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(2023). “Apart but Together”. Proximity to Audiences in Times of Pandemic: The Case of the Italian Daily L’Eco di Bergamo. Journalism Studies, 24(14), 1797–1818. Online: https://doi.org/10.1080/1461670X.2023.2193657 Araya, R. (2014). The Global Notion of Journalism: A Hindrance to the Democratization of the Public Space in Chile. In M. A. Guerrero & M. Márquez-Ramírez (Eds.), Media Systems and Communication Policies in Latin America (pp. 254–271). Palgrave Global Media Policy and Business Series. Online: https://doi.org/10.1057/9781137409058_15 Arriagada, A., Correa, T., Scherman, A., & Abarzúa, J. (2015). Santiago no es Chile: brechas, prácticas y percepciones de la representación medial en las audiencias chilenas. Cuadernos.Info, (37), 63–75. Online: https://doi.org/10.7764/cdi.37.769 Bonifaz, M. (2016). Reforma estructural a las comunicaciones en Chile: el rol de los periodistas en regiones. In J. Olivares Mardones & P. Segura Ortíz (Eds.), Voces del periodismo: reflexiones sobre un quehacer en permanente construcción. LOM. Carrasco-Urrutia, P. (2021). Paisajes narrados de la Patagonia Aysén, Memorias ensambladas de un espacio en movimiento. Diálogo Andino, (66), 83–93. Online: https://doi.org/10.4067/s0719-26812021000300083 Cheverton, S. (2022). Supporting Hyperlocal Reporting: Global Funding, Local Voices. In D. Harte & R. Matthews (Eds.), Reappraising Local and Community News in the UK: Media, Practice, and Policy (pp. 55–67). Routledge. Online: https://doi.org/10.4324/9781003173144-5 Contreras, M. (2022). Las barricadas como lugares efímeros: el caso de las movilizaciones sociales de Aysén (2012) y Chiloé (2016). Geograficando, 18(2). Online: https://doi.org/10.24215/2346898xe118 Dodds, T. (2017). Emergence of Rebellious Digital Press in Chile: Divergence, Engagement and Impact. Media Watch, 8(2), 143–156. Online: https://doi.org/10.15655/mw/2017/v8i1/49016 Downman, S. & Murray, R. (2020). The Hyperlocal ‘Renaissance’ in Australia and New Zealand. In A. Gulyas & D. Baines (Eds.), The Routledge Companion to Local Media and Journalism (pp. 255–264). Routledge. Online: https://doi.org/10.4324/9781351239943-30 Durston, J. W., Gaete, J. M. & Pérez, M. (2016). Comunidad, conectividad y movimiento regional en la Patagonia: Evolución del capital social en la Región de Aysén, Chile. Cepal Review, (118), 221–234. Online: https://doi.org/10.18356/CDCF3B02-EN Ferrier, M., Sinha, G. & Outrich, M. (2016). Media Deserts: Monitoring the Changing Media Ecosystem. In M. I. Lloyd & L. A. Friedland (Eds.), The Communication Crisis in America, And How to Fix It (pp. 215–232). Palgrave Macmillan. Online: https://doi.org/10.1057/978-1-349-94925-0 Ferrucci, P. & Alaimo, K. I. (2020). Escaping the News Desert: Nonprofit News and Open-System Journalism Organizations. Journalism, 21(4), 489–506. Online: https://doi.org/10.1177/1464884919886437 FOPEA (2021). Desiertos informativos en Argentina. Online: https://bit.ly/4bfpWk1 Galletero-Campos, B., Saiz Echezarreta, V. & Rodríguez-Amat, J. R. (2024). Thinking about Media Reform from Depopulated Areas: Analysis of Social Perceptions about Local Journalism. Revista Latina de Comunicación Social, (82), 1–22. Online: www.doi.org/10.4185/RLCS-2024-2055 Garde-Eransus, E. & Salaverría, R. (2024). Patrones discursivos de la desinformación en España. In J. Rúas Araújo, L. Alonso-Muñoz & F. J. Paniagua Rojano (Eds.), El impacto de la desinformación en el ámbito local (pp. 111–128). Fragua. Giovani-Vieira, M. (2021). Desafiando a desertificação da mídia: o jornalismo hiperlocal como instrumento de aproximação informativa em contraste aos desertos de notícia na Região Administrativa de Bauru, interior de São Paulo. Universidade Estadual Paulista. Online: https://bit.ly/3u6iyXE Gulyas, A., Jenkins, J. & Bergström, A. (2023). Places and Spaces Without News: The Contested Phenomenon of News Deserts. Media and Communication, 11(3), 285–289. Online: https://doi.org/10.17645/mac.v11i3.7612 Harte, D., Howells, R. & Williams, A. (2018). Hyperlocal Journalism: The Decline of Local Newspapers and the Rise of Online Community News. Routledge. Online: https://doi.org/10.4324/9781315561240 Hassan-Montero, Y., De-Moya-Anegón, F. & Guerrero-Bote, V. P. (2022). SCImago Graphica: A New Tool for Exploring and Visually Communicating Data. Profesional de La Información, 31(5). Online: https://doi.org/10.3145/epi.2022.sep.02 Heawood, J. (2022). All in, All together? Government Subsidy for News. In D. Harte & R. Matthews (Eds.), Reappraising Local and Community News in the UK: Media, Practice, and Policy (pp. 29–41). Routledge. Online: https://doi.org/10.4324/9781003173144-3 Herrero-Solana, V. & Trillo-Domínguez, M. (2014). Twitter Brand-Directors: el efecto marca en las redes sociales de los directores de medios españoles. Estudios Sobre El Mensaje Periodístico, 20(1), 131–146. Online: https://doi.org/10.5209/rev_esmp.2014.v20.n1.45223 Hess, K. & Waller, L. (2017). Local Journalism in a Digital World (1st ed.). Palgrave Macmillan. IPYS (2023). Atlas del Silencio. Instituto Prensa y Sociedad. Online: https://bit.ly/47UKc7F Jenkins, J. & Graves, L. (2022). Do More with Less: Minimizing Competitive Tensions in Collaborative Local Journalism. Digital Journalism, 12(2), 101–120. Online: https://doi.org/10.1080/21670811.2022.2026237 Jensen, K. B. (2014). El proceso de investigación cualitativa. In K. B. Jensen (Ed.), La comunicación y los medios: metodologías de investigación cualitativa y cuantitativa (pp. 425–454). Fondo de Cultura Económica. Kizilkaya, E. (2021, July 17). News Deserts Spread in Turkey’s Inner Aegean, Central Anatolian and Eastern Regions. Journo. Online: https://bit.ly/3SiIc3o Labrín, J. M. (2023). Por un periodismo que retorne a sus comunidades. Comunicación y Medios, 32(48), 120–122. Online: http://dx.doi.org/10.5354/0719-1529.2023.73010 Lins da Silva, C. E. & Pimenta, A. (2020). Local News Deserts in Brazil: Historical and Contemporary Perspectives. In A. Gulyas & D. Baines (Eds.), The Routledge Companion to Local Media and Journalism (pp. 44–53). Routledge. Online: https://doi.org/10.4324/9781351239943-5 López-García, X., González-Arias, C. & Rodríguez-Vázquez, A. I. (2024). Nuevos tiempos para la verificación periodística: oportunidades y desafíos para los medios locales. In J. Rúas Araújo, L. Alonso-Muńoz & F. J. Paniagua Rojano (Eds.), El impacto de la desinformación en el ámbito local (pp. 129–144). Fragua. Mellado, C. & Cruz, A. (2024). Consumo de noticias y evaluación del periodismo en Chile: informe 2024. Pontificia Universidad Católica de Valparaíso. Online: https://bit.ly/3T4rjuu Mellado, C. & Scherman, A. (2020). Mapping Source Diversity across Chilean News Platforms and Mediums. Journalism Practice, 15(7), 974–993. Online: https://doi.org/10.1080/17512786.2020.1759125 Mesquita, L. (2023). Collaborative Journalism and Normative Journalism: Lessons from Latin American Journalism. Anàlisi, 68(765140), 27–44. Online: https://doi.org/10.5565/rev/analisi.3541 Midões, M. (2021). Community Radios in Portugal: Mapping an Overlooked Alternative Media. Online Journal of Communication and Media Technologies, 11(3), 1–12. Online: https://doi.org/10.30935/ojcmt/11086 Mönckeberg, M. O. (2011). Los magnates de la prensa: Concentración de los medios de comunicación en Chile. Debate. Nah, S. & Chung, D. S. (2020). Understanding