Patterns and Actors of Disinformation: Analysis of Debunked Hoaxes in Spain in 2022
Copyright (c) 2023 Blanco-Herrero David, Castillo-Abdul Bárbara, Rodríguez Luis Miguel Romero
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
This research examines the patterns followed by disinformation in Spain through the fact-checking activities of Maldita.es, the leading fact-checking organisation in Spain. We sought to answer three research questions: 1. What are the predominant topics of the hoaxes debunked by Maldita.es? 2. Who is responsible for the creation and dissemination of these hoaxes? and 3. In what formats and platforms are these hoaxes generally distributed? For this purpose, we conducted a quantitative content analysis of 729 hoaxes fact-checked in 2022 by Maldito Bulo. 40.7% of the debunked hoaxes were related to social issues, while 37.2% focused on political affairs. Regarding those responsible for the creation and dissemination, most of the hoaxes came from unidentified sources, although when the identity is known, the most frequent contributors are social media accounts, alternative and partisan pseudo-media and journalists. These results explore the general disinformation scenario in Spain, using fact-checking as an approximation and discussing its implications.
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Aïmeur, E. – Amri, S. – Brassard, G. (2023): Fake News, Disinformation and Misinformation in Social Media: A Review. Social Network Analysis and Mining, 13(1). Online: https://doi.org/10.1007/s13278-023-01028-5
Allcott, H. – Gentzkow, M. (2017): Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2), 211–236. Online: https://doi.org/10.1257/jep.31.2.211
Allcott, H. – Gentzkow, M. – Yu, C. (2019): Trends in the Diffusion of Misinformation on Social Media. Research and Politics, 6(2). Online: https://doi.org/10.1177/205316801984855
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. Online: https://doi.org/10.4185/RLCS-2022-1538
Alonso-López, N. – Sidorenko-Bautista, P. – Giacomelli, F. (2021): Beyond Challenges and Viral Dance Moves: TikTok as a Vehicle for Disinformation and Fact-checking in Spain, Portugal, Brazil, and the USA. Anàlisi: Quaderns de Comunicació i Cultura, 64, 65–84. Online: https://doi.org/10.5565/rev/analisi.3411
Amazeen, M. A. (2016): Checking the Fact-Checkers in 2008: Predicting Political Ad Scrutiny and Assessing Consistency. Journal of Political Marketing, 15(4), 433–464. Online: https://doi.org/10.1080/15377857.2014.959691
Amores, J. J. (2022): De la representación al odio. Desarrollo de nuevas estrategias para entender los discursos de odio hacia los migrantes y refugiados: detectando, midiendo y analizando los encuadres visuales, las actitudes y los mensajes de rechazo a la migración. Doctoral Thesis. University of Salamanca. Online: https://gredos.usal.es/handle/10366/150702
Apuke, O. D. – Omar, B. (2021): Fake News and Covid-19: Modelling the Predictors of Fake News Sharing among Social Media Users. Telematics and Informatics, 56. Online: https://doi.org/10.1016/j.tele.2020.101475
Bakir, V. – McStay, A. (2018): Fake News and The Economy of Emotions. Digital Journalism, 6(2), 154–175. Online: https://doi.org/10.1080/21670811.2017.1345645
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
Blanco-Herrero, D. – Amores, J. J. – Sánchez-Holgado, P. (2021): Citizen Perceptions of Fake News in Spain: Socioeconomic, Demographic, and Ideological Differences. Publications, 9(3). Online: https://doi.org/10.3390/publications903003
