Information clutter and affective polarisation: an analysis of emotions in disinformation posts in three Brazilian political conflicts on Twitter

Main Article Content

Julia Marks Santana Chaves
Claudio Luis de Camargo Penteado

Abstract

The article presents a study about the disinformation and the affective polarization on digital platforms. The research analyzed the presence and type of information disorders and their relation with the mobilization of emotions in 3 brazilian conflicts on Twitter: legalization of abortion, an episode of racial discrimination and opening of investigation for irregularities in actions to combat Covid-19 in the country. Through monitoring computational techniques, gathering and processing extracted data from the platform, a sample of the 100 most shared messages of each conflict (n=300) was composed. These publications were qualitatively analyzed to identify and classify the type of information disorders and verify the mobilization of the emotional framework in these tweets with disinformation. The results show that in the three conflicts analyzed it was possible to identify a large amount of content with information disorders among the most shared posts and its close relation with negative emotions (anger and disgust), indicating the relation between the disinformation and the affective polarization. 

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Section

MON. Analysis of disinformation: strategies (in) of information disruption

How to Cite

Santana Chaves, J. M., & de Camargo Penteado, C. L. (2023). Information clutter and affective polarisation: an analysis of emotions in disinformation posts in three Brazilian political conflicts on Twitter. Miguel Hernandez Communication Journal, 14, 67-88. https://doi.org/10.21134/mhjournal.v14i.1811

References

Arias Maldonado, M. (2016). La digitalización de la conversación pública: redes sociales, afectividad política y democracia. Revista de Estudios Políticos, 173, 27-54. http://dx.doi.org/10.18042/cepc/rep.173.01

Bakir, V. & McStay, A. (2018). Fake News and The Economy of Emotions. Digital Journa-lism, 6(2), 154-175. https://doi.org/10.1080/21670811.2017.1345645

Benkler, Y., (2006). The wealth of networks: How social production transforms markets and freedom. Yale University Press.

Brockington, G. (2011). Neurociência e Educação: investigando o papel da emoção na aquisição e uso do conhecimento científico (Doctoral Dissertation, Universidade de São Paulo).

Campos-Domínguez et al. (2021). Robot Strategies for Combating Disinformation in Election Campaigns: A Fact-checking Response from Parties and Organizations. En G. López-García et al (Ed.). Politics of Disinformation. John Wiley & Sons.

Castells, M. (1999). A sociedade em rede. São Paulo: Paz e Terra.

Castells, M. (2012). Redes de indignação e esperança. Zahar.

Castells, M. (2013). Communication Power. Oxford University Press, Oxford.

Castells, M. (2018). Ruptura: a crise da democracia liberal. Schwarcz-Companhia das Letras.

Chadwick, A. (2014). The Hybrid media system. Politics and power. Public Administration. 1106-1114.

Chadwick, A. & Vaccari, C. (2019). News sharing on UK social media: Misinformation, disinforma-tion and correction (Version 1). Loughborough University. https://hdl.handle.net/2134/37720

de Camargo Penteado, C. L., Goya, D. H., dos Santos, P. D., & Jardim, L. (2022). Populismo, desinformação e Covid-19: comunicação de Jair Bolsonaro no Twitter. En Media & Jornalis-mo, 22(40), 239-260. https://doi.org/10.14195/2183-5462_40_12

Ekman, P. (1992). An Argument for Basic Emotions. En Cognition and Emotion. 169-200Ekman, P. (2011). El rostro de las emociones. RBA Libros.

Fuks, M., & Marques, P. (2020). Afeto ou ideologia: medindo polarização política no Brasil. 12º ENCONTRO DA ABCP.

Iyengar, S., Sood, G., & Lelkes, Y. (2012). Affect, not ideologya social identity perspective on polarization. Public opinion quarterly, 76(3), 405-431.

Kalpokas, I. (2019). A political theory of post-truth. Londres: Palgrave Macmillan.

López-García, G. et al (2021). Politics of Disinformation. John Wiley & Sons.

Lupton, D. (2014). Digital sociology. Routledge.

