Underlying Emotions in Political Messages: An Analysis of Their Influence on Interactions and Sharing/Commenting Actions on Facebook
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Abstract
The 2022 presidential elections in Colombia resulted in the victory of the first left-wing government in the country’s history, amidst a campaign marked by economic crisis, polarization, widespread circulation of misinformation, and hate speech fueling a populist narrative with a significant emotional component. In this context and considering the centrality of social media in public discourse, this study employed automated natural language processing techniques and statistical analysis to explore the configuration of affective audiences in the electoral contest, examining the specific emotions and implicit connotations within the breadth of campaign messages on the social network Facebook (N = 3,002) and their relationship with user reactions. One contribution of this study was the analysis of reactions as a mediator between implicit emotional valences and interactions (commenting and sharing). Although the implicit negative valence in campaign messages did not show a direct association with interactions, it did show an indirect and significant association through an increase in the number of negative reactions (“anger”), confirming the heuristic role of reactions and suggesting that the affective alignment between valences and reactions is a factor that enhances the impact of posts.
References
Amor, M. N., Monge, A., Talamé, M., & Cardoso, A. (2020). Clasificación de sentimientos en opiniones de una red social basada en dimensiones emocionales. Revista Digital del Departamento de Ingeniería e Investigaciones Tecnológicas de la Universidad Nacional de la Matanza, 5(1), 1-13. https://reddi.unlam.edu.ar/index.php/ReDDi/article/view/113/241 https://doi.org/10.54789/reddi.5.1.1
Arbeláez-Ochoa, J. (2023). Reflexión sobre las emociones políticas. Ciencia y Academia, 4. https://doi.org/10.21501/2744838x.4656
Arfuch, L. (2016). El giro afectivo: Emociones, subjetividad y política. DeSignis, (24), 245-254. https://dialnet.unirioja.es/servlet/articulo?codigo=6181109
Arias, M. (2016). La digitalización de la conversación pública: Redes sociales, afectividad política y democracia. Revista de Estudios Políticos, (173), 27-54. https://doi.org/10.18042/cepc/rep.173.01
Bene, M. (2016). Go viral on the Facebook! Interactions between candidates and followers on Facebook during the Hungarian general election campaign of 2014. Information, Communication & Society, 20(4), 513-529. https://doi.org/10.1080/1369118X.2016.1198411
Bennett, L., & Segerberg, A. (2012). The logic of connective action: Digital media and the personalization of contentious politics. Information, Communication & Society, 15(5), 739-768. https://doi.org/10.1080/1369118X.2012.670661
Berger, J. (2012). What makes online content viral? Strategic Direction, 28(8). https://doi.org/10.1108/sd.2012.05628haa.014
Boler, M., & Davis, E. (2018). The affective politics of the "post-truth" era: Feeling rules and networked subjectivity. Emotion, Space and Society, 27, 75-85. https://doi.org/10.1016/j.emospa.2018.03.002
Bouvier, G. (2020). From 'echo chambers' to 'chaos chambers': Discursive coherence and contradiction in the #MeToo Twitter feed. Critical Discourse Studies, 19(2), 179-195. https://doi.org/10.1080/17405904.2020.1822898
Brady, W., Wills, J., Jost, J., Tucker, J., & Van Bavel, J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313-7318. https://doi.org/10.1073/pnas.1618923114
Castillo de Mesa, J., Méndez, P., Carbonero, D., & Gómez, L. (2021). Homophilia, affective polarisation and misinformation on Twitter. Case study on the #Openarms migration crisis. Redes: Revista Hispana para el Análisis de Redes Sociales, 32(2), 153. https://doi.org/10.5565/rev/redes.913
Corduneanu, V., Muñiz, C., & Echeverría, M. (2019). Emociones en contexto electoral y atención a política en medios: ¿Inteligencia afectiva o evaluación cognitiva? Perspectivas de la Comunicación, 12(2), 57-87. http://dx.doi.org/10.4067/S0718-48672019000200057
Czarnek, G., & Stillwell, D. (2022). Two is better than one: Using a single emotion lexicon can lead to unreliable conclusions. PLOS ONE, 17(10), e0275910. https://doi.org/10.1371/journal.pone.0275910
Damasio, A. (1999). El error de Descartes: La razón de las emociones. Santiago de Chile: Andrés Bello.