Citizen Journalism as Civic Participation. Routledge. Napoli, P. M., Stonbely, S., McCollough, K. & Renninger, B. (2019). Local Journalism and the Information Needs of Local Communities: Toward a Scalable Assessment Approach. Journalism Practice, 13(8), 1024–1028. Online: https://doi.org/10.1080/17512786.2019.1647110 Negreira-Rey, M. C., López-García, X. & Vázquez-Herrero, J. (2020). Mapa y características de los cibermedios locales e hiperlocales en España. Revista de Comunicación, 19(2), 193–214. Online: https://doi.org/10.26441/rc19.2-2020-a11 Negreira‐Rey, M. C., Vázquez‐Herrero, J. & López‐García, X. (2023). No People, No News: News Deserts and Areas at Risk in Spain. Media and Communication, 11(3), 293–303. Online: https://doi.org/10.17645/MAC.V11I3.6727 Newman, N., Fletcher, R., Eddy, K., Robertson, C. & Nielsen, R. K. (2023). Reuters Institute Digital News Report 2023. Online: https://bit.ly/3xdjlXK Nielsen, R. K. (2015). Introduction: The Uncertain Future of Local Journalism. In R. K. Nielsen (Ed.), Local Journalism: The Decline of Newspapers and the Rise of Digital Media (pp. 1–25). I.B. Tauris. Núñez González, A. & Aliste Almuna, E. (2014). Patagonia-Aysén en la construcción del imaginario geográfico de la nación. Iztapalapa. Revista de Ciencias Sociales y Humanidades, 35(76), 165–188. Online: https://doi.org/10.28928/ri/762014/aot2/nunezgonzaleza/alistealumnae/bellomaldonadoa Nygren, G. (2019). Local Media Ecologies: Social Media Taking the Lead. Nordicom Review, 40(S2), 51–67. Online: https://doi.org/10.2478/nor-2019-0026 Observatorio Cultural (2022). Desde Aysén para el mundo. Radio Santa María y UMAG Aysén TV. Online: https://bit.ly/3yUatYs Osorio, M. (2020). El padre Antonio Ronchi Berra, «misionero relacionador de comunidades». Servicio nacional del Patrimonio Cultural. Online: https://bit.ly/3PL5lec Pressacco, C. F., Valenzuela, E. & Soto, G. (2017). Identidad regional y modelo de desarrollo alternativo: la Patagonia verde de Aysén. Papel Político, 22(1), 159–182. Online: https://doi.org/10.11144/javeriana.papo22-1.irym Rackaway, C. (2024). Communicating Politics Online: Disruption and Democracy (2nd ed.). Palgrave Macmillan. Reyes-Herrera, S. E. & Rodríguez-Torrent, J. C. (2015). Proyecto Hidroaysén: capitalismo extractivista, regulación estatal y acción colectiva en la Patagonia. Polis (Santiago), 14(40), 439–467. Online: https://doi.org/10.4067/s0718-65682015000100021 Rodríguez-Ortíz, R. (2016). Las radios comunitarias como motor de cambio desde la sociedad civil. In J. Olivares Mardones & P. Segura Ortíz (Eds.), Voces del periodismo: reflexiones sobre un quehacer en permanente construcción (pp. 167–173). LOM. Rodríguez-Urra, C., Trillo-Domínguez, M. & Herrero-Solana, V. (2023a). Mapa mediático hispanoamericano: una aproximación desde la academia [Hispano-American Media Map: An Approach from the Academy]. Revista de Comunicación, 22, 435–452. Online: https://doi.org/10.26441/RC22.2-2023-3105 Rodríguez-Urra, C., Trillo-Domínguez, M. & Herrero-Solana, V. (2023b). The Irruption of Digital Natives on the Chilean Media Landscape: Analysis of the Academic Impact in Front of Web and Social Networks (2004–2022). Brazilian Journalism Research, 19(1). Online: https://doi.org/10.25200/BJR.v19n1.2023.1572 Rodríguez-Urra, C. (2024). Dataset Región de Aysén medios (septiembre 2022). Zenodo. Online: https://zenodo.org/records/13766069 Rodríguez-Urra, C., Trillo-Domínguez, M. & Herrero-Solana, V. (2024). Hyperlocal Journalism in the Face of the Advance of News Deserts: Scoping Review. Media International Australia, 0(0). Online: https://doi.org/10.1177/1329878X241265831 Sáez, C. (2024). Sostenibilidad financiera y datos industriales: el caso de la TV regional, local y comunitaria en Chile. In Á. Carrasco-Campos & J. Candón-mena (Eds.), Sostenibilidad de los medios en la era digital (pp. 97–120). Comunicación Social Ediciones y Publicaciones. Salaverría, R., Harlow, S. & Felipe-de-Lima, M. (2022): Medios Nativos Digitales de Latinoamérica: Un panel de expertos. Universitat Pompeu Fabra. Online: https://bit.ly/484HL2E Smethers, J. S., Mwangi, S. C. & Bressers, B. (2021). Signal Interruption in Baldwin City: Filling a Communication Vacuum in a Small Town “News Desert”. Newspaper Research Journal, 42(3), 379–396. Online: https://doi.org/10.1177/07395329211030687 Suenzo, F., Boczkowski, P. & Mitchelstein, E. (2020). La crisis de la prensa escrita: una revisión bibliográfica para repensarla desde Latinoamérica. Cuadernos.Info, (47), 1–25. Online: https://doi.org/10.7764/cdi.47.1867 Taylor, S. J. & Bogdan, R. J. (2009). Introducción a los métodos cualitativos de investigación: la búsqueda de significados. Paidós. Tenor, C. (2018). Hyperlocal News and Media Accountability. Digital Journalism, 6(8), 1064–1077. Online: https://doi.org/10.1080/21670811.2018.1503059 Trillo-Domínguez, M. (2023, November 29). Desiertos Informativos. Granadahoy.com. Online: https://bit.ly/3vWtZ4y Wahl-Jorgensen, K., Garcia-Blanco, I. & Boelle, J. (2022). British Community Journalism’s Response to the COVID-19 Pandemic. In D. Harte & R. Matthews (Eds.), Reappraising Local and Community News in the UK: Media, Practice, and Policy (pp. 42–54). Routledge. Online: https://doi.org/10.4324/9781003173144-4 " ["copyrightYear"]=> int(2024) ["issueId"]=> int(611) ["licenseUrl"]=> string(43) "https://creativecommons.org/licenses/by/4.0" ["pub-id::doi"]=> string(19) "10.17646/KOME.of.20" ["abstract"]=> array(1) { ["en_US"]=> string(1540) "

News deserts are areas where the local community lacks reliable media outlets such as newspapers in the context of a global crisis in the press that weakens local civil society through its effect on democracy, social cohesion, and identity. This study focuses on the remote Aysén region of Chile which despite being territorially the third largest region in the country has the smallest population (108,306). This research employs a triangular methodology, incorporating a quantitative dimension using public data with systematic searches, a régiónál news desert media map and a social network metrics analysis, alongside qualitative methods such as a case study on the territory with semi-structured interviews and non-participant observation conducted between January and February 2023. The findings indicate that 20% of Aysén is at significant risk of becoming a news desert while 40% is already classified as such. The limited availability of diverse sources of information, the lack of adequate digital infrastructure, and the economic challenges faced by small media outlets are among the key contributing factors. Furthermore, the study posits potential solutions, including the establishment of collaborative networks and the advancement of mobile journalism, with the aim of reinforcing local identity and public institution strategies. Although the insights presented are primarily focused on the Aysén region, they could be extended to other Latin American and global regions facing comparable media vulnerabilities.

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Master   in   New   Interactive   Media   and   Multimedia   Journalism,   a   Ph.D.   candidate   in   Social   Sciences   at   the   University  of  Granada.  His  main  research  areas  are  journalism  and audiovisual  communication,  journalistic    documentation,    new    narratives,    and  media  systems.

