Offensive and hateful communication or programmed disinformation? An analysis of the characteristics and discourse of the #ExposeBillGates conspiracy event
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First, some electoral processes and then the COVID-19 crisis have brought offensive and dangerous disinformation events in social media into the spotlight. This research analyses an event concerning disinformation and the launch and dissemination of the hashtag #ExposeBillGates, through the 183,016 tweets that used this hashtag during its period of activity in June 2020. Through network analysis and by processing the content of the messages through text mining, it was observed that the size of the event was highly dependent on the participation of a small number of accounts, and some violent and abusive communication was found, although not hate speech. The need to deeply study the relationship between two macro communicative phenomena of a different nature, but more intertwined in their “problematic” origin than may appear, is discussed.
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Jesús C. Aguerri, Postdoctoral researcher. Crímina Centre, Miguel Hernández University of Elche
Postdoctoral researcher (Juan de la Cierva - Formation at the Crímina Centre for the Analysis and Prevention of Crime. Doctorate in Sociology from the University of Zaragoza and has undertaken work concerning sociology in cyberspace and the management of freedom of expression.
Fernando Miró-Llinares, Professor of Criminal Law. Crímina Centre, Miguel Hernández University of Elche
Professor of Criminal Law at the Miguel Hernández University of Elche and director of the Crímina Centre for the Analysis and Prevention of Crime. He was head researcher for multiple national and international projects and is the author of a number of publications of note on the management of discourse on social media, radicalization, and cyberspace.
AHMED, W.; VIDAL-ALABALL, J.; DOWNING, J.; LÓPEZ-SEGUÍ, F. (2020). «COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data». Journal of medical internet research, vol. 22, núm. 5, págs. 1-9. DOI: https://doi.org/10.2196/19458
AGUERRI, J.C.; MOLNAR, L.; MIRÓ-LLINARES, F. (2022, en impresión). «Old crimes reported in new bottles: The disclosure of child sexual abuse on Twitter through the case #MeTooInceste». Social Network Analysis and Mining.
Alto representante de la unión para asuntos exteriores y política de seguridad (2020). «La lucha contra la desinformación acerca de la COVID-19: contrastando los datos» [en línea]. Disponible en: https://bit.ly/3tY4dYu
BALKIN, J. M. (2004). «Digital speech and democratic culture: A theory of freedom of expression for the information society». New York University Law Review, vol. 79, núm. 1, págs. 1-58. DOI: http://dx.doi.org/10.2139/ssrn.470842
BASTIAN, M.; HEYMANN, S.; JACOMY, M. (2009). «Gephi: An Open Source Software for Exploring and Manipulating Networks». En: International AAAI Conference on Web and Social Media [en línea]. Disponible en: https://gephi.org/publications/gephi-bastian-feb09.pdf. [Fecha de consulta: 2 julio de 2021].
BASTOS, M. T.; MERCEA, D. (2017). «The Brexit Botnet and User-Generated Hyperpartisan News». Social Sciences Computer Review, vol. 37, núm. 1. DOI: https://doi.org/10.1177/0894439317734157
BENNETT, W. L.; LIVINGSTON, S. (2018). «The disinformation order: Disruptive communication and the decline of democratic institutions». European Journal of Communication, vol. 33, núm. 2, págs. 122-139. DOI: https://doi.org/10.1177/0267323118760317
BILEWICZ, M.; SORAL, W.; MARCHLEWSKA, M.; WINIEWSKI, M. (2017). «When Authoritarians Confront Prejudice. Differential Effects of SDO and RWA on Support for Hate-Speech Prohibition». Political Psychology, vol. 38, núm. 1, págs. 87-99. DOI: https://doi.org/10.1111/pops.12313
