Coherencia narrativa y desinformación: el caso de grupos antivacunas en América Latina
DOI:
https://doi.org/10.22235/d.v38.4014Palabras clave:
desinformación, infodemia, coherencia narrativa, grupos antivacunas, estrategias discursivas, comunicación digital, TelegramResumen
El estudio investiga el papel de las narrativas en la persistencia de las redes de desinformación de grupos antivacunas. Se realizó un análisis de redes y textual de un corpus de 1,271,115 mensajes de Telegram entre 2020 y 2024. El análisis revela la relevancia de la coherencia narrativa en la difusión de desinformación, que trasciende los actores principales de la red. Los resultados apuntan hacia la necesidad de considerar a la desinformación como un producto de las tensiones del ecosistema informativo ante la crisis en las instituciones y sus efectos en las sociedades contemporáneas. Por ello, se propone un abordaje que va más allá de considerarla simplemente como un producto de "actores maliciosos" o un problema de facticidad. De ahí la importancia de considerarla como un fenómeno sistémico desde un enfoque que contemple tanto las relaciones de poder como los contextos culturales situados para su combate.
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Aguilar, M. (2021, 27 de mayo). Después de la controversial marcha en Rosario: Acusaron a la oftalmóloga que niega la pandemia y puede recibir hasta 16 años de cárcel. Clarín. https://www.clarin.com/sociedad/rosario-imputaron-oftalmologo-niega-pandemia-podría-recibir-pena-16-anos-prision_0_scdM9-pXo.html
Aguirre, S. (2021, 12 de agosto). Protestan antivacunas enfrente del Ministerio de Salud con denuncias falsas sobre la pandemia. Animal Político. https://www.animalpolitico.com/2021/08/antivacunas-protestan-salud-dichos-falsos-pandemia/
Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of economic perspectives, 31(2), 211-236.
Almansa-Martínez, A., Fernández-Torres, M. J., & Rodríguez-Fernández, L. (2022). Desinformación en España un año después de la COVID-19. Análisis de las verificaciones de Newtral y Maldita. Revista latina de comunicación social, (80), 183-200. https://doi.org/10.4185/RLCS-2022-1538
Álvarez-Benavides, A., & Jiménez-Aguilar, F. (2020). Communication strategies of the New Spanish Extreme Right. From Social Home to Vox, from Alter-Activism to the Shock Doctrine. Latin American Journal Studies of Peace and Conflict, 1(2), 55-78.
Barabási A., & Bonabeau, E. (2003) Scale-free networks. Scientific American, 288(5), 50-59.
Barfar, A. (2019). Cognitive and affective responses to political disinformation in Facebook. Computers in Human Behavior, 101, 173-179. https://doi.org/10.1016/j.chb.2019.07.026
Bavelas, A. (1948). A Mathematical Model for Group Structures. Human Organization, 7(3), 16-30. https://doi.org/10.17730/humo.7.3.f4033344851gl053
Becker, H. S. (1963). Outsiders: Studies in the Sociology of Deviance. Macmillan.
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. https://doi.org/10.1177/0267323118760317
Bennett, W. L., & Livingston, S. (2021). The Disinformation Age. Cambridge University Press.
Berardi, G., Green, R., & Hammond, B. (2011). Stability, sustainability and catastrophe: Applying resilience thinking to U.S agriculture. Human Ecology Review, 18(2), 115-125.
Bessi, A., Zollo, F., Del Vicario, M., Scala, A., Caldarelli, G., & Quatrrociocchi, W. (2015). Trend of Narratives in the Age of Misinformation. PLoS ONE, 10(8), e134641. https://doi.org/10.1371/journal.pone.0134641
Biernacki P., & Waldorf, D. (1981). Snowball Sampling: Problems and Techniques of Chain Referral Sampling. Sociological Methods and Research, 10(2), 141-163. https://doi.org/10.1177/004912418101000205
Bilandzic, H., & Buselle, R. (2012). Narrative persuasion. En J. Dillard & S. Lijiang (Eds.), The SAGE handbook of persuasion: Developments in theory and practice (pp. 200-219).
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
Bolland, J. M. (1988). Sorting out centrality: An Analysis of the performance of four centrality models in real and simulated networks. Social Networks, 10(3), 233-253. https://doi.org/10.1016/0378-8733(88)90014-7
Bruner, J. (1986). Actual minds, possible worlds. Harvard University Press.