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Politicians, Parties, and Government Representatives on Instagram: A Review of Research Approaches, Usage Patterns, and Effects. Review of Communication Research, 9, 193–246. Online: https://pdfs.semanticscholar.org/9fb5/179b51f355b46a191970c7cfd343223255f1.pdf Bast, J. (2021b). Managing the Image. The Visual Communication Strategy of European Right-wing Populist Politicians on Instagram. Journal of Political Marketing, 23(1), 1–25. Online: https://doi.org/10.1080/15377857.2021.1892901 Bernardez-Rodal, A., Rey, P. R. & Franco, Y. G. (2022). Radical Right Parties and Anti-Feminist Speech on Instagram: Vox and the 2019 Spanish General Election. Party Politics, 28(2), 272–283. Online: https://doi.org/10.1177/1354068820968839 Bonikowski, B., Luo, Y. & Stuhler, O. (2022). Politics as Usual? Measuring Populism, Nationalism, and Authoritarianism in U.S. Presidential Campaigns (1952–2020) with Neural Language Models. Sociological Methods & Research, 51(4), 1721–1787. Online: https://doi.org/10.1177/00491241221122317 Bosetta, M. (2018). The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election. Journalism & Mass Communication Quarterly, 95(2), 471–496. Online: https://doi.org/10.1177/1077699018763307 Dimitrova, D. V. & Matthes, J. (2018). Social Media in Political Campaigning Around the World: Theoretical and Methodological Challenges. Journalism & Mass Communication Quarterly, 95(2), 333–342. Online: https://doi.org/10.1177/1077699018770437 Dittrich, P.-J. (2017). Social Networks and Populism in the EU. Jacques Delors Institut Berlin Policy Paper 192. Online: https://institutdelors.eu/wp-content/uploads/2020/08/socialnetworksandpopulism-dittrichjdib-april17-2.pdf Druckman, J. N. & Levendusky, M. S. (2019). What Do We Measure When We Measure Affective Polarization? Public Opinion Quarterly, 83(1), 114–122. Online: https://doi.org/10.1093/poq/nfz003 Ekman, M. & Widholm, A. (2017). Political Communication in an Age of Visual Connectivity: Exploring Instagram Practices among Swedish Politicians. Northern Lights: Film & Media Studies Yearbook, 15(1), 15–32. Online: https://doi.org/10.1386/nl.15.1.15_1 Engesser, S., Ernst, N., Esser, F. & Büchel, F. (2017a). Populism and Social Media: How Politicians Spread a Fragmented Ideology. Information, Communication & Society, 20(8), 1109–1126. Online: https://doi.org/10.1080/1369118X.2016.1207697 Engesser, S., Fawzi, N. & Larsson, A. O. (2017b). Populist Online Communication: Introduction to the Special Issue. Information, Communication & Society, 20(9), 1279–1292. Online: https://doi.org/10.1080/1369118X.2017.1328525 Ernst, N., Blassnig, S., Engesser, S., Büchel, F. & Esser, F. (2019). Populists Prefer Social Media over Talk Shows: An Analysis of Populist Messages and Stylistic Elements across Six Countries. Social Media + Society, 5(1). Online: https://doi.org/10.1177/2056305118823358 Faris, R., Roberts, H., Etling, B., Bourassa, N., Zuckerman, E. & Benkler, Y. (2017). Partisanship, Propaganda, and Disinformation: Online Media and the 2016 US Presidential Election. Berkman Klein Center Research Publication 2017-6. Online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3019414 Filimonov, K., Russmann, U. & Svensson, J. (2016). Picturing the Party: Instagram and Party Campaigning in the 2014 Swedish Elections. Social Media + Society, 2(3). Online: https://doi.org/10.1177/2056305116662179 Gamir-Ríos, J., Cano-Orón, L. & Lava-Santos, D. (2022). From Localization to Mobilization. Evolution of the Electoral Use of Instagram in Spain from 2015 to 2019. Revista de Comunicación, 21(1), 159–179. Online: https://doi.org/10.26441/RC21.1-2022-A8 Gerbaudo, P. (2018). Social Media and Populism: An Elective Affinity? Media, Culture & Society, 40(5), 745–753. Online: https://doi.org/10.1177/0163443718772192 Gidron, N., Adams, J. & Horne, W. (2019). Toward a Comparative Research Agenda on Affective Polarization in Mass Publics. APSA Comparative Politics Newsletter, 29, 30–36. Goffman, E. (1974). Frame Analysis: An Essay on the Organization of Experience. Harvard University Press. Hameleers, M., Bos, L. & de Vreese, C. (2018). Framing Blame: Toward a Better Understanding of the Effects of Populist Communication on Populist Party Preferences. Journal of Elections, Public Opinion and Parties, 28(3), 380–398. Online: https://doi.org/10.1080/17457289.2017.1407326 Haßler, J., Kümpel, A. S. & Keller, J. (2023). Instagram and Political Campaigning in the 2017 German Federal Election. A Quantitative Content Analysis of German Top Politicians’ and Parliamentary Parties’ Posts. Information, Communication & Society, 26(3), 530–550. Online: https://doi.org/10.1080/1369118X.2021.1954974 Hawdon, J., Ranganathan, S., Leman, S., Bookhultz, S. & Mitra, T. (2020). Social Media Use, Political Polarization, and Social Capital: Is Social Media Tearing the U.S. Apart? In G. Meiselwitz (Ed.), Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis (pp. 243–260). Springer. Online: https://doi.org/10.1007/978-3-030-49570-1_17 Iyengar S., Lelkes Y., Levendusky M., Malhotra N. & Westwood S. J. (2019). The Origins and Consequences of Affective Polarization in the United States. Annual Review of Political Science, 22, 129–146. Online: https://doi.org/gfv79s Iyengar S., Sood G. & Lelkes Y. (2012). Affect, Not Ideology: A Social Identity Perspective on Polarization. Public Opinion Quarterly, 76(3), 405–431. Online: https://doi.org/bsck Kanaouti, S. (2018). O τουρισμός της φωτογραφίας: μνημεία χωρίς μνήμη στο Instagram [The Tourism of Photography: Monuments Without Memory on Instagram]. Kaboom: Diaries Before the Great Explosion, 4, 49–66. Kingzette, J., Druckman, J. N., Klar, S., Krupnikov, Y., Levendusky, M. & Ryan, J. B. (2021). How Affective Polarization Undermines Support for Democratic Norms. Public Opinion Quarterly, 85(2), 663–677. Online: https://doi.org/10.1093/poq/nfab029 Klein, E. (2020). Why We’re Polarized. New York: Avid Reader Press. Kligler-Vilenchik, N., Baden, C. & Yarchi, M. (2020). Interpretative Polarization across Platforms: How Political Disagreement Develops Over Time on Facebook, Twitter, and WhatsApp. Social Media + Society, 6(3). Online: https://doi.org/10.1177/2056305120944393 Knudsen, E. (2021). Affective Polarization in Multiparty Systems? Comparing Affective Polarization Towards Voters and Parties in Norway and the United States. Scandinavian Political Studies, 44(1), 34–44. Online: https://doi.org/10.1111/1467-9477.12186 Krzyżanowski, M. (2018). Discursive Shifts in Ethno-Nationalist Politics: On Politicization and Mediatization of the “Refugee Crisis” in Poland. Journal of Immigrant & Refugee Studies, 16(1–2), 76–96. Online: https://doi.org/10.1080/15562948.2017.1317897 Kubin, E. & von Sikorski, C. (2021). The Role of (Social) Media in Political Polarization: A Systematic Review. Annals of the International Communication Association, 45(3), 188–206. Online: https://doi.org/10.1080/23808985.2021.1976070 Lalancette, M. & Raynauld, V. (2017). The Power of Political Image: Justin Trudeau, Instagram, and Celebrity Politics. American Behavioral Scientist, 63(7), 888–924. Online: https://doi.org/10.1177/0002764217744838 Larsson, A. O. (2019). Skiing All the Way to the Polls: Exploring the Popularity of Personalized Posts on Political Instagram Accounts. Convergence: The International Journal of Research into New Media Technologies, 25(5–6), 1096–1110. Online: https://doi.org/10.1177/1354856517741132 Larsson, A. O. (2021). The Rise of Instagram as a Tool for Political Communication: A Longitudinal Study of European Political Parties and Their Followers. New Media & Society, 25(10), 2744–2762. Online: https://doi.org/10.1177/14614448211034158 Lee, K. S. & Wei, H. (2022). Developing Responsible Algorithmic Curation Features in Social Media Through Participatory Design. In G. Bruyns & H. Wei (Eds.), [] With Design: Reinventing Design Modes. IASDR 2021 (pp. 2905–2921). Springer. Online: https://doi.org/10.1007/978-981-19-4472-7_188 Lilleker, D. G. & Veneti, A. (2023). Research Handbook on Visual Politics. Edward Elgar Publishing. Online: https://doi.org/10.4337/9781800376939 López-Rabadán, P. & Doménech-Fabregat, H. (2021). Nuevas funciones de Instagram en el avance de la“políca espectáculo”. Claves profesionales y estrategia visual de Vox en su despegue electoral [New Functions of Instagram in the Advance of “Show Politics”. Professional Keywords and Visual Strategy of Vox in its Electoral Takeoff.]