BLONDEL, V. D.; GUILLAUME, J.-L.; LAMBIOTTE, R.; LEFEBVRE, E. (2008). «Fast unfolding of communities in large networks». Journal of Statistical Mechanics: Theory and Experiment, vol. 2008. DOI: https://doi.org/10.1088/1742-5468/2008/10/P10008
BOECKMANN, R. J.; TURPIN-PETROSINO, C. (2002). «Understanding the harm of hate crime». Journal of Social Issues, vol. 58, núm. 2, págs. 207-225. DOI: https://doi.org/10.1111/1540-4560.00257
BRUGGER, W. (2002). «The Treatment of Hate Speech in German Constitutional Law (Part I)». German Law Journal, vol. 3, núm. 12. DOI: https://doi.org/10.1017/S2071832200015698
BOVET, A.; MAKSE, H. A. (2019). «Influence of fake news in Twitter during the 2016 US presidential election». Nature Comunications, vol. 10, núm. 7, págs. 1-14. DOI: https://doi.org/10.1038/s41467-018-07761-2
BROWN, A. (2018). «What is so special about online (as compared to offline) hate speech?». Ethnicities, vol. 18, núm. 3, págs. 297-326. DOI: https://doi.org/10.1177/1468796817709846
CAMMAERTS, B. (2009). «Radical pluralism and free speech in online public spaces The case of North Belgian extreme right discourses». International Journal of Cultural Studies, vol. 12. núm. 6, págs. 555-575. DOI: https://doi.org/10.1177/1367877909342479
COMISIÓN EUROPEA (2018). «The 2022 Code of Practice on Disinformation» [en línea]. Disponible en: https://digital-strategy.ec.europa.eu/en/policies/code-practice-disinformation
COMISIÓN EUROPEA (2018). «Action Plan Against Desinformation» [en línea]. Disponible en: https://www.eeas.europa.eu/node/54866_en
COOK, J.; VAN DER LINDEN, S.; LEWANDOWSKY, S.; ECKER, U. K. H. (2020). «How to spot COVID-19 conspiracy theories». Center for Climate Change Communication, George Mason University [en línea]. Disponible en: https://www.climatechangecommunication.org/how-to-spot-covid19-conspiracy-theories/
ERJAVEC, K.; KOVACIC, M. P. (2012). «“You Don’t Understand, This is a New War!” Analysis of Hate Speech in News Web Sites’ Comments». Mass Communication and Society, vol. 15, núm. 6, págs. 899-920. DOI: https://doi.org/10.1080/15205436.2011.619679
EUROPOL (2020). «Catching the virus cybercrime, disinformation and the COVID-19 pandemic». Europol [en línea]. Disponible en: https://www.europol.europa.eu/publications-events/publications/catching-virus-cybercrime-disinformation-and-covid-19-pandemic
FARKAS, J.; SCHOU, J.; NEUMAYER, C. (2018). «Cloaked Facebook pages: Exploring fake Islamist propaganda in social media». New Media y Society, vol. 20, núm, 5, págs. 1850-1867. DOI: https://doi.org/10.1177/1461444817707759
FONG, A.; ROOZENBEEK, J.; GOLDWERT, D.; RATHJE, S.; VAN DER LINDEN, S. (2021). «The language of conspiracy: A psychological analysis of speech used by conspiracy theorists and their followers on Twitter». Group Processes & Intergroup Relations, vol. 24, núm. 4, págs. 606-623. DOI: https://doi.org/10.1177/1368430220987596
GERRARD, Y. (2018). «Beyond the hashtag: Circumventing content moderation on social media». New Media & Society, vol. 20, núm. 12, págs. 4492-4511. DOI: https://doi.org/10.1177/1461444818776611
GERSTENFELD, M. (2020). «Anti-Jewish Coronavirus Conspiracy Theories in Historical Context». En: Efraim Karsh (ed.). The COVID-19 Crisis: Impacts and Implications. Begin-Sadat Center for Strategic Studies
GOLDSMITH, J.; WU, T. (2006). Who Controls the Internet Illusions of a Borderless World. Oxford: University Press. DOI: https://doi.org/10.1093/oso/9780195152661.001.0001
GOBIERNO DE ESPAÑA (2019). Informe Anual de Seguridad Nacional 2019. Madrid: Ministerio de la Presidencia, Relaciones con las Cortes y Memoria Democrática [en línea]. Disponible en: https://bit.ly/3Aur6p6. [Fecha de consulta: 28 de mayo de 2020].
