De love a sad: sintonia afetiva no debate digital das eleições gerais espanholas de 2023
DOI:
https://doi.org/10.5294/pacla.2025.28.1.2Palavras-chave:
Sintonia afetiva, debate público digital, análise de redes sociais, eleições geraisResumo
Neste artigo, é analisado o nível de emotivismo no debate político digital no Facebook nas eleições gerais espanholas de 2023 com base em relatos oficiais e verificados de partidos, líderes políticos, meios de comunicação e usuários/usuárias. Um total de 34.968 mensagens do Facebook foi baixado durante o período oficial da campanha eleitoral e classificado em três grupos de agentes: partidos conectivos, meios de comunicação e outros atores de ação conectiva. Técnicas de big data foram usadas para analisar as mensagens e o NRC Emotion Lexicon foi aplicado para medir as emoções presentes. Os resultados mostram alta congruência afetiva porque as mensagens têm baixo conteúdo emocional. A presença da emoção “haha” nas reações chega a quase metade. Isso pode ser indicador de ironia e insatisfação dos usuários/das usuárias com relação às mensagens publicadas no processo eleitoral. Nos casos com baixa sintonia afetiva, destaca-se a superdimensionalidade da emoção “haha”. Esses resultados são relevantes a partir de uma abordagem emotivista, pois esclarecem a presença de emoções nesse tipo de debate que mobiliza a opinião pública e, às vezes, outras dinâmicas negativas que se afastam do ideal democrático.
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Referências
Abramowitz, A. I. y Webster, S. W. (2016). The rise of negative partisanship and the nationalization of U.S. elections in the 21st century. Electoral Studies, 41, 12-22. https://doi.org/10.1016/j.electstud.2015.11.001
Acampa, S. y Nunziata F. (2024). The discursive dimensions of pernicious polarization: Analysis of right-wing populists in western Europe on Twitter. Social Sciences, 13(6), 292. https://doi.org/10.3390/socsci13060292
Amira, K., Wright, J. C. y Goya-Tocchetto, D. (2021). In-group love versus out-group hate: Which is more important to partisans and when? Political Behavior, 43(2), 473-494. https://doi.org/10.1007/s11109-019-09557-6
Arias Maldonado, 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
Bankert, A. (2021). Negative and positive partisanship in the 2016 US presidential elections. Political Behavior, 43(4), 1467-1485. https://doi.org/10.1007/s11109-020-09599-1
Barberá, P. (2014). How social media reduces mass political polarization: Evidence from Germany, Spain, and the US. Job Market Paper, New York University, 46, 1-46. http://pablobarbera.com/static/barbera_polarization_APSA.pdf
Bendiksen, J. (2021). The book of veles. Gost Books.
Benkler, Y. (2006). The wealth of networks: How social production transforms markets and freedom. Yale University Press.
Bennett, W. y 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
Bernroider, E. W., Harindranath, G. y Kamel, S. (2022). From connective actions in social movements to offline collective actions: An individual level perspective. Information Technology & People, 35(8), 205-230. https://doi.org/10.1108/ITP-08-2020-0556
Blassnig, S., Udris, L., Staender, A. y Vogler, D. (2021). Popularity on Facebook during election campaigns: An analysis of issues and emotions in parties’ online communication. International Journal of Communication, 15(21), 4399-4419. https://doi.org/10.5167/uzh-207868
Bodó, B., Helberger, N., Eskens, S. y Möller, J. (2019). Interested in diversity: The role of user attitudes, algorithmic feedback loops, and policy in news personalization. Digital Journalism, 7(2), 206-229. https://doi.org/10.1080/21670811.2018.1521292
Boulianne, S. y Y. Theocharis. (2018). Young people, digital media, and engagement: A meta-analysis of research. Social Science Computer Review, 38(2), 111-127. https://doi.org/10.1177/0894439318814190
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
Casas-Mas, B., Fernández Marcellán, M., Robles, J. M. y Vélez, D. (2024). Emotivism trends in digital political communication: The influence on the results of the US presidential elections. Social Sciences, 13(2). https://doi.org/10.3390/socsci13020080
Castells, M. (2012). Networks of outrage and hope: Social movements in the internet age. Polity Press.