De León, E., & Trilling, D. (2021). A sadness bias in political news sharing? The role of discrete emotions in the engagement and dissemination of political news on Facebook. Social Media + Society, 7(4), 205630512110597. https://doi.org/10.1177/20563051211059710
Demertzis, N. (2006). Emotions and populism. En N. Demertzis (Ed.), Emotion, politics and society (pp. 103-122). Palgrave Macmillan. https://doi.org/10.1057/9780230627895_7
De Paula, N., & Dincelli, E. (2018). Information strategies and affective reactions: How citizens interact with government social media content. First Monday, 23(4). https://doi.org/10.5210/fm.v23i4.8414
Eberl, J., Tolochko, P., Jost, P., Heidenreich, T., & Boomgaarden, H. (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
Ekman, P. (1992). An argument for basic emotions. Cognition and Emotion, 6(3), 169-200. https://doi.org/10.1080/02699939208411068
Garcés, R. (2023). El giro afectivo en la filosofía del joven Heidegger. Tópicos del Seminario, 1(49), 7-21. https://doi.org/10.35494/topsem.2023.1.49.846
García, F. (2022, abril 16). Lenguaje de campaña: cuando el odio opaca las propuestas. El Espectador. https://www.elespectador.com/politica/elecciones-colombia-2022/lenguaje-de-campana-cuando-el-odio-opaca-las-propuestas/
Gil de Zúñiga, H., Molyneux, L., & Zheng, P. (2014). Social media, political expression, and political participation: Panel analysis of lagged and concurrent relationships. Journal of Communication, 64(4), 612-634. https://doi.org/10.1111/jcom.12103
Graziani, L., Melacci, S., & Gori, M. (2019). Jointly learning to detect emotions and predict Facebook reactions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11730, 185-197. https://doi.org/10.1007/978-3-030-30490-4_16
Groenendyk, E. (2011). Current emotion research in political science: How emotions help democracy overcome its collective action problem. Emotion Review, 3(4), 455-463. https://doi.org/10.1177/1754073911410746
Grusin, R. (2010). Premediation: Affect and mediality after 9/11. New York: Palgrave Macmillan. https://doi.org/10.1057/9780230275270
Harris, E., Pärnamets, P., Sternisko, A., Robertson, C., & Van Bavel, J. (2020). The psychology and neuroscience of partisanship. PsyArXiv. https://doi.org/10.31234/osf.io/hdn2w
Han, B. (2014). En el enjambre. Barcelona: Herder. https://doi.org/10.2307/j.ctvt9k4gh
Hayes, A. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: The Guilford Press.
Heaney, J. (2019). Emotion as power: Capital and strategy in the field of politics. Journal of Political Power, 12(2), 224-244. https://doi.org/10.1080/2158379X.2019.1618485 https://doi.org/10.1080/2158379X.2019.1618485
Hoggett, P., & Thompson, S. (2012). Politics and the emotions: The affective turn in contemporary political studies. New York: Continuum.
Ingraham, C. (2023). To affect theory. Capacious: Journal of Emerging Affect Inquiry. https://doi.org/10.22387/CAP2022.76
Juleha, J., Yuniar, J., & Marsuki, N. R. (2024). Peran Media Sosial Dalam Dinamika Opini Publik dan Partisipasi Politik Era Digital. Concept: Journal of Social Humanities and Education, 3(1), 38-45. https://doi.org/10.55606/concept.v3i1.951
Koschut, S., Hall, T., Wolf, R., Solomon, T., Hutchison, E., & Bleiker, R. (2017). Discourse and emotions in international relations. International Studies Review, 19(3), 481-508. https://doi.org/10.1093/isr/vix033
Kempt, S. (2022). Digital 2022 Colombia. We Are Social. https://datareportal.com/reports/digital-2022-Colombia
Lee D., Hosanagar K., Nair H. (2014). The effect of social media marketing content on consumer engagement: Evidence from Facebook.
https://econpapers.repec.org/paper/eclstabus/3087.htm
Long, G., Weisbot, M., Rodríguez, F., & Sammut, J. (2022). Lo que está en juego en las elecciones presidenciales de Colombia: Construir la paz, reducir la pobreza y la desigualdad. Center for Economic and Policy Research. https://cepr.net/wp-content/uploads/2022/06/2022-06-Colombia-Spanish-Long-etc.pdf
Maldita.es. (2022, junio 21). La desinformación en las elecciones en Colombia en 2022: de los bulos sobre candidatos a las alertas de fraude electoral. Maldita.es.