Bruner, J. (1990). Acts of meaning. Harvard University Press.
Burns, N., & Grove, S. K. (2005). The practice of nursing research: conduct, critique, and utilization. Elsevier.
Castells, M. (2009). Comunicación y poder. Alianza.
Chang, C. (2008). Increasing mental health literacy via narrative advertising. Journal of Health Communication, 13(1), 37-55. https://doi:10.1080/10810730701807027
Chatman, S. (1978). Story and Discourse: Narrative Structure in Fiction and Film. Cornell University Press.
Chesney, R., & Citron, D. (2019). Deepfakes and the new disinformation war: The coming age of post-truth geopolitics. Foreign Affairs, 98(1), 147-155.
Clarín (2021a, 15 de diciembre). Protesta intimidante de un grupo antivacunas enfrente a FM opiniones sobre el pase sanitario. Clarín. https://www.clarin.com/sociedad/protesta-intimidatoria-grupo-antivacunas-frente-fm-opiniones-pase-sanitario_0_bK8tnWtmW.html
Clarín (2021b, 10 de diciembre). Momento tenso. Un grupo antivacunas escrachó a Flavio Azarrro a la salida de “Polémica en el bar”. Clarín. https://www.clarin.com/fama/grupo-antivacunas-escracho-flavio-azzaro-salida-polemica-bar-_0_HE-9yxZt9.html
Coleman J. S. (1958). Relational Analysis: The Study of Social Organizations with Survey Methods. Human Organization, 17(4), 28-36. http://www.jstor.org/stable/44124097
Currie, G., & Jureidini, J. (2004). Narrative and Coherence. Mind and Language, 19(4), 409-427.
De Andrade Rodríguez, J., & Gómez Castellanos, S. (2021). La infodemia y su alcance en el área psicoemocional de las familias. Un aporte a la crisis de la salud a propósito del Covid-19. Revista Iberoamericana de Ciencia, Tecnología y Sociedad, 16(46), 67-82.
De Wit, J. B. F., Das, E., & Vet, R. (2008). What works best: Objective statistics or a personal testimonial? An assessment of the persuasive effects of different types of message evidence on risk perception. Health Psychology, 27(1), 110-115. https://doi.org/10.1037/0278-6133.27.1.110
Demonte, F., Bruno, D.P., & Lozano, L.S. (2024). Conversación pública sobre vacunas en la pandemia del covid-19 en Argentina, 2021-2022. Salud Colectiva, 20. https://doi.org/10.18294/sc.2024.4580
Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Siang Ang, C. & Deravi, F. (2019). Understanding Conspiracy Theories. Advances in Political Psychology, 40(1), 1-34.
Dutton W, Reisdorf B, Dubois, E., & Blank, G. (2017) Social Shaping of the Politics of Internet Search and Networking: Moving Beyond Filter Bubbles, Echo Chambers, and Fake News. Quello Center Working Paper, 2944191. https://doi.org/10.2139/ssrn.2944191.
Elinwa, U.K., & Moyo, N. (2018). Post-disaster Housing: A Complex Systems Approach to Social Resilience. Open House International, 43(4), 31-40. https://doi.org/10.1108/OHI-04-2018-B0005
Festinger, L., Riecken, H. W. & Schachter, S. (1956). When Prophecy Fails: A Social and Psychological Study of a Modern Group that Predicted the Destruction of the World. University of Minnesota Press.
Fiske, S. T., & Taylor, S. E. (2013). Social Cognition: from Brains to Culture. SAGE.
Flynn D., Nyhan, B., & Reifler, J. (2017). The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs about Politics. Political Psychology, 38, 03444, 127-150.
Foucault, M. (1970[1969]). La arqueología del saber. Siglo XXI.
Freeman, L.C. (1978). Centrality in Social Networks: Conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
Gallopeni, F., Meha, R., Kadrijaj, E., Maliqi, L., Hoxha, E., Dermaku, B. K., & Isufi, A. (2023). Impact of Infodemic on Older People Mental Health during the COVID-19 Pandemic. International Journal of Gerontology, 17(2), 114-118. https://doi.org/10.6890/IJGE.202304_17(2).0007
Gerber, A. (2021, 27 de mayo). Un nido nazi atrás de la ONG Médicos por la Verdad. La Capital. https://www.lacapital.com.ar/opinion/un-nido-nazi-detras-la-ong-medicos-la-verdad-n2663693.html
Glaser, B.G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine.