Blanco-Herrero, D. – Arcila-Calderón, C. (2019): Deontología y noticias falsas: Estudio de las percepciones de periodistas digitales y tradicionales en España. El Profesional de la Información, 28(3). Online: https://doi.org/10.3145/epi.2019.may.08
Bode, L. – Vraga, E. K. (2018): See Something, Say Something: Correction of Global Health Misinformation on Social Media. Health Communication, 33(9), 1131–1140. Online: https://doi.org/10.1080/10410236.2017.1331312
Bovet, A. – Makse, H. A. (2019): Influence of Fake News in Twitter during the 2016 US Presidential Election. Nature Communications, 10(1), 1–4. Online: https://doi.org/10.1038/s41467-018-07761-2
Calvo, D. – Cano-Orón, L. – Llorca-Abad, G. (2022): Desinformación sobre la vacuna de la Covid-19 en YouTube. Análisis de una red de visionado. Communication and Society, 35(2), 223–238. Online: https://doi.org/10.15581/003.35.2.223-238
Ecker, U. K. – O’Reilly, Z. – Reid, J. S. – Chang, E. P. (2019): The Effectiveness of Short‐format Refutational Fact‐checks. British Journal of Psychology, 111(1), 36–54. Online: https://doi.org/10.1111/bjop.12383
European Commission (2023): Standard Eurobarometer 98 – Winter 2022–2023. Online: https://doi.org/10.2775/460956
Evolvi, G. (2018): Hate in a Tweet: Exploring Internet-Based Islamophobic Discourses. Religions, 9(10). Online: https://doi.org/10.3390/rel9100307
Farkas, J. – Schou, J. – Neumayer, C. (2018): Cloaked Facebook Pages: Exploring Fake Islamist Propaganda in Social Media. New Media and Society, 20(5), 1850–1867. Online: https://doi.org/10.1177/1461444817707759
Fernández-Castrillo, C. – Magallón-Rosa, R. (2023): El periodismo especializado ante el obstruccionismo climático. El caso de Maldito Clima. Revista Mediterránea de Comunicación, 14(2), 35–52. Online: https://doi.org/10.14198/MEDCOM.24101
Fridkin, K. – Kenney, P. – Wintersieck, A. (2015): Liar, Liar, Pants on Fire: How Fact-Checking Influences Citizens’ Reactions to Negative Advertising. Political Communication, 32(1), 127–151. Online: https://doi.org/10.1080/10584609.2014.914613
Gamir-Ríos, J. – Tarullo, R. (2022): Características de la desinformación en redes sociales. Estudio comparado de los engaños desmentidos en Argentina y España durante el 2020. Contratexto, 37(037), 203–228. Online: https://doi.org/10.26439/contratexto2022.n037.5343
Garrett, R. K. – Weeks, B. (2013): The Promise and Peril of Real-time Corrections to Political Misperceptions. CSCW ’13: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, 1047–1048. Online: https://doi.org/10.1145/2441776.2441895
Goujard, C. (2023): Elon Musk’s Twitter Fails First EU Disinformation Test. Politico, 09 February 2023. Online: https://www.politico.eu/article/elon-musk-twitter-fails-eu-first-disinformation-test-digitalservices-act/
Grambo, K. (2019): Fake News and Racial, Ethnic, and Religious Minorities: A Precarious Quest for Truth. Journal of Constitutional Law, 21(5), 1299–1345.
Grant, M. (1995): Greek and Roman Historians. Information and Misinformation. London: Routledge.
Graves, L. (2016): Anatomy of a Fact Check: Objective Practice and the Contested Epistemology of Fact Checking. Communication, Culture and Critique, 10(3), 518–537. Online: https://doi.org/10.1111/cccr.12163
Graves, L. – Cherubini, F. (2016): The Rise of Fact-Checking Sites in Europe. Reuters. Institute for the Study of Journalism.
