook advertising success: monitor these 5 metrics. In. Academic Press, (2013)

Makhanova, A., Miller, S.L., Maner, J.K.: Germs and the out-group: chronic and situational disease concerns affect intergroup categorization. Evolut. Behav. Sci. 9(1), 8 (2015)

Margolis, M., Sances, M.: Who really gives? Partisanship and charitable giving in the United States. Partisanship and Charitable Giving in the United States (August 9, 2013) (2013)

Merrill, J.B.: Liberal, Moderate or Conservative: See How Facebook Labels You. New York Times (2016)

Nail, P.R., McGregor, I., Drinkwater, A.E., Steele, G.M., Thompson, A.W.: Threat causes liberals to think like conservatives. J. Exp. Soc. Psychol. 45(4), 901–907 (2009)

Napier, J.L., Jost, J.T.: Why are conservatives happier than liberals? Psychol. Sci. 19(6), 565–572 (2008)

Oosterhoff, B., Shook, N.J., Ford, C.: Is that disgust I see? Political ideology and biased visual attention. Behav. Brain Res. 336, 227–235 (2018)

Öz, R., Özpolat, A.R., Taşkesen, O.: A study on individuals’ art preferences according to their personality traits via computer-aided web site. Am. J. Educ. Res. 3(8), 1052–1056 (2015)

Sabaitytė, J., Davidavičienė, V., Straková, J., Raudeliūnienė, J.: Decision tree modelling of e-consumers’ preferences for internet marketing communication tools during browsing. Ekonomie Manag. 22(1), 206–221 (2019)

Salvi, C., Cristofori, I., Grafman, J., Beeman, M.: Rapid communication: the politics of insight. SAGE Publications Sage UK, London, England (2016)

Schreiber, D., Fonzo, G., Simmons, A.N., Dawes, C.T., Flagan, T., Fowler, J.H., Paulus, M.P.: Red brain, blue brain: evaluative processes differ in democrats and republicans. PLoS ONE 8(2), e52970 (2013)

Shao, W., Ross, M., Grace, D.: Developing a motivation-based segmentation typology of Facebook users. Market. Intell. Plan. 33(7), 1071–1086 (2015)

Sherman, R.A.: Personal values and support for Donald Trump during the 2016 US presidential primary. Personal. Individ. Differ. 128, 33–38 (2018)

Skowron, M., Tkalčič, M., Ferwerda, B., Schedl, M.: Fusing social media cues: personality prediction from twitter and instagram. In: Proceedings of the 25th international conference companion on world wide web 2016, pp. 107–108. International World Wide Web Conferences Steering Committee

Smith, W.R.: Product differentiation and market segmentation as alternative marketing strategies. J. Market. 21(1), 3–8 (1956)

Swinyard, W.: The hard core and Zen riders of Harley Davidson: a market-driven segmentation analysis. J. Target. Meas. Anal. Market. 4, 337–362 (1996)

Sylwester, K., Purver, M.: Twitter language use reflects psychological differences between democrats and republicans. PLoS ONE 10(9), e0137422 (2015)

Talhelm, T., Haidt, J., Oishi, S., Zhang, X., Miao, F.F., Chen, S.: Liberals think more analytically (more “WEIRD”) than conservatives. Pers. Soc. Psychol. Bull. 41(2), 250–267 (2015)

Tetlock, P.E.: Cognitive style and political ideology. J. Pers. Soc. Psychol. 45(1), 118 (1983)

Tiago, M.T.P.M.B., Veríssimo, J.M.C.: Digital marketing and social media: why bother? Bus. Horiz. 57(6), 703–708 (2014)

Tybur, J.M., Inbar, Y., Güler, E., Molho, C.: Is the relationship between pathogen avoidance and ideological conservatism explained by sexual strategies? Evol. Human Behav. 36(6), 489–497 (2015)

Valdesolo, P., Graham, J.: Social psychology of political polarization. Taylor, Routledge (2016)

Van de Vyver, J., Houston, D.M., Abrams, D., Vasiljevic, M.: Boosting belligerence: how the July 7, 2005, London bombings affected liberals’ moral foundations and prejudice. Psychol. Sci. 27(2), 169–177 (2016)

Van Lange, P.A., Bekkers, R., Chirumbolo, A., Leone, L.: Are conservatives less likely to be prosocial than liberals? From games to ideology, political preferences and voting. Eur. J. Pers. 26(5), 461–473 (2012)

Vyncke, P.: Lifestyle segmentation: from attitudes, interests and opinions, to values, aesthetic styles, life visions and media preferences. Eur. J. Commun. 17(4), 445–463 (2002)

Watkins, L., Aitken, R., Mather, D.: Conscientious consumers: a relationship between moral foundations, political orientation and sustainable consumption. J. Clean. Prod. 134, 137–146 (2016)

Wedel, M., Kamakura, W.A.: Market segmentation: conceptual and methodological foundations, vol. 8. Springer, USA (2012)

Wei, H., Zhang, F., Yuan, N.J., Cao, C., Fu, H., Xie, X., Rui, Y., Ma, W.-Y.: Beyond the words: Predicting user personality from heterogeneous information. In: Proceedings of the tenth ACM international conference on web search and data mining 2017, pp. 305–314. ACM

Wertime, K., Fenwick, I.: DigiMarketing: the essential guide to new media and digital marketing. Wiley, Singapore (2011)

Wind, Y.J., Mahajan, V.: Digital marketing: global strategies from the world’s leading experts. Wiley, New York (2002)

Wojcik, S.P., Hovasapian, A., Graham, J., Motyl, M., Ditto, P.H.: Conservatives report, but liberals display, greater happiness. Science 347(6227), 1243–1246 (2015)

Yang, C., Pan, S., Mahmud, J., Yang, H., Srinivasan, P.: Using personal traits for brand preference prediction. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing 2015, pp. 86–96

Zhang, Y., Pennacchiotti, M.: Predicting purchase behaviors from social media. In: Proceedings of the 22nd international conference on World Wide Web 2013, pp. 1521–1532. ACM

Title: Political segmentation based on pictorial preferences on social media
Authors: Mehmet Özer Demir
Biagio Simonetti
Zuhal Gök Demir
Publication date: 02-01-2021
Publisher: Springer Netherlands
Published in: Quality & Quantity / Issue Special Issue 3/2023
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI: https://doi.org/10.1007/s11135-020-01082-7

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