Trust and Media: Predicting COVID-19 Conspiracy Theories in Latin America
DOI:
https://doi.org/10.22544/rcps.v44i02.15Keywords:
conspiracy theories, beliefs, trust, COVID-19, disinformation, mediaAbstract
Beliefs in COVID-19 conspiracy have shown to have broad repercussions on the population, primarily because those who adopt such beliefs express attitudes and behaviors based on misinformation and a level of distrust in both governments and scientific societies. Therefore, this study investigates the impact of trust in government, scientific societies, and media consumption on adherence to COVID-19 conspiracy beliefs in Chile, Mexico, and Colombia during the pandemic. With a sample of 2,111 participants surveyed online between December 2020 and April 2021, structural equation models reveal significant findings. Across all three countries, heightened trust in scientific and international societies, along with increased reliance on formal media, correlates with lower adherence to conspiracy beliefs. Additionally, variations exist in the relationship between trust in government and informal media use among the countries. These results illuminate key predictors of conspiracy beliefs in Latin America, providing valuable insights into the contextual factors influencing public perceptions during the unique challenges posed by the pandemic.References
Agley, J., & Xiao, Y. (2021). Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science. BMC Public Health, 21(1), 89. https://doi.org/10.1186/s12889-020-10103-x
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, 22(5), e19458. https://doi.org/10.2196/19458
Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2021). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 51(10), 1763–1769. https://doi.org/10.1017/S003329172000224X
Americas Society & Council of the Americas. (2021). The Coronavirus in Latin America. https://www.as-coa.org/articles/coronavirus-latin-america
Andersen, K. G., Rambaut, A., Lipkin, W. I., Holmes, E. C., & Garry, R. F. (2020). The proximal origin of SARS-CoV-2. Nature Medicine, 26(4), 450–452. https://doi.org/10.1038/s41591-020-0820-9
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet, 395(10228), 931–934. https://doi.org/10.1016/S0140-6736(20)30567-5
Argote, P., Barham, E., Daly, S. Z., Gerez, J. E., Marshall, J., & Pocasangre, O. (2021). The shot, the message, and the messenger: COVID-19 vaccine acceptance in Latin America. Npj Vaccines, 6(1), 118. https://doi.org/10.1038/s41541-021-00380-x
Baeza-Rivera, M. J., Salazar-Fernández, C., Araneda-Leal, L., & Manríquez-Robles, D. (2021). Evidencia longitudinal de la intención y conducta vacunatoria contra el COVID-19: Creencias conspirativas y creencias sobre la efectividad de las vacunas como predictores. Psykhe, 30(2), 1–1. https://doi.org/10.7764/psykhe.2021.SCP41527
Blackman, A., Ibáñez, A. M., Izquierdo, A., Keefer, P., Mesquita Moreira, M., Schady, N., & Serebrisky, T. (2020). La política pública frente al Covid-19: Recomendaciones para América Latina y el Caribe. https://doi.org/10.18235/0002302
Bruns, A., Harrington, S., & Hurcombe, E. (2020). ‘Corona? 5G? or both?’: the dynamics of COVID-19/5G conspiracy theories on Facebook. Media International Australia, 177(1), 12–29. https://doi.org/10.1177/1329878X20946113
Campos-Castillo, C., Woodson, B. W., Theiss-Morse, E., Sacks, T., Fleig-Palmer, M. M., & Peek, M. E. (2016). Examining the Relationship Between Interpersonal and Institutional Trust in Political and Health Care Contexts. In Interdisciplinary Perspectives on Trust (pp. 99–115). Springer International Publishing. https://doi.org/10.1007/978-3-319-22261-5_6
Castro Carvalho, P., Castro de Sousa, P. C., & Feldman Schneider, M. A. (2021). Desinformação na pandemia de Covid-19: similitudes informacionais entre Trump e Bolsonaro. Em Questão, 27(3), 15–41. https://doi.org/10.19132/1808-5245273.15-41