. Profesional dela información, 30(2). Online: https://doi.org/10.3145/epi.2021.mar.20 Lucas, S. E. & Stob, P. (2023). The Art of Public Speaking: Thirteenth Edition (International Student Edition), New York: McGraw-Hill. Mendonça, R. F. & Caetano, R. D. (2021). Populism as Parody: The Visual Self-Presentation of Jair Bolsonaro on Instagram. The International Journal of Press/Politics, 26(1), 210–235. Online: https://doi.org/10.1177/1940161220970118 Messaris, P. & Abraham, L. (2001). The Role of Images in Framing News Stories In S. D. Reese, O. H. Gandy Jr. & A. E. Grant (Eds.), Framing Public Life: Perspectives on Media and Our Understanding of the Social World (pp. 215–226). Routledge. Online: www.taylorfrancis.com/chapters/edit/10.4324/9781410605689-22/role-images-framing-news-stories-paul-messaris-linus-abraham Mudde, C. (2007). Populist Radical Right Parties in Europe. Cambridge University Press. Mudde, C. (2019). The Far Right Today. Polity. Mudde, C. & Rovira Kaltwasser, C. (2017). Populism: A Very Short Introduction. Oxford University Press. Online: https://doi.org/10.1093/actrade/9780190234874.001.0001 Müller, P., Schemer, C., Wettstein, M., Schulz, A., Wirz, D. S., Engesser, S. & Wirth, W. (2017). The Polarizing Impact of News Coverage on Populist Attitudes in the Public: Evidence from a Panel Study in Four European Democracies. Journal of Communication, 67(6), 968–992. Online: https://doi.org/10.1111/jcom.12337 Muñoz, C. L. & Towner, T. L. (2017). The Image is the Message: Instagram Marketing and the 2016 Presidential Primary Season. Journal of Political Marketing, 16(3–4), 290–318. Online: https://doi.org/10.1080/15377857.2017.1334254 Nordbrandt, M. (2023). Affective Polarization in the Digital Age: Testing the Direction of the Relationship between Social Media and Users’ Feelings for Out-Group Parties. New Media & Society, 25(12), 3392–3411. Online: https://doi.org/10.1177/14614448211044393 Norris, P. (2005). Radical Right: Voters and Parties in the Electoral Market. Cambridge University Press. Online: https://doi.org/10.1017/CBO9780511615955 O’Connell, D. (2018). #Selfie: Instagram and the United States Congress. Social Media + Society, 4(4). Online: https://doi.org/10.1177/2056305118813373 Page, J. T. & Parnell, L. J. (2021). Introduction to Public Relations. Strategic, Digital and Socially Responsible Communication (2nd ed.). London: SAGE. Quevedo-Redondo, R. & Portalés-Oliva, M. (2017). Imagen y comunicación política en Instagram. Celebrificación de los candidatos a la presidencia del Gobierno [Image and Political Communication on Instagram. Celebrification of the Candidates for the Presidency of the Government]. Profesional de la información Information Professional, 26(5), 916–927. Online: https://doi.org/10.3145/epi.2017.sep.13 Rivas-de-Roca, R., Pérez-Curiel, C. & García-Gordillo, M. (2022). Building Extreme Right Discourses on Twitter for Non-Campaign Periods: Insights from Populist Leaders across Europe. Observatorio (OBS*), 16(4). Online: https://doi.org/10.15847/obsobs16420222176 Rodina, E. & Dligach, D. (2019). Dictator’s Instagram: Personal and Political Narratives in a Chechen Leader’s Social Network. Caucasus Survey, 7, 1–15. Online: https://doi.org/10.1080/23761199.2019.1567145 Rodriguez, L. & Dimitrova, D. (2011). The Levels of Visual Framing. Journal of Visual Literacy, 30(1), 48–65. Online: https://doi.org/10.1080/23796529.2011.11674684 Russmann, U., Svensson, J. & Larsson, A. O. (2019). Political Parties and Their Pictures: Visual Communication on Instagram in Swedish and Norwegian Election Campaigns. In A. Veneti, D. Jackson & D. G. Lilleker (Eds.), Visual Political Communication (pp. 119–144). Palgrave Macmillan. Online: https://doi.org/10.1007/978-3-030-18729-3_7 Scott, W. (1955). Reliability of Content Analysis: The Case of Nominal Scale Coding. Public Opinion Quarterly, 19(3), 321–325. Online: https://doi.org/10.1086/266577 Shahini-Hoxhaj, R. (2018). Facebook and Political Polarization: An Analysis of the Social Media Impact on the Kosovo-Serbia Dialogue. Journal of Media Research, 11(3/32), 71–93. Online: https://doi.org/10.24193/jmr.32.6 Stępińska, A., Lipiński, A., Piontek, D. & Hess, A. (2020). Populist Political Communication in Poland. Political Actors – Media – Citizens. Logos Verlag. Svraka, D. (2023). Targeted Nativism: Ethnic Diversity and Radical Right Parties in Europe. Government and Opposition, 59(2), 360–381. Online: https://doi.org/10.1017/gov.2023.27 Tillman, E. (2021). Authoritarianism and the Evolution of West European Electoral Politics. Oxford University Press. Veneti, A., Jackson, D. & Lilleker, D. G. (2019). Visual Political Communication. Palgrave Macmillan. Online: https://doi.org/10.1007/978-3-030-18729-3 Wagner, M. (2020). Affective Polarization in Multiparty Systems. Electoral Studies 69, Online: https://doi.org/10.1016/j.electstud.2020.102199 Wazzan, A. & Aldamen, Y. (2023). How University Students Evaluate the Role of Social Media in Political Polarization: Perspectives of a Sample of Turkish Undergraduate and Graduate Students. Journalism and Media, 4(4), 1001–1020. Online: https://doi.org/10.3390/journalmedia4040064 Wilson, A. E., Parker, V. A. & Feinberg, M. (2020). Polarization in the Contemporary Political and Media Landscape. Behavioral Sciences, 34, 223–228. Online: https://doi.org/10.1016/j.cobeha.2020.07.005 Yarchi, M., Baden, C. & Kligler-Vilenchik, N. (2021). Political Polarization on the Digital Sphere: A Crossplatform, Over-time Analysis of Interactional, Positional, and Affective Polarization on Social Media. Political Communication, 38(1–2), 98–139. Online: https://doi.org/10.1080/10584609.2020.1785067 Zamora-Medina, R., Suminas, A. & Fahmy, S. S. (2023). Securing the Youth Vote: A Comparative Analysis of Digital Persuasion on TikTok among Political Actors. Media and Communication, 11(2), 218–231. Online: https://doi.org/10.17645/mac.v11i2.6348" ["copyrightYear"]=> int(2024) ["issueId"]=> int(611) ["licenseUrl"]=> string(43) "https://creativecommons.org/licenses/by/4.0" ["pub-id::doi"]=> string(19) "10.17646/KOME.of.21" ["abstract"]=> array(1) { ["en_US"]=> string(1104) "

This article compares the power of visual affective polarisation on Instagram among six European far-right political parties with the aim of enhancing academic knowledge about the manner in which these parties construct their political identity through visual symbols, rhetoric, and imagery to appeal to their target audiences and convey their ideologies. Through quantitative content analysis of Instagram visuals posted on Instagram by the six main European far-right parties during a two-month period, we focused on content-related and format-related variables, as well as technical features, to analyse those visuals as denotative, connotative and ideological systems from the visual framing model perspective. Findings revealed significant differences in the visual framing strategies among these European far-right political parties, pointing to the complexity in identifying a common pattern in their strategic visual communication regarding affective polarisation. This study contributes to the existing literature on visual communication and affective polarisation strategies in politics.