https://maldita.es/malditobulo/20220621/desinformacion-elecciones-colombia-2022-candidatos-fraude/
Mancosu, M. (2016). Populism, selective exposure, and emotional appeals in social media: A comparative approach using Facebook reactions.
https://www.sisp.it/docs/convegno2016/125_sisp2016_comunicazione-politica.pdf
Marcus, G. (2000). Emotions in politics. Annual Review of Political Science, 3(1), 221-250. https://doi.org/10.1146/annurev.polisci.3.1.221
Martella, A., & Bracciale, R. (2022). Populism and emotions: Italian political leaders' communicative strategies to engage Facebook users. Innovation: The European Journal of Social Science Research, 35(1), 65-85. https://doi.org/10.1080/13511610.2021.1951681
Massumi, B. (1987). Notes on the translation and acknowledgements. En A thousand plateaus: Capitalism and schizophrenia (pp. 16-20). London: University of Minnesota Press.
Masullo, G. M. (2022). Facebook reactions as heuristics: Exploring relationships between reactions and commenting frequency on news about COVID-19. First Monday, 27(8). https://doi.org/10.5210/fm.v27i8.12674
Mohammad, S., & Turney, P. (2013). Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3), 436-465. https://doi.org/10.1111/j.1467-8640.2012.00460.x
Morris, D. S., & Morris, J. S. (2023). New social media nones: How and why Americans have changed their use of social media to consume political news. Journal of Information Communication and Ethics in Society, 21(4), 468-484. https://doi.org/10.1108/JICES-04-2023-0052
Nave, N. N., Shifman, L., & Tenenboim-Weinblatt, K. (2018). Talking it personally: Features of successful political posts on Facebook. Social Media + Society, 4(3). https://doi.org/10.1177/2056305118784771
Nguyen, C. (2019, marzo 13). Emotions and populist support. SocArXiv. https://doi.org/10.31235/osf.io/e2wm6
Paasonen, S. (2016). Fickle focus: Distraction, affect and the production of value in social media. First Monday. https://doi.org/10.5210/fm.v21i10.6949
Paletz, S. B. F., Johns, M. A., Murauskaite, E. E., Golonka, E. M., Pandža, N. B., Rytting, C. A., Buntain, C., & Ellis, D. (2023). Emotional content and sharing on Facebook: A theory cage match. Science Advances, 9(39), eade9231. https://doi.org/10.1126/sciadv.ade9231
Palomino, S. (2022, mayo 28). Los jóvenes alzan la voz ante las urnas: 'La palabra ahora la tenemos nosotros'. El País. https://elpais.com/america-colombia/elecciones-presidenciales/2022-05-28/los-jovenes-alzan-la-voz-ante-las-urnas-la-palabra-ahora-la-tenemos-nosotros.html
Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135. https://doi.org/10.1561/1500000011
Papacharissi, Z., & de Fatima, M. (2012). Affective news and networked publics: The rhythms of news storytelling on #Egypt. The Journal of Communication, 62(2), 266-282. https://doi.org/10.1111/j.1460-2466.2012.01630.x
Papacharissi, Z. (2015). Affective publics: Sentiment, technology, and politics. New York: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199999736.001.0001
Papacharissi, Z. (2016). Affective publics and structures of storytelling: Sentiment, events and mediality. Information, Communication & Society, 19(3), 307-324. https://doi.org/10.1080/1369118X.2015.1109697
Plaza Del Arco, F., Jiménez-Zafra, S., Martín-Valdivia, M., & Ureña-López, L. (2018). Using Facebook reactions to recognize emotion in political domain. Proceedings of CAEPIA 2018.
https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_90.pdf
Pellicer i Alapont, M. (2024). El 'show' viral de las presidenciales: cómo las redes sociales están redefiniendo la política de EEUU. COMeIN, 147. https://doi.org/10.7238/c.n147.2469
Plutchik, R. (1994). The psychology and biology of emotion. London: Harper Collins.