Goodman L. A. (1961). Snowball Sampling. Annals of Mathematical Statistics, 32(1), 148-170. https://doi.org/10.1214/aoms/1177705148
Greene, C. M., Nash, R. A., & Murphy, G. (2021). Misremembering Brexit: Partisan bias and Individual Predictors of False Memories for Fake News Stories among Brexit Voters. Memory, 29(5), 587-604.
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019). Fake news on Twitter during the 2016 US presidential election. Science, 363(6425), 374-378.
Hameleers M., Powell T. E., van der Meer G. L. A. & Bos L. (2020). A picture paints a thousand lies? The effects and mechanisms of multimodal disinformation and rebuttals disseminated via social media. Political Communication, 37(2), 281-301. https://doi.org/10.1080/10584609.2019.1674979
Hochschild, A. R. (2016). Strangers in their Own Land : Anger and Mourning on the American Right. The New Press.
Höller, M. (2021). The human component in Social Media and Fake News: the performance of UK opinion leaders on Twitter during the Brexit campaign. European Journal of English Studies, 25(1), 80-95.
Holling, C.S. (1973) Resilience and Stability of Ecological Systems. Annual Review of Ecological Systematics, 4,1-23.
Hoseini, M., Melo, P., Benevenuto, F., Feldmann, A., & Zannettou, S. (2021). On the Globalization of the QAnon Conspiracy Theory Through Telegram. ArXiv. https://doi.org/10.48550/arXiv.2105.13020
Imhoff, R., Lamberty, P., & Klein, O. (2018). Using power as a negative cue: How conspiracy mentality affects epistemic trust in sources of historical knowledge. Personality and Social Psychology Bulletin, 44(9), 1364-1379. https://doi.org/10.1177/0146167218768779
Infobae. (2021, 11 de diciembre). Quiénes son los grupos antivacunas en el Perú y por qué son un peligro para la población que aún duda en inmunizarse. https://www.infobae.com/america/peru/2021/12/1 1/anti-vaxxxers-en-peru-quienes-son-y-por-que-son-un-peligro-para-la-poblacion-que-aun-duda-en-immunrse-covid-19/
Infosalus. (2020, 28 de agosto). Consejo de Médicos abre expediente contra ‘Médicos por la Verdad’ por su negacionismo contra el COVID-19. https://www.infosalus.com/actualidad/noticia-consejo-medicos-abre-expediente-medicos-verdad-negacionismo-contra-covid-19-20200828110229.html
Jack, C. (2017, 9 de agosto). Lexicon of Lies: Terms of Problematic Information. Data & Society Research Institute. https://datasociety.net/output/lexicon-of-lies
Jamison, A. M., Broniatowski, D. A., & Quinn, S. C. (2019). Malicious actors on Twitter: A guide for public health researchers. American Journal of Public Health, 109(5), 688-692.
Jenkins, H. (2006). Convergence Culture: Where Old and New Media Collide. New York University Press.
Jenkins, H., Thorburn, D., & Seawell, B. (2003). Rethinking Media Change: The Aesthetics of Transition. MIT Press.
Johnson, N. F., Velasquez, N., Jha, O.K., Niyazi, H., Leahy., R., Restrepo, N.J., Sear, R., Manrique, P., Lupu, Y., Devkota, P., & Wuchty, S, (2020) Covid-19 infodemic reveals new tipping point epidemiology and a revised R formula. ArXiv. https://doi.org/10.48550/arXiv.2008.08513
Jowett, G.S., & O’Donnell, V. (1986). Propaganda and Persuasion. SAGE.
Krakow, M. M., Yale, R. N., Jensen, J. D., Carcioppolo, N., & Ratcliff, C. L. (2018). Comparing mediational pathways for narrative- and argument-based messages: Believability, counterarguing, and emotional reaction. Human Communication Research, 44(3), 299-321. https://doi.org/10.1093/hcr/hqy002
Krause, R. J., & Rucker, D. D. (2020). Strategic storytelling: When narratives help versus hurt the persuasive power of facts. Personality and Social Psychology Bulletin, 46(2), 216–227. https://doi.org/10.1177/ 0146167219853845
Kress, G., & van Leeuwen, T. (2001). Multimodal Discourse: The Modes and Media of Contemporary Communication. Arnold.