GÓMEZ-QUINTERO, J.; AGUERRI, J.; GIMENO-MONTERDE, C. (2021). «Representaciones mediáticas de los menores que migran solos: Los MENA en la prensa española». Comunicar, vol. 66, págs. 95-105. DOI: https://doi.org/10.3916/C66-2021-08
GOODMAN, J.; CARMICHAEL, F. (2020, mayo). «Coronavirus: Bill Gates ‘microchip’ conspiracy theory and other vaccine claims fact-checked». BBC News [en línea]. Disponible en: https://bbc.in/39ouo1b
GRAY, C.; HANSEN, K. (2021). «Did Covid-19 Lead to an Increase in Hate Crimes Toward Chinese People in London?». Journal of Contemporary Criminal Justice, vol. 37, núm. 4, págs. 569-588. DOI: https://doi.org/10.1177/10439862211027994
GRINBERG, N.; JOSEPH, K.; FRIEDLAND, L.; SWIRE-THOMPSON, B.; LAZER, D. (2019). «Fake news on Twitter during the 2016 U.S. presidential election». Science, vol. 363, págs. 374-378. DOI: https://doi.org/10.1126/science.aau2706
GRZESIAK-FELDMAN, M. (2013). «The effect of high-anxiety situations on conspiracy thinking». Current Psychology, vol. 32, págs. 100-118. DOI: https://doi.org/10.1007/s12144-013-9165-6
HELDT, A. (2019). «Let’s Meet Halfway: Sharing New Responsibilities in a Digital Age». Journal of Information Policy, vol. 9, págs. 336-369. DOI: https://doi.org/10.5325/jinfopoli.9.2019.0336
INTERPOL (2020). «Cybercrime: COVID-19 impact». Lyon: Interpol [en línea]. Disponible en: https://www.interpol.int/content/download/15526/file/COVID-19%20Cybercrime%20Analysis%20Report-%20August%202020.pdf
JACOBS, J. B.; POTTER, K. A. (1997). «Hate crimes: A critical perspective». En: M. Tonry (ed.). Crime and Justice: a Review of Justice, vol. 22, págs. 1-50. DOI: https://doi.org/10.1086/449259
JACOMY, M.; VENTURINI, T.; HEYMANN, S.; BASTIAN, M. (2014). «ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software». PLoS ONE, vol. 9, núm. 6. DOI: https://doi.org/10.1371/journal.pone.0098679
KEARNEY, M. W. (2019). «rtweet: Collecting and analyzing Twitter data». Journal of Open Source Software, vol. 4, núm. 42. DOI: https://doi.org/10.21105/joss.01829
KLONICK, K. (2018). «The New Governors: The people, rules and processes governing online speech». Harvard Law Review, vol. 131, núm. 6, págs. 598-670 [en línea]. Disponible en: https://bit.ly/39o23If
KOFTA, M; SEDEK, G. (2005). «Conspiracy stereotypes of Jews during systemic transformation in Poland». International Journal of Sociology, vol. 35, págs. 40-64. DOI: https://doi.org/10.1080/00207659.2005.11043142
KUHN, M. (2008). «Building Predictive Models in R Using the caret Package». Journal of Statistical Software, vol. 28, núm. 5. DOI: https://doi.org/10.18637/jss.v028.i05
LAMBIOTTE, R.; DELVENNE, J.C.; BARAHONA, M. (2015). «Laplacian Dynamics and Multiscale Modular Structure in Networks». IEEE Transactions on Network Science and Engineering, vol. 1, núm. 2, págs. 76-90. DOI: https://doi.org/10.48550/arXiv.0812.1770
LAZER, D. et al. (2018). «The science of fake news». Science, vol. 359, núm. 6380, págs. 1094-1096. DOI: https://doi.org/10.1126/science.aao2998
MANIKONDA, L.; BEIGI, G.; LIU, H.; KAMBHAMPATI, S. (2018). «Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media». ArXiv:1803.08022. DOI: https://doi.org/10.48550/arXiv.1803.08022
MATSUDA, M. J. (1989). «Public response to racist speech: Considering the victim’s story». Michigan Law Review, vol. 87, núm. 8. DOI: https://doi.org/10.2307/1289306
MEDDAUGH, P. M.; KAY, J. (2009). «Hate Speech or “Reasonable Racism?” The Other in Stormfront». Journal of Mass Media Ethics, vol. 24, núm. 4, págs. 251-268. DOI: https://doi.org/10.1080/08900520903320936
MIRO-LLINARES, F. (2016). «Taxonomy of violent communication and the discourse of hate on the internet». IDP. Revista de Internet, Derecho y Política, núm. 22, págs. 93-118. DOI: https://doi.org/10.7238/idp.v0i22.2975
MIRÓ-LLINARES, F. (2017). Cometer Delitos en 140 caracteres: El Derecho penal ante el odio y la radicalización en internet. Madrid: Marcial Pons.