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Gallup Inc. Ashok, M., Madan, R., Joha, A. & Sivarajah, U. (2022). Ethical Framework for Artificial Intelligence and Digital Technologies. International Journal of Information Management, 62. Online: https://doi.org/10.1016/j.ijinfomgt.2021.102433 Asimov, I. (1942). Runaround. Street & Smith Publications, Inc. Auxier, B. & Anderson, M. (2021). Social Media Use in 2021. Pew Research Center. Bappy, J. H., Simons, C., Nataraj, L., Manjunath, B. S. & Roy-Chowdhury, A. K. (2019). Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries. IEEE Transactions on Image Processing, 28(7), 3286–3300. Online: https://doi.org/10.1109/TIP.2019.2895466 Bastian, M., Heymann, S. & Jacomy, M. (2009, March). Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361–362. Online: https://doi.org/10.1609/icwsm.v3i1.13937 Bates, B. R. (2005). Public Culture and Public Understanding of Genetics: A Focus Group Study. Public Understanding of Science, 14(1), 47–65. Online: https://doi.org/10.1177/0963662505048409 Bonifazi, G., Corradini, E., Ursino, D. & Virgili, L. (2023). Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts. Big Data and Cognitive Computing, 7(1). Online: https://doi.org/10.3390/bdcc7010047 Liao, W. & Al-Qudah, I. (2023). Leveraging State-of-the-Art Topic Modeling for News Impact Analysis on Financial Markets: A Comparative Study. Electronics, 12(12). Online: https://doi.org/10.3390/electronics12122605 Chong, D. & Druckman, J. N. (2007). Framing Theory. Annual Review of Political Science, 10(1), 103–126. Online: https://doi.org/10.1146/annurev.polisci.10.072805.103054 Church, K. W. (2017). Word2Vec. Natural Language Engineering, 23(1), 155–162. Online: https://doi.org/10.1017/S1351324916000334 Claessens, N. & Van den Bulck, H. (2016). A Severe Case of Disliking Bimbo Heidi, Scumbag Jesse and Bastard Tiger: Analysing Celebrities’ Online Anti-Fans. In L. Duits, K. Zwaan & S. Reijnders (Eds.), The Ashgate Research Companion to Fan Cultures (pp. 63–75). Routledge. Cleveland, K. (2022). Creepy or Cool? An Exploration of Non-Malicious Deepfakes Through Analysis of Two Case Studies. University of Maryland. De keersmaecker, J. & Roets, A. (2017). ‘Fake News’: Incorrect, But Hard to Correct. The Role of Cognitive Ability on the Impact of False Information on Social Impressions. Intelligence, 65, 107– 110. Online: https://doi.org/10.1016/j.intell.2017.10.005 De Vreese, C. H. & Boomgaarden, H. G. (2006). Media Message Flows and Interpersonal Communication: The Conditional Nature of Effects on Public Opinion. Communication Research, 33(1), 19– 37. Online: https://doi.org/10.1177/0093650205283100 Deas, N., Kowalski, R., Finnell, S., Radovic, E., Carroll, H., Robbins, C., Cook, A., Hurley, K.,Cote, N., Evans, K., Lorenzo, I., Kiser, K., Mochizuki, G., Mock, M. & Brewer, L. (2023). I Just Want to Matter: Examining the Role of Anti-Mattering in Online Suicide Support Communities Using Natural Language Processing. Computers in Human Behavior, 139. Online: https://doi.org/10.1016/j.chb.2022.107499 Domínguez Figaredo, D. & Stoyanovich, J. (2023). Responsible AI Literacy: A Stakeholder-First Approach. Big Data & Society, 10(2). Online: https://doi.org/10.1177/20539517231219958 Drabiak, K., Kyzer, S., Nemov, V. & El Naqa, I. (2023). AI and Machine Learning Ethics, Law, Diversity, and Global Impact. The British Journal of Radiology, 96(1150). Online: https://doi.org/10.1259/bjr.20220934 Egger, R. & Yu, J. (2022). A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts. Frontiers in Sociology, 7. Online: https://doi.org/10.3389/fsoc.2022.886498 Entman, R. M. (1993). Framing: Toward Clarification of a Fractured Paradigm. Journal of Communication, 43(4), 51–58. Online: https://doi.org/10.1111/j.1460-2466.1993.tb01304.x Gamage, D., Ghasiya, P., Bonagiri, V., Whiting, M. E. & Sasahara, K. (2022). Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, USA (pp. 1–19). Online: https://doi.org/10.1145/3491102.3517446 Gamson, W. A. (1992). Talking Politics. Cambridge University Press. Gamson, W. A. & Modigliani, A. (1987). The Changing Culture of Affirmative Action. Research in Political Sociology, 3(1), 137–177. Gamson, W. A. & Modigliani, A. (1989). Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach. American Journal of Sociology, 95(1), 1–37. Online: https://psycnet.apa.org/doi/10.1086/229213 Godulla, A., Hoffmann, C. P. & Seibert, D. (2021). Dealing with Deepfakes – An Interdisciplinary Examination of the State of Research and Implications for Communication Studies. Studies in Communication and Media, 10(1), 72–96. Online: https://doi.org/10.5771/2192-4007-2021-1-72 Górriz, J. M., Álvarez-Illán, I., Álvarez-Marquina, A., Arco, J. E., Atzmueller, M., Ballarini, F., Barakova, E., Bologna, G., Bonomini, P., Castellanos-Dominguez, G., Castillo-Barnes, D., Cho, S. B., Contreras, R., Cuadra, J. M., Domínguez-Mateos, F., Duro, R. J., Elizondo, D., Fernández-Caballero, A., Fernandez-Jover, E. & Ferrández-Vicente, J. M. (2023). Computational Approaches to Explainable Artificial Intelligence: Advances in Theory, Applications and Trends. Information Fusion, 100. Online: https://doi.org/10.1016/j.inffus.2023.101945 Gourlet, P., Ricci, D. & Crépel, M. (2024). Reclaiming Artificial Intelligence Accounts: A Plea for a Participatory Turn in Artificial Intelligence Inquiries. Big Data & Society, 11(2). Online: https://doi.org/10.1177/20539517241248093 Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30(1), 99–120. Online: https://doi.org/10.1007/s11023-020-09517-8 Hancock, J. T. & Bailenson, J. N. (2021). The Social Impact of Deepfakes. Cyberpsychology, Behavior, and Social Networking, 24(3), 149–152. Online: https://doi.org/10.1089/cyber.2021.29208.jth Heidari, A., Jafari Navimipour, N., Dag, H. & Unal, M. (2024). Deepfake Detection Using Deep Learning Methods: A Systematic and Comprehensive Review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(2). Online: https://doi.org/10.1002/widm.1520 Ho, S. S., Scheufele, D. A. & Corley, E. A. (2013). Factors Influencing Public Risk–Benefit Considerations of Nanotechnology: Assessing the Effects of Mass Media, Interpersonal Communication, and Elaborative Processing. Public Understanding of Science, 22(5), 606–623. Online: https://doi.org/10.1177/0963662511417936 Huang, M. H. & Rust, R. T. (2021). A Strategic Framework for Artificial Intelligence in Marketing. Journal of the Academy of Marketing Science, 49, 30–50. Online: https://doi.org/10.1007/s11747-020-00749-9 Kneese, T. (2020, November 2). How Data Can Create Full-On Apparitions of the Dead. Slate. Online: https://slate.com/technology/2020/11/robert-kardashian-joaquin-oliver-deepfakes-death.html Li, S., Xie, Z., Chiu, D. K. & Ho, K. K. (2023). Sentiment Analysis and Topic Modeling Regarding Online Classes on the Reddit Platform: Educators Versus Learners. Applied Sciences, 13(4). Online: https://doi.org/10.3390/app13042250 Li, Y., Su, Z., Yang, J. & Gao, C. (2020). Exploiting Similarities of User Friendship Networks across Social Networks for User Identification. Information Sciences, 506, 78–98. Online: https://doi.org/10.1016/j.ins.2019.08.022 Liu, H. & Priest, S. (2009). Understanding Public Support for Stem Cell Research: Media Communication, Interpersonal Communication and Trust in Key Actors. Public Understanding of Science, 18(6), 704–718. Online: https://doi.org/10.1177/0963662508097625 Lyu, S. (2020). Deepfake Detection: Current Challenges and Next Steps. 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) IEEE. Online: https://doi.org/10.1109/ICMEW46912.2020.9105991 Makarius, E. E., Mukherjee, D., Fox, J. D. & Fox, A. K. (2020). Rising with the Machines: A Sociotechnical Framework for Bringing Artificial Intelligence into the Organization. Journal of Business Research, 120, 262–273. Online: https://doi.org/10.1016/j.jbusres.2020.07.045 Mendonça, M. & Figueira, Á. (2024). Topic Extraction: BERTopic’s Insight into the 117th Congress’s Twitterverse. Informatics, 11(1). Online: https://doi.org/10.3390/informatics11010008 Mustak, M., Salminen, J., Mäntymäki, M., Rahman, A. & Dwivedi, Y. K. (2023). Deepfakes: Deceptions, Mitigations, and Opportunities. Journal of Business Research, 154. Online: https://doi.org/10.1016/j.jbusres.2022.113368 Naitali, A., Ridouani, M., Salahdine, F. & Kaabouch, N. (2023). Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. Computers, 12(10). Online: https://doi.org/10.3390/computers12100216 Natale, S. & Henrickson, L. (2024). The Lovelace Effect: Perceptions of Creativity in Machines. New Media & Society, 26(4), 1909–1926. Online: https://doi.org/10.1177/14614448221077278 Nguyen, H. N. (2023). Evaluation of Transition State Locating Algorithm Based on Artificial Intelligence. Thesis, B.Sc. (Hons.) in Chemistry, University of Prince Edward Island. Nisbet, M. C. (2009). Framing Science: A New Paradigm in Public Engagement. In L. Kahlor & P. Stout (Eds.) Communicating Science: New Agendas in Communication. Routledge. Online: https://doi.org/10.4324/9780203867631-10 Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau D., Brucher, M., Perrot, M. & Duchesnay, É. (2011). Scikit-Learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825–2830. Online: https://doi.org/10.48550/arXiv.1201.0490 Price, V., Nir, L. & Cappella, J. N. (2005). Framing Public Discussion of Gay Civil Unions. Public Opinion Quarterly, 69(2), 179–212. Online: https://doi.org/10.1093/poq/nfi014 Qi, W., Pan, J., Lyu, H. & Luo, J. (2024). Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI Through Social Media Analysis. Telematics and Informatics, 92. Online: https://doi.org/10.1016/j.tele.2024.102158 Reese, S. D. (2001). Framing Public Life: A Bridging Model for Media Research. In S. Reese, O. Gandy & A. Grant (Eds.), Framing Public Life: Perspectives on Media and Our Understanding of the Social World (pp. 7–31). Routledge. Řehůřek, R. & Sojka, P. (2010). Software Framework for Topic Modelling with Large Corpora. Conference: Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, Malta. Online: https://doi.org/10.13140/2.1.2393.1847 Saif, S., Tehseen, S. & Ali, S. S. (2024). Fake News or Real? Detecting Deepfake Videos Using Geometric Facial Structure and Graph Neural Network. Technological Forecasting and Social Change, 205. Online: https://doi.org/10.1016/j.techfore.2024.123471 Scheufele, D. A. (1999). Framing As a Theory of Media Effects. Journal of Communication, 49(1), 103–122. Online: https://doi.org/10.1111/j.1460-2466.1999.tb02784.x Seymour, M., Riemer, K., Yuan, L. & Dennis, A. (2021). Beyond Deep Fakes: Conceptual Framework, Applications, and Research Agenda for Neural Rendering of Realistic Digital Faces. Communications of the ACM, 66( 10), 56–67. Online: https://doi.org/10.1145/3584973 Shen, Q. & Rose, C. (2019). The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit’s Quarantine Policy. In S. T. Roberts, J. Tetreault, V. Prabhakaran, Z. Waseem (Eds.), Proceedings of the Third Workshop on Abusive Language Online (pp. 58–69). Association for Computational Linguistics. Online: https://doi.org/10.18653/v1/W19-3507 Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F. & Koenig, S. (2021). A Differentiated Discussion About AI Education K-12. KI-Künstliche Intelligenz, 35(2), 131–137. Online: https://doi.org/10.1007/s13218-021-00724-8 Stieglitz, S. & Dang-Xuan, L. (2013). Emotions and Information Diffusion in Social Media – Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems, 29(4), 217–248. Online: https://doi.org/10.2753/MIS0742-1222290408 Tan, C. & Lee, L. (2015). All Who Wander: On the Prevalence and Characteristics of Multi-Community Engagement. Proceedings of the 24th International Conference on World Wide Web, Florence, Italy (pp. 1056–1066). Online: https://doi.org/10.1145/2736277.2741661 Tang, W., Bu, H., Zuo, Y. & Wu, J. (2024). Unlocking the Power of the Topic Content in News Headlines: BERTopic for Predicting Chinese Corporate Bond Defaults. Finance Research Letters, 62. Online: https:// doi.org/10.1016/j.frl.2024.105062 Ternovski, J., Kalla, J. & Aronow, P. (2022). The Negative Consequences of Informing Voters about Deepfakes: Evidence from Two Survey Experiments. Journal of Online Trust and Safety, 1(2). Online: https://doi.org/10.54501/jots.v1i2.28 Torresen, J. (2018). A Review of Future and Ethical Perspectives of Robotics and AI. Frontiers in Robotics and AI, 4. Online: https://doi.org/10.3389/frobt.2017.00075 Tricomi, P. P., Nenna, F., Pajola, L., Conti, M. & Gamberini, L. (2023). You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality. IEEE Access, 11, 9859–9875. Online: https://doi.org/10.1109/ACCESS.2023.3240071 Ulnicane, I., Knight, W., Leach, T., Stahl, B. C. & Wanjiku, W. G. (2021). Framing Governance for a Contested Emerging Technology: Insights from AI Policy. Policy and Society, 40(2), 158–177. Online: https://doi.org/10.1080/14494035.2020.1855800 Valkenburg, P. M., Semetko, H. A. & De Vreese, C. H. (1999). The Effects of News Frames on Readers’ Thoughts and Recall. Communication Research, 26(5), 550–569. Online: https://psycnet.apa.org/doi/10.1177/009365099026005002 Walsh, J. P. (1995). Managerial and Organizational Cognition: Notes from a Trip Down Memory Lane. Organization Science, 6(3), 280–321. Online: https://psycnet.apa.org/doi/10.1287/orsc.6.3.280 Wang, B., Rau, P. L. P. & Yuan, T. (2023). Measuring User Competence in Using Artificial Intelligence: Validity and Reliability of Artificial Intelligence Literacy Scale. Behaviour & Information Technology, 42(9), 1324–1337. Online: https://doi.org/10.1080/0144929X.2022.2072768 Wang, S. & Kim, S. (2022). Users’ Emotional and Behavioral Responses to Deepfake Videos of K-Pop Idols. Computers in Human Behavior, 134. Online: https://doi.org/10.1016/j.chb.2022.107305 West, D. M. (2018, May 21). Brookings Survey Finds Worries Over AI Impact on Jobs and Personal Privacy, Concern the U.S. Will Fall Behind China. Brookings Institution. Online: www.brookings.edu/articles/brookings-survey-finds-worries-over-ai-impact-on-jobs-and-personal-privacy-concern-u-s-will-fall-behindchina/ Westerlund, M. (2019). The Emergence of Deepfake Technology: A Review. Technology Innovation Management Review, 9(11), 40–53. Online: https://doi.org/10.22215/timreview/1282 Whittaker, L., Mulcahy, R., Letheren, K., Kietzmann, J. & Russell-Bennett, R. (2023). Mapping the Deepfake Landscape for Innovation: A Multidisciplinary Systematic Review and Future Research Agenda. Technovation, 125(1). Online: http://dx.doi.org/10.1016/j.technovation.2023.102784 Zaller, J. (1992). The Nature and Origins of Mass Opinion. Cambridge University Press. Zeng, C., Jian, Y., Vosoughi, S., Zeng, C. & Zhao, Y. (2023). Evaluating Native-Like Structures of RNA-Protein Complexes Through the Deep Learning Method. Nature Communications, 14(1), 1060. Online: https://doi.org/10.1038/s41467-023-36720-9 Zhang, B. & Dafoe, A. (2019). Artificial Intelligence: American Attitudes and Trends. Online: https://dx.doi.org/10.2139/ssrn.3312874 Zhou, Z., Zhou, X., Chen, Y. & Qi, H. (2024). Evolution of Online Public Opinions on Major Accidents: Implications for Post-Accident Response Based on Social Media Network. Expert Systems with Applications, 235. 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This study investigates the understanding of deepfake, a highly realistic AI mimicry technique that is rapidly evolving to produce increasingly realistic videos and explores the construction of a deepfake framework through the lens of audience communication using framing theory. It identifies three key findings. First, the public discourse on deepfakes forms a concept hierarchy emphasising technology and its entertainment applications, with core concepts including AI, voice, actor and job, while peripheral concerns such as consent and company receive less focus. Second, employing the BERTopic algorithm, latent themes in public discussions were categorised into two dimensions: social dynamics and cultural phenomena. Third, sentiment analysis reveals predominantly neutral or negative attitudes, indicating concerns over the risks and societal impacts of deepfake technology. The deepfakes framework developed here provides a structured approach to understanding these impacts, highlighting the need for ethical considerations in technological development, regulatory measures and public education.