Kreuter, M. W., Green, M. C., Cappella, J. N., Slater, M. D., Wise, M. E., Storey, D., Clark, E.M., O’Keefe, D., Erwin, D. O., Holmes, K., Hinyard, L.J., Houston, T.K. & Woolley, S. (2007). Narrative communication in cancer prevention and control: A framework to guide research and application. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 33(3), 221-235. https://doi.org/10.1080/08836610701357922
Labov, W., & Waletzky, J. (1967). Narrative analysis. En Helm, J. (Ed.). Essays on the Verbal and Visual Arts. University of Washington Press.
Lasswell, H. D. (1927). The Theory of Political Propaganda. The American Political Science Review, 21(3), 627-631. https://doi.org/10.2307/1945515
Latam Chequea. (2021, 29 de agosto). Médicos por la Verdad: una red negacionista con presencia en más de 10 países. Salud con lupa. https://saludconlupa.com/noticias/medicos-por-la-verdad-una-marca-negacionista-con-presencia-en-mas-de-10-paises/
Latinobarómetro. (2023). Informe 2023. La recesión democrática en América Latina. https://www.latinobarometro.org/lat.jsp
Lazer D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyah, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J. & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094-1096.
Lazić, A., & Žeželj, I. (2021). A systematic review of narrative interventions: Lessons for countering anti-vaccination conspiracy theories and misinformation. Public Understanding of Science, 30(6), 644-670. https://doi.org/10.1177/09636625211011881
Lepoutre, M. (2024). Narrative Counterspeech. Political Studies, 72(2), 570-589. https://doi.org/10.1177/00323217221129253
Linvill, D. L., & Warren, P. L. (2020). Troll Factories: Manufacturing Specialized Disinformation on Twitter. Political Communication, 37(4), 447-467. https://doi.org/10.1080/10584609.2020.1718257
MacKenzie, A., & Bhatt, I. (2020). Lies, Bullshit and Fake News. Postdigital Science and Education, 2, 1-8. https://doi.org/10.1007/s42438-019-00085-4
McEnery, T., & Hardie, A. (2012). Corpus Linguistics. Cambridge University Press.
McNair, B. (2017). Fake News. Falsehood, Fabrication and Fantasy in Journalism. Routledge.
Messaris, P. (1997). Visual persuasion: The role of images in advertising. SAGE.
Messaris, P., & Abraham, L. (2001). The role of images in framing news stories. En S.D. Reese, O.H. Gandy & A. E. Grant (Eds.), Framing public life: Perspectives on media and our understanding of the social world (pp. 215-226). Lawrence Erlbaum.
Micheletto, K. (2021, 31 de mayo) Quiénes son y qué hay detrás de los grupos negacionistas de la cuarentena. Página 12. https://www.pagina12.com.ar/344966-quienes-son-y-que-hay-detras-de-los-grupos-negacionistas-de-
Moitra, S., Anderson, A., Eathorne, A., Brickstock, A., Adan, A., Akgün, M., Tabrizi, A.F., Haldar, P., Henderson, L., Jindal, A., Kerger, B., Khadour, F., Melenka, L., Moitra, S., Moitra, T., Mukherjee, R., Murgia, N., Semprini, A., Turner, A., & Lacy, P. (2023). COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study. Journal of Global Health, 13(06045). https://jogh.org/2023/jogh-13-06045
Montes, J. (2022). La desinformación: un arma moderna en tiempos de guerra. Cuadernos de periodistas, (44), 41-48. https://www.cuadernosdeperiodistas.com/la-desinformacion-un-arma-moderna-en-tiempos-de-guerra/
Moya, J., & Goenechea, M. (2022). An Approach to the Unified Conceptualization, Definition, and Characterization of Social Resilience. International Journal of Environmental Research and Public Health, 19(9), 5746. https://doi.org/10.3390/ ijerph19095746
Moyer-Gusé, E., & Nabi, R. (2010). Explaining the effects of narrative in an entertainment television program: Overcoming resistance to persuasion. Human Communication Research, 36(1), 26-52. https:// doi.org/10.1111/j.1468-2958.2009.01367.x