Casero-Ripolles, A. (2020). Impact of Covid-19 on the media system. Communicative and democratic consequences of news consumption during the outbreak. Profesional de La Información, 29(2). https://doi.org/10.3145/epi.2020.mar.23
Castanho Silva, B., Vegetti, F., & Littvay, L. (2017). The Elite Is Up to Something: Exploring the Relation Between Populism and Belief in Conspiracy Theories. Swiss Political Science Review, 23(4), 423–443. https://doi.org/10.1111/spsr.12270
Caycho-Rodríguez, T., Ventura-León, J., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Lobos Rivera, M. E., Buschiazzo Figares, A., Puerta-Cortés, D. X., Corrales-Reyes, I. E., … Petzold, O. (2022). What Is the Support for Conspiracy Beliefs About COVID-19 Vaccines in Latin America? A Prospective Exploratory Study in 13 Countries. Frontiers in Psychology, 13, 855713. https://doi.org/10.3389/fpsyg.2022.855713
De Coninck, D., Frissen, T., Matthijs, K., d’Haenens, L., Lits, G., Champagne-Poirier, O., Carignan, M.-E., David, M. D., Pignard-Cheynel, N., Salerno, S., & Généreux, M. (2021). Beliefs in Conspiracy Theories and Misinformation About COVID-19: Comparative Perspectives on the Role of Anxiety, Depression and Exposure to and Trust in Information Sources. Frontiers in Psychology, 12, 646394. https://doi.org/10.3389/fpsyg.2021.646394
de la Cerda, N., & Martinez-Gallardo, C. (2022). Mexico: A Politically Effective Populist Pandemic Response. In Populists and the Pandemic (pp. 29–43). Routledge.
Douglas, K. M., & Leite, A. C. (2017). Suspicion in the workplace: Organizational conspiracy theories and work-related outcomes. British Journal of Psychology, 108(3), 486–506. https://doi.org/10.1111/bjop.12212
Douglas, K. M., Sutton, R. M., Van Lissa, C. J., Stroebe, W., Kreienkamp, J., Agostini, M., Bélanger, J. J., Gützkow, B., Abakoumkin, G., Khaiyom, J. H. A., Ahmedi, V., Akkas, H., Almenara, C. A., Atta, M., Bagci, S. C., Basel, S., Berisha Kida, E., Bernardo, A. B. I., Buttrick, N. R., … Leander, N. P. (2023). Identifying important individual‐ and country‐level predictors of conspiracy theorizing: A machine learning analysis. European Journal of Social Psychology, 53, 1191–1203. https://doi.org/10.1002/ejsp.2968
Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Ang, C. S., & Deravi, F. (2019). Understanding Conspiracy Theories. Political Psychology, 40(S1), 3–35. https://doi.org/10.1111/pops.12568
Eberl, J.-M., Huber, R. A., & Greussing, E. (2021). From populism to the “plandemic”: why populists believe in COVID-19 conspiracies. Journal of Elections, Public Opinion and Parties, 31(S1), 272–284. https://doi.org/10.1080/17457289.2021.1924730
Filippidou, A., & O’Brien, T. (2020). Trust and distrust in the resolution of protracted social conflicts: the case of Colombia. Behavioral Sciences of Terrorism and Political Aggression, 14(1), 1–21. https://doi.org/10.1080/19434472.2020.1785524
Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466
Freeman, D., Waite, F., Rosebrock, L., Petit, A., Causier, C., East, A., Jenner, L., Teale, A.-L., Carr, L., Mulhall, S., Bold, E., & Lambe, S. (2022). Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England. Psychological Medicine, 52(2), 251–263. https://doi.org/10.1017/S0033291720001890
Henke, J., Holtrup, S., & Möhring, W. (2023). The more, the better? Effects of transparency tools and moderators on the perceived credibility of news articles. Journalism, 24(6), 1301–1321. https://doi.org/10.1177/14648849211060692
Hollander, B. A. (2018). Partisanship, Individual Differences, and News Media Exposure as Predictors of Conspiracy Beliefs. Journalism & Mass Communication Quarterly, 95(3), 691–713. https://doi.org/10.1177/1077699017728919
Hoyle, R. H. (2023). Handbook of structural equation modeling (2nd ed.). Guilford Press.