Manfredi, J. L., Amado, A. & Gómez-Iniesta, P. (2022). State disinformation: emo-tions at the service of the cause. Communication & Society, 35(2), 205-221. https://doi.org/10.15581/003.35.2.205-221

Marwick, A. E. (2018). Why do people share fake news? A sociotechnical model of media effects. Georgetown law technology review, 2(2), 474-512.

Mercenier et al. (2021). Teens, Social Media, and Fake News: A User’s Perspective. En G. López-García et al (Ed.). Politics of Disinformation. John Wiley & Sons.

Napolitano, C. J., & Stroppa, T. (2017). O Supremo Tribunal Federal e o discurso de ódio nas redes sociais: exercício de direito versus limites à liberdade de expressão. Revista Brasilei-ra de Políticas Públicas, 7(3), 313-332.

Nowak, J. (2021). That Prodigious Machinery Designed to Exclude”: The Discourse of Post-truth. En Algorithmic Culture. En G. López-García et al (Ed.). Politics of Disinforma-tion. John Wiley & Sons.

Palau-sampio et al. (2021). Checking Verifications: Focus and Scope of Collaborative Pro-jects to Monitor Election Campaigns in France, Brazil, and Spain. En G. López-García et al (Ed.). Politics of Disinformation. John Wiley & Sons.

Papacharissi, Z. (2008). The virtual sphere 2.0: The Internet, the public sphere, and beyond. En Routledge handbook of Internet politics (pp. 230-245). Routledge.

Papacharissi, Z. (2015a). Affective publics: Sentiment, Technology and Politics. Oxford University Press.

Papacharissi, Z. (2015b). Affective publics and structures of storytelling: sentiment, events and media-lity. Oxford University Press.

Prinz, J. (2021). Emotion and Political Polarization. En The Politics of Emotional Shockwaves. Palgrave Macmillan, 1-25.

Rasmussen, T. (2013). Internet-based media, Europe and the political public sphere. Media, Culture & Society, 35.1: 97-104.

Recuero, R. (2017). Introdução à Análise de Redes Sociais Online. EDUFBA, Salvador.

Sampaio, R. C., & Lycarião, D. (2021). Análise de conteúdo categorial: manual de aplicação. Brasília, DF: Enap.

Sapienza y Massa. (2021). Using International Relations Theories to Understand Disinfor-mation. En G. López-García et al (Ed.). Politics of Disinformation. John Wiley & Sons.

Serrano-Puche, J. (2021). Digital disinformation and emotions: exploring the social risks of affective polarization. International Review of Sociology, 31(2), 231-245. https://doi.org/10.1080/03906701.2021.1947953

Sunstein, C. (2018). As mídias sociais são boas ou ruins para a democracia?. Revista Interna-cional de Direitos Humanos, v. 15, n. 27, 85-92.

Thamm, R. A. (2006). The classification of emotions. En Stets, J. E. and Turner, J. H. (eds) Handbook of the Sociology of Emotions. Boston, MA: Springer. 11-37

Vinhas, O. I., Sainz, N. G., & Recuero, R. (2019). Antagonismos discursivos no Twitter durante as Eleições de 2018 no Brasil: análise das hashtags# marqueteirosdojair e# bolsolão. Anais de Resumos Expandidos do Seminário Internacional de Pesquisas em Midiatização e Processos Sociais, 1(3).

Wardle, C. y Derakhshan, H. (2017). Information disorder : Toward an interdisciplinary framework for research and policymaking.

Wardle, C., & Derakhshan, H. (2018). Thinking about ‘information disorder’: formats of misinformation, disinformation, and mal-information. Ireton, Cherilyn; Posetti, Julie. Jour-nalism, ‘fake news’ & disinformation. Paris: Unesco.

Weeks, B. E. (2015). Emotions, Partisanship, and Misperceptions: How Anger and Anxiety Moderate the Effect of Partisan Bias on Susceptibility to Political Misinformation. Journal of Communication, 65(4), 699–719. https://doi.org/10.1111/jcom.12164

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