Nieminen, J. (1974). On the centrality in a graph. Scandinavian Journal of Psychology, 15, 332-336. https://doi.org/10.1111/j.1467-9450.1974.tb00598.x
Nogara, G., Pierri, F., Cresci, S., Luceri, L., & Giordano, S. (2024). Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy. ArXiv. https://doi.org/10.48550/arXiv.2402.03763
Organización Mundial de la Salud. (2020, 23 de septiembre). Managing the COVID-19 infodemic: Promoting healthy behaviours and mitigating the harm from misinformation and disinformation. Joint statement by WHO, UN, UNICEF, UNDP, UNESCO, UNAIDS, ITU, UN Global Pulse, and IFRC. https://www.who.int/news/item/23-09-2020-managing-the-covid-19-infodemic-promoting-healthy-behaviours-and-mitigating-the-harm-from-misinformation-and-disinformation
Página 12. (2020, 27 de julio). Coronavirus: los anticuarentena fueron al Obelisco. https://www.pagina12.com.ar/270781-coronavirus-los-anticuarentena-fueron-al-obelisk
Palau-Sampio, D. (2023). Pseudo-Media Disinformation Patterns: Polarised Discourse, Clickbait and Twisted Journalistic Mimicry, Journalism Practice, 17(10), 2140-2158. https://doi.org/10.1080/17512786.2022.2126992
Patterson, M., & Renwick Monroe, K. (1998). Narrative in Political Science. Annual Review of Political Science, 1(1), 315-331.
Paz, E., & Ricaurte, P. (en prensa). Doctors for the Truth: Latin American anti-vaccine oppositional cultures on Telegram. Big Data & Society.
Peeters, S., & Willaert, T. (2022). Telegram and Digital Methods: Mapping Networked Conspiracy Theories through Platform Affordances. M/CJournal, 25(1). https://doi.org/10.5204/mcj.2878
Pérez-Curiel, C. P., & Molpeceres, A. M. V. (2020). Impacto del discurso político en la difusión de bulos sobre Covid-19. Influencia de la desinformación en públicos y medios. Revista latina de comunicación social, (78), 86-119. https://doi.org/10.4185/RLCS-2020-1469
Phelan, J. (1989). Reading People, Reading Plots: Character, Progression, and the Interpretation of Narrative. University of Chicago Press.
Pichihua Vegas, S. P. (2022). Tipología de los contenidos virales de desinformación durante los primeros meses de emergencia sanitaria por la COVID-19 en el Perú. Revista de Comunicación, 21(2), 197-223. https://doi.org/10.26441/RC21.2-2022-A10
Porras, O. (2010). La vacunación en Costa Rica. Acta Médica Costarricense, 52(4), 192-194. https://doi.org/10.51481/amc.v52i4.672
Powell, A., & Williams-Johnson, D. (2023). You dumb cracker b*tch: The legitimizing of White supremacy during a Twitch ban of HasanAbi. New Media & Society, 0(0). https://doi.org/10.1177/14614448231191776
pyTelegramBotAPI. (2021). pyTelegramBotAPI: Python wrapper for the Telegram Bot API [Software]. https://pypi.org/project/pyTelegramBotAPI/
Ramamoorthy, T., Kulothungan, V., & Mappillairaju, B. (2024, 12 de febrero). Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. Frontiers in Artificial Intelligence, 12(7), 1329185. https://doi.org/10.3389/frai.2024.1329185
Reis, J., Benevenuto, F., Vaz-de-Melo, P.O.S., Prates, R., Kwak, H., & An, J. (2015). Breaking the news: first impressions matter on online news. ArXiv. https://doi.org/10.48550/arXiv.1503.07921
Ricaurte, P. (2013). Tan cerca de Twitter y tan lejos de los votantes: las estrategias de los candidatos presidenciales mexicanos durante la campaña electoral de 2012. Versión Estudios de Comunicación y Política, 31,90-104. https://acortar.link/568vLA
Ricoeur, P. (2001). Métafora viva. Cristiandad.
Ríos-González, C.M. (2021). Predisposición para recibir la vacuna contra el COVID-19 en Paraguay: estudio exploratorio online. Medicina Clínica y Social, 5(2), 119-120. https://doi.org/10.52379/mcs.v5i2.189
Rodríguez-Orejuela, A., Montes-Mora, C. L., & Osorio-Andrade, C. F. (2022). Sentimientos hacia la vacunación contra la covid-19: panorama colombiano en Twitter. Palabra Clave, 25(1), e2514.