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. Online: https://doi.org/10.1126/science.aau2706
Guess, A. – Nagler, J. – Tucker, J. (2019): Less than You Think: Prevalence and Predictors of Fake News Dissemination on Facebook. Science Advances, 5(1). Online: https://doi.org/10.1126/sciadv.aau4586
Gupta, A. – Li, H. – Farnoush, A. – Jiang, W. (2022): Understanding Patterns of Covid Infodemic: A Systematic and Pragmatic Approach to Curb Fake News. Journal of Business Research, 140, 670–683. Online: https://doi.org/10.1016/j.jbusres.2021.11.032
Gutiérrez-Coba, L. M. – Coba-Gutiérrez, P. – Gómez-Díaz, J. A. (2020): Noticias falsas y desinformación sobre el Covid-19: Análisis comparativo de seis países iberoamericanos. Revista Latina de Comunicación Social, (78), 237–264. Online: https://doi.org/10.4185/RLCS-2020-1476
Hansen, C. – Hansen, Ch. – Alstrup, S. – Grue-Simonsen, J. – Lioma, C. (2019): Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. WWW ’19: Companion Proceedings of The 2019 World Wide Web Conference, 994–1000. Online: https://doi.org/10.1145/3308560.3316736
Hartley, K. – Vu, M. K. (2020): Fighting Fake News in the Covid-19 Era: Policy Insights from an Equilibrium Model. Policy Sciences, 53(4), 735–758. Online: https://doi.org/10.1007/s11077-020-09405-z
Hayes, A. F. – Krippendorff, K. (2007): Answering the Call for a Standard Reliability Measure for Coding Data. Communication Methods and Measures, 1(1), 77–89. Online: https://doi.org/10.1080/19312450709336664
Hickey, D. – Schmitz, M. – Fessler, D. – Smaldino, P. E. – Muric, G. – Burghardt, K. (2023): Auditing Elon Musk’s Impact on Hate Speech and Bots. Proceedings of the 17th International AAAI Conference on Web and Social Media, 1133–1137. Online: https://doi.org/10.1609/icwsm.v17i1.22222
International Advertising Bureau (2023): Estudio de redes sociales 2023. IAB Spain.
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/10.1093/poq/nfs038
Kumar, S. – Shah, N. (2018): False Information on Web and Social Media: A Survey. In Kumar, S. – Qiu, L. (eds.): Social Media Analytics: Advances and Applications. CRC Press. Online: https://doi.org/10.48550/arXiv.1804.08559
Lewandowsky, S. – Ecker, U. K. H. – Seifert, C. M. – Schwarz, N. – Cook, J. (2012): Misinformation and Its Correction: Continued Influence and Successful Debiasing. Psychological Science in the Public Interest, 13(3), 106–131. Online: https://doi.org/10.1177/1529100612451018
López-García, X. – Costa-Sánchez, C. – Vizoso, Á. (2021): Journalistic Fact-Checking of Information in Pandemic: Stakeholders, Hoaxes, and Strategies to Fight Disinformation during the Covid-19 Crisis in Spain. International Journal of Environmental Research and Public Health, 18(3). Online: https://doi.org/10.3390/ijerph18031227
Lotero-Echeverri, G. – Romero-Rodríguez, L. M. – Pérez-Rodríguez, M. A. (2018): ‘Fact-checking’ vs. ‘fake news’: Periodismo de confirmación como recurso de la competencia mediática contra la desinformación [Fact-checking vs. Fake News: Confirmation Journalism as a Tool of Media Literacy against Misinformation]. Index. Comunicación, 8(2), 295–316.
Marietta, M. – Barker, D. C. – Bowser, T. (2015): Fact-Checking Polarized Politics: Does the Fact-Check Industry Provide Consistent Guidance on Disputed Realities? The Forum, 13(4), 577–596. Online: https://doi.org/10.1515/for-2015-0040
Martín García, A. – Buitrago, Á. (2022): Valoración profesional del sector periodístico sobre el efecto de la desinformación y las fake news en el ecosistema mediático. ICONO 14. Revista Científica de Comunicación y Tecnologías Emergentes, 21(1). Online: https://doi.org/10.7195/ri14.v21i1.1933
McBride, K. – Rosenstiel, T. eds. (2013): The New Ethics of Journalism. Principles for the 21st Century. Thousand Oaks: CQ Press.