MIRÓ-LLINARES, F.,: AGUERRI, J. C. (2021). «Misinformation about fake news: A systematic critical review of empirical studies on the phenomenon and its status as a ‘threat’». European Journal of Criminology, vol. 0, núm. 0. DOI: https://doi.org/10.1177/1477370821994059
MIRÓ-LLINARES, F.; GÓMEZ-BELLVÍS, AB (2020). «Freedom of expression in social media and criminalization of hate speech in Spain: evolution, impact and empirical analysis of normative compliance and self-censorship». Spanish Journal of Legislative Studies, núm. 1, págs. 1-42. DOI: https://doi.org/10.21134/sjls.v0i1.1837
MIRÓ-LLINARES, F.; MONEVA, A.; ESTEVE, M. (2018). «Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments». Crime Sci, vol. 7, núm. 15. DOI: https://doi.org/10.1186/s40163-018-0089-1
OKSANEN, A.; HAWDON, J.; HOLKERI, E.; NASI, M.; RASANEN, P. (2014). «Exposure to online hate among young social media users». Soul of Society: a Focus on the Lives of Children & Youth, vol. 18, págs. 253-273. DOI: https://doi.org/10.1108/s1537-466120140000018021
ORGANICACIÓN DE LAS NACIONES UNIDAS. (2020). United Nations Strategy and Plan of Action on Hate Speech: Detailed Guidance on Implementation for United Nations Field Presence [en línea]. Disponible en: https://www.un.org/en/genocideprevention/documents/UN%20Strategy%20and%20PoA%20on%20Hate%20Speech_Guidance%20on%20Addressing%20in%20field.pdf
PIELEMEIER, J.S. (2020). «Disentangling disinformation: What makes regulating disinformation so difficult?». Utah Law Review, vol. 917 [en línea]. Disponible en: https://bit.ly/3idegoa
R Development Core Team (2018). R: A Language and Environment for Statistical Computing [en línea]. Diponible en: http://softlibre.unizar.es/manuales/aplicaciones/r/fullrefman.pdf. Vienna: R Foundation for Statistical Computing.
ROBINSON, P. H.; DARLEY, J. M. (1995). Justice, Liability, and Blame: Community Views and the Criminal Law. Boulder
SHIMIZU, K. (2020). «2019-nCoV, fake news, and racism». The Lancet, vol. 395, núm. 10225, pág. 685-686. DOI: https://doi.org/10.1016/S0140-6736(20)30357-3
SILGE, J.; ROBINSON, D. (2019). Text Mining with R: A tidy Approach. O´Reilly [en línea]. Disponible en: https://bit.ly/2ST4UjS
VEGA YON, G.; FÁBREGA LACOA, J.; KUNST, J. (2015). rgexf: Build, import and export GEXF graph files [en línea]. Disponible en: https://bit.ly/3CyOQZG
VAN LOO, R. (2017). «Rise of the digital regulator». Duke Law Journal, vol. 66, núm. 6, págs. 1267-1329. DOI: https://bit.ly/39niy7t
VAN PROOIJEN, J. W.; VAN LANGE, P. A. M. (2014). «The social dimension of belief in conspiracy theories». En: van Prooijen, J.-W., van Lange, P. A. M. (eds.). Power, politics, and paranoia: Why people are suspicious of their leaders, págs. 237-253. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139565417.017
WORLD HEALTH ORGANIZATION (2020). «Coronavirus disease 2019 (COVID-19) Situation Report – 45» [en línea]. Disponible en: https://www.who.int/publications/m/item/situation-report---45
WICKHAM, H. et al. (2019). «Welcome to the tidyverse». Journal of Open Source Software, vol. 4, núm. 43. DOI: https://doi.org/10.21105/joss.01686
TANDOC, E. C.; LINM, Z. W.; LING, R. (2017). «Defining “Fake News”: A typology of scholarly definitions». Digital Journalism, vol. 6, núm. 2, págs. 137-153. DOI: https://doi.org/10.1080/21670811.2017.1360143
YBARRA, M. L.; MITCHELL, K. J.; KORCHMAROS, J. D. (2011). «National Trends in Exposure to and Experiences of Violence on the Internet Among Children». Pediatrics, vol. 128, núm. 6, págs. e1376-e1386. DOI: https://doi.org/10.1542/peds.2011-0118
WALDRON, J. (2012). The harm in hate speech. Harvard University Press. DOI: https://doi.org/10.4159/harvard.9780674065086
ZHANG, X.; GHORBANI, A. A. (2020). «An overview of online fake news: Characterization, detection, and discussion». Information Processing and Management, vol. 57, núm. 2, págs. 1-26. DOI: https://doi.org/10.1016/j.ipm.2019.03.004
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