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.
Rogers, R. (2013). Digital Methods. The MIT Press.
Rogers, R. (2020). Deplatforming: Following extreme Internet celebrities to Telegram and alternative social media. European Journal of Communication, 35(3), 213-229. https://doi.org/10.1177/0267323120922066
Rose, J. (2017). Brexit, Trump, and post-truth politics. Public Integrity, 19(6), 555-558.
Ryan, M.-L. (2001). Narrative as Virtual Reality: Immersion and Interactivity in Literature and Electronic Media. Johns Hopkins University Press.
Salmerón Henríquez, J. A. (2017). Oposición a las vacunas en Chile. Análisis de un caso reciente. Revista Chilena de Derecho, 44(2), 563-573. http://dx.doi.org/10.4067/S0718-34372017000200563
Santos, M., Saldaña, M., & Tsyganova, K. (2021). Subversive affordances as a form of digital transnational activism: The case of Telegram’s native proxy. New Media & Society, 26(1), 131-153. https://doi.org/10.1177/14614448211054830
Scolari, C. A. (2019). Narrativas transmedia, nuevos alfabetismos y prácticas de creación textual: conflictos y tensiones en la nueva ecología de la comunicación. Lectoescritura digital, 45-51.
Scolari, C., Bertetti, P., & Freeman, M. (2014) Transmedia Archeology: Storytelling in the Borderlines of Science Fiction, Comics, Pulp Magazines. Palgrave-Macmillan UK.
Scolari, C.A. (2013). Lostology: Transmedia storytelling and expansion/compression strategies. Semiotica, 195,45-68. https://doi.org/10.1515/sem-2013-0038
Scolfeld, L., Correia, M. & Pina, R. (2021, 19 de diciembre). Médicos y grupos antiaborto en Brasil promueven tratamientos ineficaces contra el COVID-19. Animal Político. https://www.animalpolitico.com/2021/12/medicos-grupos-antiaborto-brasil-tratamientos-ineficaces-covid/
Semino, E., Coltman-Patel, T., Dance, W., Deignan, A., Demjén, Z., Hardaker, C., & Mackey, A. (2023). Narratives, Information and Manifestations of Resistance to Persuasion in Online Discussions of HPV Vaccination. Health Communication, 39(10), 2123-2134. https://doi.org/10.1080/10410236.2023.2257428
Shao, C., Ciampaglia, G., Varol, O., Kai-Cheng, Y., Flammini, A. & Menczer, F. (2018). The spread of low-credibility content by social bots. Nature Communications, 9(1), 4787. https://doi.org/10.1038/s41467-018-06930-7
Shaw, M. E. (1954). Group Structure and the Behavior of Individuals in Small Groups. The Journal of Psychology, 38(1), 139-149. https://doi.org/10.1080/00223980.1954.9712925
Simon, M., Welbers, K., Kroon, A.C., & Trilling, D. (2022). Linked in the dark: A network approach to understanding information flows within the Dutch Telegramsphere. Information, Communication & Society, 26(15), 3054-3078. https://doi.org/10.1080/1369118X.2022.2133549
Sudman, S., & Kalton, G. (1986). New Developments in the Sampling of Special Populations. Annual Review of Sociology, 12, 401-429. https://doi.org/10.1146/annurev.so.12.080186.002153
Sutton, R. M., & Douglas, K.M. (2020) Conspiracy theories and the conspiracy mindset: implications for political ideology. Current Opinion in Behavioral Sciences, 34, 118-122. https://doi.org/10.1016/j.cobeha.2020.02.015
Tandoc, E. C. T. Jr., Lim, Z. W., & Ling, R. (2017). Defining ‘Fake News’. A Typology of Scholarly Definitions. Digital Journalism, 6(3), 1-17.
Telethon. (2021). Python Telegram Client Implementation [Software]. https://pypi.org/project/Telethon/
Thomson, T.J., Angus, D., Dootson, P., Hurcombe, E., & Smith, A. (2022). Visual Mis/disinformation in Journalism and Public Communications: Current Verification Practices, Challenges, and Future Opportunities. Journalism Practice, 16(5), 938-962. https://doi.org/10.1080/17512786.2020.1832139
Todorov, T. (2001). Análisis estructural del relato. Coyoacán.