Chadwick, A. (2009). Web 2.0: New challenges for the study of e-democracy in an era of informational exuberance. Connecting Democracy, 5(1), 9-41. https://doi.org/10.7551/mitpress/9006.003.0005
Dader, J. L. y Campos Domínguez, E. (coords.) (2017). La búsqueda digital del voto: Cibercampañas electorales en España 2015-16. Tirant Lo Blanch.
Dahlgren, P. (2005). The internet, public spheres, and political communication: Dispersion and deliberation. Political Communication, 22(2), 147-162. https://doi.org/10.1080/10584600590933160
Eberl, J. M., Tolochko, P., Greussing, E., Song, H., Lind, F., Heidenreich, T. y Boomgaarden, H. (2017). Emotional reactions on Austrian parties’ Facebook pages during the 2017 Austrian Parliamentary election. University of Vienna.
Falkenberg, M., Zollo, F., Quattrociocchi, W., Pfeffer, J. y Baronchelli, A. (2023). Affective and interactional polarization align across countries. Physics and Society. https://doi.org/10.48550/arXiv.2311.18535
Habermas, J. (2006). Political communication in media society: Does democracy still enjoy an epistemic dimension? The impact of normative theory on empirical research. Communication Theory, 16(4), 411-426. https://doi.org/10.1111/j.1468-2885.2006.00280.x
Heaney, J. G. (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
Illouz, E. (2023). La vida emocional del populismo cómo el miedo, el asco, el resentimiento y el amor socavan la democracia. Katz.
Jost, P., Maurer, M. y Hassler, J. (2020). Populism fuels love and anger: The impact of message features on users’ reactions on Facebook. International Journal of Communication, 14, 2081-2102. https://ijoc.org/index.php/ijoc/article/view/130
Kahne, J. y Bowyer, B. (2018). The political significance of social media activity and social networks. Political Communication, 35(3), 470-493. https://doi.org/10.1080/10584609.2018.1426662
Kumar, A., Khan, S. U. y Kalra, A. (2020). Covid-19 pandemic: A sentiment analysis: A short review of the emotional effects produced by social media posts during this global crisis. European Heart Journal, 41(39), 3782-3783. https://doi.org/10.1093/eurheartj/ehaa597
Kümpel, A. S. (2019). The issue takes it all? Incidental news exposure and news engagement on Facebook. Digital Journalism, 7(2), 165-186. https://doi.org/10.1080/21670811.2018.1465831
Lelkes, Y. y Westwood, S. J. (2017). The limits of partisan prejudice. The Journal of Policis, 79(2), 485-501. https://doi.org/10.1086/688223
Lennox, R. J., Veríssimo, D., Twardek, W. M., Davis, C. R. y Jarić, I. (2020). Sentiment analysis as a measure of conservation culture in scientific literature. Conservation Biology, 34(2), 462-471. https://doi.org/10.1111/cobi.13404
Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1), 1-167. https://doi.org/10.2200/S00416ED1V01Y201204HLT016
Marcos-García, S., Alonso-Muñoz, L. y López-Meri, A. (2020). Extending influence on social media: The behaviour of political talk-show opinion leaderson Twitter. Communication y Society, 33(2), 277-293. https://doi.org/10.15581/003.33.2.277-293
Martínez Torralba, Á., Guevara, J. A., Córdoba Hernández, A. M. y Robles-Morales, J. M. (2023). Sintonía afectiva entre políticos y usuarios de redes: El paro nacional en Colombia, 2021. Tempo Social, 35(1), 163-190. https://doi.org/10.11606/0103-2070.ts.2023.203988
Martins, C. P. (2018). Trump: The negative uprise in political humor. Estudos em Comunicação, 1(27), 207-217. https://doi.org/10.11606/0103-2070.ts.2023.203988
Mohammad, S. M. y Turney, P. D. (2013). Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3), 436-465. https://doi.org/10.48550/arXiv.1308.6297
Mohammad, S. M., Kiritchenko, S. y Zhu, X. (2013). NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. Computation and Language. https://doi.org/10.48550/arXiv.1308.6242
Mutz, D. C. (2002). The consequences of cross-cutting networks for political participation. American Journal of Political Science, 46(4), 838-855. https://doi.org/10.2307/3088437
Nussbaum, M. (2014). Las emociones políticas: ¿Por qué el amor es importante para la justicia? Paidós.