Molina Cañabate, J. P. – Magallón Rosa, R. (2019): Procedimientos para verificar y desmontar informaciones falsas basadas en el discurso del odio. El caso de Maldita Migración. RAEIC, Revista de la Asociación Española de Investigación de la Comunicación, 6(12), 95–122. Online: https://doi. org/10.24137/raeic.6.12.5
Moreno-Castro, C. – Vengut-Climent, E. – Cano-Orón, L. – Mendoza-Poudereux, I. (2021): Exploratory Study of the Hoaxes Spread via WhatsApp in Spain to Prevent and/or Cure Covid-19 [Estudio exploratorio de los bulos difundidos por WhatsApp en España para prevenir o curar la Covid-19]. Gaceta Sanitaria, 35(6), 534–540. Online: https://doi.org/10.1016/j.gaceta.2020.07.008
Narváez-Llinares, Á. – Pérez-Rufí, J. P. (2022): Fake news y desinformación sobre migración en España: Prácticas del discurso xenófobo en redes sociales y medios online según la plataforma Maldita Migración. Estudios sobre el Mensaje Periodístico, 28(4), 841–854. Online: https://doi.org/10.5209/esmp.82845
Neuendorf, K. A. (2002): The Content Analysis Guidebook. Sage.
Newman, N. – Fletcher, R. – Eddy, K. – Robertson, C. T. – Nielsen, R. K. (2023): Reuters Institute Digital News Report 2023. Reuters Institute for the Study of Journalism. Online: https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2023-06/Digital_News_Report_2023.pdf
Nyhan, B. – Reifler, J. (2010): When Corrections Fail: The Persistence of Political Misperceptions. Political Behavior, 32, 303–330. Online: https://doi.org/10.1007/s11109-010-9112-2
Palau-Sampio, D. (2018): Fact-checking and Scrutiny of Power: Supervision of Public Discourses in New Media Platforms from Latin America. Communication and Society, 31(3), 347–365. Online: https://doi.org/10.15581/003.31.3.347-363
Palau-Sampio, D. – Carratalá, A. (2022): Injecting Disinformation into Public Space: Pseudo-media and Reality-altering Narratives. Profesional de la información, 31(3). Online: https://doi.org/10.3145/epi.2022.may.12
Rogers, R. (2020): Deplatforming: Following Extreme Internet Celebrities to Telegram and Alternative Social Media. European Journal of Communication, 35(3), 213–229. Online: https://doi.org/10.1177/0267323120922066
Romero-Rodríguez, L. M. – Castillo-Abdul, B. – Cuesta-Valiño, P. (2023): The Process of the Transfer of Hate Speech to Demonization and Social Polarization. Politics and Governance, 11(2), 1–5. Online: https://doi.org/10.17645/pag.v11i2.6663
Romero-Rodríguez, L. M. – Tejedor, S. – Pabón Montealegre, M. V. (2021): Actitudes populistas y percepciones de la opinión pública y los medios de comunicación: Estudio correlacional comparado entre España y Colombia [Populist Attitudes and Perceptions of Public Opinion and the Media: A Comparative Correlational Study between Spain and Colombia]. Revista Latina de Comunicación Social, (79), 43–66. Online: https://doi.org/10.4185/RLCS-2021-1507
Romero-Rodríguez, L. M. – Valle Razo, A. L. – Castillo-Abdul, B. (2021): Fake news de humor y sátira y actitudes hacia la política: análisis comparativo del realismo percibido y los sentimientos de eficacia, alienación y cinismo en estudiantes de comunicación [Humour and Satire Fake News and Attitudes towards Politics: Comparative Analysis of Perceived Realism and Feelings of Efficacy, Alienation and Cynicism in Communication Students]. OBETS. Revista de Ciencias Sociales, 16(2), 465–480. Online: https://doi.org/10.14198/OBETS2021.16.2.15
Salaverría, R. – Buslón, N. – López-Pan, F. – León, B. – López-Goñi, I. – Erviti, M.-C. (2020): Desinformación en tiempos de pandemia: Tipología de los bulos sobre la Covid-19. Profesional de la información, 29(3). Online: https://doi.org/10.3145/epi.2020.may.15
Schwarz, K. – Holnburger, J. (2019): Disinformation: What Role Does Disinformation Play for Hate Speech and Extremism on the Internet and What Measures Have Social Media Companies Taken to Combat It? In Baldauf, J. – Ebner, J. – Guhl, J. (eds.): Hate Speech and Radicalisation Online. The OCCI Research Report. 35–43. London: ISD.