Rivera Otero, J. M., Mo-Groba, D., & Vicente Iglesias, G. (2023). Emotions and media: Emotional regime and emotional factors of selective exposure. Social Sciences (Basel, Switzerland), 12(10), 554. https://doi.org/10.3390/socsci12100554
Rosenbrock, G., Trossero, S., & Pascal, A. (2021). Técnicas de análisis de sentimientos aplicadas a la valoración de opiniones en el lenguaje español. Argentine Congress of Computer Science. https://www.researchgate.net/publication/355887680_Tecnicas_de_Analisis_de_Sentimientos_Aplicadas_a_la_Valoracion_de_Opiniones_en_el_Lenguaje_Espanol
Salmela, M., & Von Scheve, C. (2017). Emotional roots of right-wing political populism. Social Science Information, 56(4), 567-595. https://doi.org/10.1177/0539018417734419
Schemer, C. (2014). Emotional effects in political communication. Political Communication. https://doi.org/10.1515/9783110238174.569
Shouse, E. (2005). Feeling, emotion, affect. M/C Journal, 8(6). https://doi.org/10.5204/mcj.2443
Statista. (2022, mayo 27). Países con el mayor número de usuarios de Facebook en América Latina en febrero de 2022. Statista. https://es.statista.com/estadisticas/1173450/paises-mayor-cantidad-usuarios-facebook-america-latina/
Shah, D., McLeod, D., Rojas, H., Cho, J., Wagner, M., & Friedland, L. (2017). Revising the communication mediation model for a new political communication ecology. Human Communication Research, 43(4), 491-504. https://doi.org/10.1111/hcre.12115
Sunstein, C. (2007). Republic.com 2.0. New Jersey: Princeton University Press.
Szabó, G. (2020). Emotional communication and participation in politics. Intersections, 6(2), 5-21. https://doi.org/10.17356/ieejsp.v6i2.739
Santana, J., & Mateos, E. (2014). El arte de programa en R: Un lenguaje para la estadística. Instituto Mexicano de Tecnología del Agua.
Sturm, W., Heloisa, R., Martin, J., & Whipple, K. (2021). Affective affordances: Exploring Facebook reactions as emotional responses to hyperpartisan political news. Digital Journalism, 9(8), 1040-1061. https://doi.org/10.1080/21670811.2021.1899011
Taliar Giuntini, F., Pires Ruiz, L., De Fátima Kirchner, L., Aparecida Passarelli, D., Dutra Dos Reis, M. D. J., Campbell, A. T., & Ueyama, J. (2019). How do I feel? Identifying emotional expressions on Facebook reactions using clustering mechanism. IEEE Access: Practical Innovations, Open Solutions, 7, 53909-53921. https://doi.org/10.1109/access.2019.2913136
Tettegah, S., & Noble, U. (2016). Emotions, technology, and design. New York: Academic Press.
Tomkins, S. (1995). Exploring affect: The selected writings of Silvan S. Tomkins. Cambridge: Press Syndicate of the University of Cambridge. https://doi.org/10.1017/CBO9780511663994
Valentino, N., Brader, T., Groenendyk, E., Gregorowicz, K., & Hutchings, V. (2011). Election night's alright for fighting: The role of emotions in political participation. Journal of Politics, 73(1), 156-170. https://doi.org/10.1017/S0022381610000939
Valenzuela, S., Kim, Y., & Gil de Zúñiga, H. (2012). Social networks that matter: Exploring the role of political discussion for online political participation. International Journal of Public Opinion Research, 24(2), 163-184. https://doi.org/10.1093/ijpor/edr037
Verbalyte, M. (2018). Scandology: An interdisciplinary field. Köln: Halem.
Weber, C. (2013). Emotions, campaigns, and political participation. Political Research Quarterly, 66(2), 414-428. https://doi.org/10.1177/1065912912449697
Weller, K., Bruns, A., Burgess, J., Mahrt, M., & Puschmann, C. (2013). Twitter and society. New York: Peter Lang. https://doi.org/10.3726/978-1-4539-1170-9
Westen, D. (2007). The political brain: The role of emotion in deciding the fate of the nation. PublicAffairs.
Zhang, L., & Clark, C. (2018). Affect, emotion, and rhetorical persuasion in mass communication. London: Routledge. https://doi.org/10.4324/9781351242370
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