Papacharissi, Z. (2015). 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
Real Decreto 400/2023, de 29 de mayo, de disolución del Congreso de los Diputados y del Senado y de convocatoria de elecciones. https://www.boe.es/diario_boe/txt.php?id=BOE-A-2023-12663
Robles, J. M. (2017). ¿Por qué la brecha digital es un problema social? Panorama Social, 25, 9-16. https://www.funcas.es/articulos/por-que-la-brecha-digital-es-un-problema-social/
Robles, J. M. y Córdoba, A. (2019). Digital political participation, social networks and Big Data. Palgrave Macmillan.
Robles, J. M., Molina, O. y De Marco, S. (2012). Digital political participation and the political digital divide in Spain: A study of digital inequalities. Arbor: Ciencia, Pensamiento y Cultura, 188(756), 795-810. https://doi.org/10.3989/arbor.2012.756n4012
Sartori, G. (2019). Polarización, fragmentación y competencia en las democracias occidentales. Revista de Ciencia Política, 13(1-2), 39-73. https://teologiayvida.uc.cl/index.php/rcp/article/view/6844
Serrano-Contreras, I. J., García-Marín, J. y Luengo, Ó. G. (2020). Measuring online political dialogue: Does polarization trigger more deliberation? Media and Communication, 8(4), 63-72. https://doi.org/10.17645/mac.v8i4.3149
Shahin, S. y Ng, Y. M. M. (2022). Connective action or collective inertia? Emotion, cognition, and the limits of digitally networked resistance. Social Movement Studies, 21(4), 530-548. https://doi.org/10.1080/14742837.2021.1985
Slattery, R. (2016, 28 de noviembre). Facebook sentiment analysis of mit. https://rpubs.com/rslats142/248381
Stier, S., Bleier, A., Lietz, H. y Strohmaier, M. (2018). Election campaigning on social media: Politicians, audiences, and the mediation of political communication on Facebook and Twitter. Political Communication, 35(1), 50-74. https://doi.org/10.1080/10584609.2017.1334728
Stier, S., Posch, L., Bleier, A. y Strohmaier, M. (2017). When populists become popular: Comparing Facebook use by the right-wing movement Pegida and German political parties. Information, Communication & Society, 20(9), 1365-1388. https://doi.org/10.1080/1369118X.2017.1328519
Sunstein, C. (2017). # Republic: Divided democracy in the age of social media. Princeton University Press.
Surman, M. y Reilly, K. (2005). Apropiarse de Internet para el cambio social: Hacia un uso estratégico de las nuevas tecnologías por las organizaciones transnacionales de la sociedad civil. Social Science Research. https://ojs.ehu.eus/index.php/hegoa/article/view/10764/10048
Szabó, G. (2020). Emotional communication and participation in politics. Intersections. East European Journal of Society and Politics, 6(2), 5-21. https://doi.org/10.17356/ieejsp.v6i2.739
Tajfel, H. y Turner, J. C. (2004). The social identity theory of intergroup behavior. En J. T. Jost y J. Sidanius (eds.), Political psychology: Key readings (pp. 276-293). Psychology Press. https://doi.org/10.4324/9780203505984-16
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D. y Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Basil Blackwell.
Van Deursen, A. J. y Helsper, E. J. (2015). The third-level digital divide: Who benefits most from being online? Communication and Information Technologies Annual, 10, 29-52. https://doi.org/10.1108/S2050-206020150000010002
Verbalyte, M. (2018). Deconstruction of the emotional logic of political scandal. En A. Haller, M. Henrik y M. Kraus (eds.), Scandology: An interdisciplinary field (pp. 62-87). Springer. https://doi.org/10.1111/1475-6765.12261
Ward, S. y Gibson, R. (2009). European political organizations and the internet. En A. Chadwick y P. N. Howard (eds.), Routledge handbook of internet politics (pp. 25-39). Routledge.
Yang, J. H. y Kim, Y. M. (2017). Equalization or normalization Voter-candidate engagement on Twitter in the 2010 U.S. midterm elections. Journal of Information Technology y Politics, 14(3), 232-247. https://doi.org/10.1080/19331681.2017.1338174
Zhang, L. y Clark, C. (2018). Affect, emotion, and rhetorical persuasion in mass communication. Routledge.
Zuboff, S. (2021). A era do capitalismo de vigilancia. Editora Intrínseca.
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Copyright (c) 2025 Belén Casas-Mas, Juan Antonio Guevara Gil, Pamela Fabiola Menéndez Cóndor, José Manuel Robles Morales

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Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España
Números do Financiamento PID2019-106254RB-I00