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Funding: This research was supported by the Guangdong Basic and Applied Basic Research Foundation (No. 2023A1515010670).

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Online: https://doi.org/10.1080/15205436.2022.2137040 Bandura, A. (2006). Guide for Constructing Self-Efficacy Scales. In F. Pajares & T. Urdan (Eds.), Self-Efficacy Beliefs of Adolescents (pp. 307–337). Information Age Publishing. Baptista, J. P., Correia, E., Gradim, A. & Piñeiro-Naval, V. (2021). The Influence of Political Ideology on Fake News Belief: The Portuguese Case. Publications, 9(2). Online: https://doi.org/10.3390/publications9020023 Barua, Z., Barua, S., Aktar, S., Kabir, N. & Li, M. (2020). Effects of Misinformation on Covid-19 Individual Responses and Recommendations for Resilience of Disastrous Consequences of Misinformation. Progress in Disaster Science, 8. Online: https://doi.org/10.1016/j.pdisas.2020.100119 Bennett, W. L. & Livingston, S. (2018). The Disinformation Order: Disruptive Communication and the Decline of Democratic Institutions. European Journal of Communication, 33(2), 122–139. Online: https://doi.org/10.1177/0267323118760317 Borah, P. (2022). The Moderating Role of Political Ideology: Need for Cognition, Media Locus of Control, Misinformation Efficacy, and Misperceptions About Covid-19. International Journal of Communication, 16, 3534–3559. Online: https://ijoc.org/index.php/ijoc/article/view/18261/3845 Boulianne, S., Tenove, C. & Buffie, J. (2022). Complicating the Resilience Model: A Four‐Country Study about Misinformation. Media and Communication, 10(3), 169–182. Online: https://doi.org/10.17645/mac.v10i3.5346 Canel, M. J. & Luoma-aho, V. (2019). Public Sector Communication. Closing Gaps Between Citizens and Public Organizations. Wiley-Blackwell. Corbelli, G., Cicirelli, P. G., D’Errico, F. & Paciello, M. (2023). Preventing Prejudice Emerging from Misleading News among Adolescents: The Role of Implicit Activation and Regulatory Self-Efficacy in Dealing with Online Misinformation. Social Sciences, 12(9), 1–15. Online: https://doi.org/10.3390/socsci12090470 Cunliffe-Jones, P., Gaye, S., Gichunge, W., Onumah, C., Pretorius, C. & Schiffrin, A. (2021). The State of Media Literacy in Sub-Saharan Africa 2020 and a Theory of Misinformation Literacy. In P. Cunliffe-Jones, A. Diagne, A. Finlay, S. Gaye, W. Gichunge, C. Onumah, C. Pretorius & A. Schiffrin (Eds.), Misinformation Policy in Sub-Saharan Africa. From Laws and Regulations to Media Literacy (pp. 5–96). University of Westminster Press. Online: https://doi.org/10.16997/book53.a Daunt, K. L., Greer, D. A., Jin, H. S. & Orpen, I. (2023). Who Believes Political Fake News? The Role of Conspiracy Mentality, Patriotism, Perceived Threat to Freedom, Media Literacy and Concern for Disinformation. Internet Research, 33(5), 1849–1870. Online: https://doi.org/10.1108/INTR-07-2022-0565 European Commission (2018). Action Plan against Disinformation. Online: https://eeas.europa.eu/sites/default/files/action_plan_against_disinformation.pdf European Commission (2019a). Eurobarometer 90.3 (2018). GESIS Data Archive, Cologne. ZA7489 Data file Version 1.0.0. Online: https://doi.org/10.4232/1.13254. 10.4232/1.13254 European Commission (2019b). Eurobarometer 91.5 (2019). GESIS Data Archive, Cologne. ZA7576 Data file Version 1.0.0. Online: https://doi.org/10.4232/1.13393. 10.4232/1.13393 European Commission (2020). Eurobarometer 92.3 (2019). GESIS Data Archive, Cologne. ZA7601 Data file Version 1.0.0. Online: https://doi.org/10.4232/1.13564. 10.4232/1.13564 European Commission (2021). Eurobarometer 94.3 (2021). GESIS Data Archive, Cologne. ZA7780 Data file Version 1.0.0. Online: https://doi.org/10.4232/1.13793 European Commission (2022a). Eurobarometer 96.3 (2022). GESIS, Cologne. ZA7848 Data file Version 1.0.0. Online: https://doi.org/10.4232/1.13908. 10.4232/1.13908 European Commission (2022b). The Strengthened Code of Practice on Disinformation. Online: https://digitalstrategy.ec.europa.eu/en/library/2022-strengthened-code-practice-disinformation GESIS (2024). Eurobarometer Bibliography 2024-1. Online: https://bit.ly/4cRls2C Golob, T., Makarovič, M. & Rek, M. (2021). Meta-Reflexivity for Resilience against Disinformation. Comunicar, 29(67), 107–118. Online: https://doi.org/107-118.10.3916/C66-2021-09 Helberger, N. (2020). The Political Power of Platforms: How Current Attempts to Regulate Misinformation Amplify Opinion Power. Digital Journalism, 8(6), 842–854. Online: https://doi.org/10.1080/21670811.2020.1773888 Holland, K., Park, S., McCallum, K., John, E., Fisher, C., McGuinness, K. & Lee, J. Y. (2024). Citizens’ Strategies for Navigating News and Misinformation in the Covid-19 “Infodemic”. International Journal of Communication, 18, 2882–2901. Hopp, T. (2022). Fake News Self-Efficacy, Fake News Identification, and Content Sharing on Facebook. Journal of Information Technology & Politics, 19(2), 229–252. Online: https://doi.org/10.1080/19331681.2021.1962778 Humprecht, E., Esser, F., Van Aelst, P., Staender, A. & Morosoli, S. (2023). The Sharing of Disinformation in Cross-National Comparison: Analyzing Patterns of Resilience. Information, Communication & Society, 26(7), 1342–1362. Online: https://doi.org/10.1080/1369118X.2021.2006744 Humprecht, E., Esser, F. & Van Aelst, P. (2020). Resilience to Online Disinformation: A Framework for Cross-National Comparative Research. The International Journal of Press/Politics, 25(3), 493–516. Online: https://doi.org/10.1177/1940161219900126 Jones-Jang, S., Mortensen, T. & Liu, J. (2021). Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don’t. American Behavioral Scientist, 65(2), 371–388. Online: https://doi.org/10.1177/0002764219869406 Joshi, A., Kale, S., Chandel, S. & Pal, D. K. (2015). Likert Scale: Explored and Explained. Current Journal of Applied Science and Technology, 7(4), 396–403. Online: https://doi.org/10.9734/BJAST/2015/14975 Lee, A. Y., Moore, R. C. & Hancock, J. T. (2024). Building Resilience to Misinformation in Communities of Color: Results from Two Studies of Tailored Digital Media Literacy Interventions. New Media & Society. Online: https://doi.org/10.1177/14614448241227841 Murrock, E., Amulya, J., Druckman, M. & Liubyva, T. (2018). Winning the War on State-Sponsored Propaganda: Results from an Impact Study of a Ukrainian News Media and Information Literacy Program. The Journal of Media Literacy Education, 10(2), 53–85. Online: https://doi.org/10.23860/JMLE-2018-10-2-4 Navarro-Sierra, N., Magro-Vela, S., Vinader-Segura, R. (2024). Research on Disinformation in Academic Studies: Perspectives through a Bibliometric Analysis. Publications, 12(2). Online: https://doi.org/10.3390/publications12020014 Paciello, M., Corbelli, G. & D’Errico, F. (2023). The Role of Self-Efficacy Beliefs in Dealing with Misinformation among Adolescents. Frontiers in Psychology, 14. Online: https://doi.org/10.3389/fpsyg.2023.1155280 Pennycook, G. & Rand, D. G. (2019). Lazy, not Biased: Susceptibility to Partisan Fake News Is Better Explained by Lack of Reasoning than by Motivated Reasoning. Cognition, 188, 39–50. Online: https://doi.org/10.1016/j.cognition.2018.06.011 Potter, W. J. & Thai, C. L. (2019). Reviewing Media Literacy Intervention Studies for Validity. Review of Communication Research, 7, 38–66. Online: https://doi.org/10.12840/ISSN.2255-4165.018 Rodríguez-Pérez, C. & Canel, M. J. (2022). La resiliencia a la desinformación como un recurso intangible asociado a los países. Análisis de España. Estudios Sobre El Mensaje Periodístico, 28(4), 855–865. Online:https://doi.org/10.5209/esmp.82723 Rodríguez-Pérez, C. & Canel, M. J. (2023). Exploring European Citizens’ Resilience to Misinformation: Media Legitimacy and Media Trust as Predictive Variables. Media and Communication, 11(2), 30–41. Online: https://doi.org/10.17645/mac.v11i2.6317 Rodríguez-Pérez, C. & García-Vargas, G. (2021). Understanding Which Factors Promote Exposure to Online Disinformation. In G. López-García, D. Palau-Sampio, B. Palomo, E. Campos-Domínguez & P. Masip (Eds.), Politics of Disinformation. The Influence of Fake News in Public Sphere (pp. 173–186). John Wiley & Sons. Online: https://doi.org/10.1002/9781119743347.ch13 Roozenbeek, J., Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., van der Bles, A. M. & van der Linden, S. (2020). Susceptibility to Misinformation about Covid-19 around the World. Royal Society Open Science, 7(10). Online: https://doi.org/10.1098/rsos.201199 Sádaba, C. & Salaverría, R. (2022). Combatir la desinformación con alfabetización mediática: análisis de las tendencias en la Unión Europea. Revista Latina De Comunicación Social, 81, 17–33. Online: https://doi.org/10.4185/RLCS-2023-1552 Serrano-Puche, J. (2021). Digital Disinformation and Emotions: Exploring the Social Risks of Affective Polarization. International Review of Sociology, 31(2), 231–245. Online: https://doi.org/10.1080/03906701.2021.1947953 Sirlin, N., Epstein, Z., Arechar, A. A. & Rand, D. G. (2021). Digital Literacy and Susceptibility to Misinformation. Harvard Kennedy School (HKS) Misinformation Review, 2(6). Online: https://doi.org/10.37016/mr-2020-83 Staender, A., Humprecht, E., Esser, F., Morosoli, S. & Van Aelst, P. (2022). Is Sensationalist Disinformation More Effective? Three Facilitating Factors at the National, Individual, and Situational Level. Digital Journalism, 10(6), 976–996. Online: https://doi.org/10.1080/21670811.2021.1966315 Stubenvoll, M., Heiss, R. & Matthes, J. (2021). Media Trust Under Threat: Antecedents and Consequences of Misinformation Perceptions on Social Media. International Journal of Communication, 15(22), 2765–2786. Online: https://ijoc.org/index.php/ijoc/article/view/15410 Tenove, C. (2020). Protecting Democracy from Disinformation: Normative Threats and Policy Responses. The International Journal of Press/Politics, 25(3), 517–537. Online: https://doi.org/10.1177/1940161220918740 Tully, M., Madrid-Morales, D., Wasserman, H., Gondwe, G. & Ireri, K. (2022). Who Is Responsible for Stopping the Spread of Misinformation? Examining Audience Perceptions of Responsibilities and Responses in Six Sub-Saharan African Countries. Digital Journalism, 10(5), 679–697. Online: https://doi.org/10.1080/21670811.2021.1965491 Van Zoonen, W., Luoma-aho, V. & Lievonen, M. (2024). Trust but Verify? Examining the Role of Trust in Institutions in the Spread of Unverified Information on Social Media. Computers in Human Behavior, 150. Online: https://doi.org/10.1016/j.chb.2023.107992 Vraga, E. K., Tully, M., Maksl, A., Craft, S. & Ashley, S. (2021). Theorizing News Literacy Behaviors. Communication Theory, 31(1), 1–21. Online: https://doi.org/10.1093/ct/qtaa005 Vraga, E., Tully, M. & Bode, L. (2022). Assessing the Relative Merits of News Literacy and Corrections in Responding to Misinformation on Twitter. New Media & Society, 24(10), 2354–2371. Online: https://doi.org/10.1177/1461444821998691 Xiao, X. & Yang, W. (2024). There’s More to News Media Skepticism: A Path Analysis Examining News Media Literacy, News Media Skepticism and Misinformation Behaviors. Online Information Review, 48(3), 441–456. Online: https://doi.org/10.1108/OIR-04-2023-0172" ["copyrightYear"]=> int(2025) ["issueId"]=> int(611) ["licenseUrl"]=> string(43) "https://creativecommons.org/licenses/by/4.0" ["pub-id::doi"]=> string(19) "10.17646/KOME.of.23" ["abstract"]=> array(1) { ["en_US"]=> string(1257) "

Resilience to misinformation has been conceptualised and defined as an intangible resource belonging to a country, a measure of the capacity of its citizens to deploy discerning and cognitive skills to determine the veracity or falsehood of information, as well as be aware of the degree of the problem. This conceptualisation allows for value to emerge from cross-country and cross-time analyses of data on perceptions of self-efficacy in curbing misinformation. Using data from Eurobarometer, this research conducts analyses at whole-country level, and 1. identifies key components of individuals’ perceptions about their resilience to misinformation; 2. produces a factor with which cross-time observations can be operationalised; 3. shows evolution over time (2018–2022) for European citizens from 27 countries. Overall, results disclose a growing trend, and this is so for both specific individual attitudes and skills, as well as the resulting factor as a whole. The causes and implications of the findings are discussed to provide hints on how to improve public policies, such as taking into account self-perceptions of efficacy in fighting misinformation alongside media literacy strategies that engage citizens in curbing misinformation.

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Funding: This research was supported by the European Education and Culture Executive Agency (EACEA), belonging to the European Commission, Jean Monnet (Erasmus+) “Future of Europe Communication in times of Pandemic Disinformation” (FUTEUDISPAN), Ref: 101083334-JMO-2022-CHAIR. Nevertheless, the authors bear sole responsibility for the content of this article, and the EACEA assumes no liability for the utilisation of the disclosed information. This research was also funded by Universidad de La Sabana (Project code: COMCORP-3-2023 associated with the research group CICCO Centro de Investigaciones de la Comunicación Corporativa Organizacional).

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