Sharma, K. – Qian, F. – Jiang, H. – Rushansky, N. – Zhang, M. – Liu, Y. (2019): Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Transactions on Intelligent Systems and Technology, 10(3), 1–42. Online: https://doi.org/10.1145/3305260
Shin, J. – Thorson, K. (2017): Partisan Selective Sharing: The Biased Diffusion of Fact-checking Messages on Social Media. Journal of Communication, 67(2), 233–255. Online: https://doi.org/10.1111/jcom.12284
Shu, K. – Silva, A. – Wang, S. – Tang, J. – Liu, H. (2017): Fake News Detection on Social Media: A Data Mining Perspective. ACM SIGKDD Explorations Newsletter, 19(1), 22–36. Online: https://doi.org/10.1145/3137597.3137600
Shu, K. – Suhang, W. – Huan, L. (2019): Beyond News Contents: The Role of Social Context for Fake News Detection. WSDM ’19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 312–320. Online: https://doi.org/10.1145/3289600.3290994
Smalley, S. (2023): Misinformation ‘Superspreader’ Engagement Increased 44% on Twitter since Musk Purchase, Study Says. Poynter, 02 March 2023. Online: https://www.poynter.org/fact-checking/2023/twitter-misinformation-increased-elon-musk/
Ufarte-Ruiz, M. J. – Peralta-García, L. – Murcia-Verdú, F. J. (2018): Fact Checking: Un nuevo desafío del periodismo [Fact Checking: A New Challenge in Journalism]. Profesional de la información, 27(4), 733–741. Online: https://doi.org/10.3145/epi.2018.jul.02
Vara, A. – Amoedo, A. – Moreno, E. – Negredo, S. – Kaufmann, J. (2022): Digital News Report España 2022. Servicio de Publicaciones de la Universidad de Navarra. Online: https://doi.org/10.15581/019.2022
Vizoso, A. – Vázquez-Herrero, J. (2019): Fact-checking Platforms in Spanish. Features, Organisation and Method. Communication and Society, 32(1), 127–144. Online: https://doi.org/10.15581/003.32.1.127-144
Vosoughi, S. – Roy, D. – Aral, S. (2018): The Spread of True and False News Online. Science, 359(6380), 1146–1151. Online: https://doi.org/10.1126/science.aap9559
Vraga, E. K. – Bode, L. (2017): I Do Not Believe You: How Providing a Source Corrects Health Misperceptions across Social Media Platforms. Information, Communication and Society, 21(10), 1337–1353. Online: https://doi.org/10.1080/1369118X.2017.1313883
Walter, N. – Cohen, J. – Holbert, R. L. – Morag, Y. (2020): Fact-Checking: A Meta-Analysis of What Works and for Whom. Political Communication, 37(3), 350–375. Online: https://doi.org/10.1080/10584609.2019.1668894
Yang, X. – Li, Y. – Lyu, S. (2019): Exposing Deep Fakes Using Inconsistent Head Poses. ICASSP 2019–2019
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 8261–8265. Online: https://doi.org/10.1109/ICASSP.2019.8683164
Zhang, X. – Karaman, S. – Chang, S. F. (2019): Detecting and Simulating Artifacts in GAN Fake Images. 2019 IEEE International Workshop on Information Forensics and Security (WIFS), 1–6. Online: https://doi.org/10.1109/WIFS47025.2019.9035107