Ulloa-Gutiérrez, R., Morice-Trejos, A., & Ávila-Agüero, M. L. (2017). El regreso del sarampión. Acta Médica Costarricense, 59(4), 128-129.
Vaccari, C., & Chadwick, A. (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media & Society, 6(1), 1-13. https://doi.org/10.1177/2056305120903408
van Dijck, J., de Winkel, T., & Schäfer, M. T. (2023). Deplatformization and the governance of the platform ecosystem. New Media & Society, 25(12), 3438-3454. https://doi.org/10.1177/14614448211045662
Vargas, L., Emami, P., & Traynor, P. (2020,14 de noviembre). On the detection of disinformation campaign activity with network analysis. Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security Workshop (pp. 133-146). ACM SIGSAC. https://doi.org/10.1145/3411495.3421363
Verjovsky, M., Barreto, M., Carmo, I.,Coutinho, B., Thomer, L., Lifschitz, S. & Jurberg, C. (2023). Political quarrel overshadows vaccination advocacy: How the vaccine debate on Brazilian Twitter was framed by anti-vaxxers during Bolsonaro administration. Vaccine, 41(39), 5715-5721. https://www.sciencedirect.com/science/article/abs/pii/S0264410X23009210
Vessey, R. (2017). Corpus Approaches to Language Ideology. Applied Linguistics, 38(3), 277-296. https://doi.org/10.1093/applin/amv023
Vico, E.A., & Rey, P.R. (2020). Speech, strategies and interactions of Vox on its official Instagram account in the elections of 28-A. Radical right and social networks Latin Magazine of Social Communication, 77, 203-229. https://doi.org/10.4185/RLCS-2020-1455
Waisbord, S. (2018). Truth is What Happens to News. Journalism Studies, 19(13), 1866-1878. https://doi.org/10.1080/1461670X.2018.1492881
Walther, S., & McCoy, A. (2021). US Extremism on Telegram:Fueling Disinformation, Conspiracy Theories, and Accelerationism. Perspectives on Terrorism, 15(2), 100-124.
Wardle, C. (2018). Information Disorder: The Essential Glossary, Shorenstein Center on Media, Politics, and Public Policy. Harvard Kennedy School. firstdraftnews.org/wp-content/uploads/2018/07/infoDisorder_glossary.pdf
Wardle, C., & Derakhshan, H. (2017). Information disorder: toward an interdisciplinary framework for research and policymaking. Council of Europe. https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
Wilder, B., & Vorobeychik, Y. (2019). Defending elections against malicious spread of misinformation. Proceedings of the AAAI conference on artificial intelligence, 33(01), 2213-2220.
Willaert, T., & Sessa, M. G. (2022, 29 de abril). From Infodemic to Information War (EDMO BELUX Investigative report): A contextualization of current narrative trends and evolutions in Dutch-language disinformation communities. Brussels School of Governance. https://researchportal.vub.be/en/publications/from-infodemic-to-information-war-edmo-belux-investigative-report
Wilson, T., & Starbird, K. (2020) Cross-Platform Disinformation Campaigns: Lessons Learned and Next Steps. Harvard Kennedy School Misinformation Review, 1(1). https://doi.org/10.37016/mr-2020-002
Yang, L., Qi, L., & Zhang, B. (2022). Concepts and evaluation of saturation in qualitative research. Advances in Psychological Science, 30(3), 511-521. https://journal.psych.ac.cn/xlkxjz/EN/Y2022/V30/I3/511
Yang, S., & Zhang, H. (2018). Text Mining of Twitter Data Using a Latent Dirichlet Allocation Topic Model and Sentiment Analysis. World Academy of Science, Engineering and Technology. International Journal of Computer and Information Engineering, 12(7), 525-529.
Zelenkauskaité, A. (2022). Creating Chaos Online. Disinformation and Subverted publics. University of Michigan Press.
Zhou, X., & Zafarani, R. (2018). Fake news: a survey of research, detection methods, and opportunities. ArXiv. https://doi.org/10.1145/3395046
Zillmann, D. (2009). Exemplification theory: judging the whole by some of its parts. Media Psychology,1(1), 69-94. doi:10.1207/s1532785xmep0101_5
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