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. https://doi.org/10.1177/1940161219900126
Imhoff, R., & Lamberty, P. (2020). A Bioweapon or a Hoax? The Link Between Distinct Conspiracy Beliefs About the Coronavirus Disease (COVID-19) Outbreak and Pandemic Behavior. Social Psychological and Personality Science, 11(8), 1110–1118. https://doi.org/10.1177/1948550620934692
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
Islam, M. S., Sarkar, T., Khan, S. H., Kamal, A.-H. M., Hasan, S. M. M., Kabir, A., Yeasmin, D., Islam, M. A., Chowdhury, K. I. A., Anwar, K. S., Chughtai, A. A., & Seale, H. (2020). COVID-19–related infodemic and its impact on public health: A global social media analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621–1629. https://doi.org/10.4269%2Fajtmh.20-0812
Joseph, A. M., Fernandez, V., Kritzman, S., Eaddy, I., Cook, O. M., Lambros, S., Jara Silva, C. E., Arguelles, D., Abraham, C., Dorgham, N., Gilbert, Z. A., Chacko, L., Hirpara, R. J., Mayi, B. S., & Jacobs, R. J. (2022). COVID-19 Misinformation on Social Media: A Scoping Review. Cureus, 14(4), e24601. https://doi.org/10.7759/cureus.24601
Karić, T., & Međedović, J. (2021). Covid-19 conspiracy beliefs and containment-related behaviour: The role of political trust. Personality and Individual Differences, 175, 110697. https://doi.org/10.1016/j.paid.2021.110697
Klopp, E. (2020). A Tutorial on Testing the Equality of Standardized Regression Coefficients in Structural Equation Models using Wald Tests with lavaan. The Quantitative Methods for Psychology, 16(4), 315–333. https://doi.org/10.20982/tqmp.16.4.p315
López-López, W. (2020). La pandemia del coronavirus y las deficiencias de la comunicación científica global. Libro abierto. https://doi.org/10.25012/blog.16.03.2020
Milfont, T. L., & Fischer, R. (2010). Testing measurement invariance across groups: applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–130. https://doi.org/10.21500/20112084.857
Manríquez-Robles, D. (2022). Los desafíos en la cobertura, acceso y calidad de la atención en salud mental durante la pandemia por SARS-CoV-2. Revista Chilena de Salud Pública, 25(2), 257–258. https://doi.org/10.5354/0719-5281.2021.67072
Marchal, N., & Au, H. (2020). “Coronavirus EXPLAINED”: YouTube, COVID-19, and the Socio-Technical Mediation of Expertise. Social Media + Society, 6(3). https://doi.org/10.1177/2056305120948158
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler’s (1999) Findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2
Medina, A. (2020). México invierte 2.5% del PIB en Salud, cuando lo ideal sería 6% (o más):OPS. Forbes. https://www.forbes.com.mx/revista-impresa-mexico-invierte-2-5-del-pib-en-salud-cuando-lo-ideal-seria-6-o-mas-ops/
Miller, J. M., Saunders, K. L., & Farhart, C. E. (2016). Conspiracy Endorsement as Motivated Reasoning: The Moderating Roles of Political Knowledge and Trust. American Journal of Political Science, 60(4), 824–844. https://doi.org/10.1111/ajps.12234
Monsiváis-Carrillo, A. (2023). Happy Winners, Sore Partisans? Political Trust, Partisanship, and the Populist Assault on Electoral Integrity in Mexico. Journal of Politics in Latin America, 15(1), 72–95. https://doi.org/10.1177/1866802X221136147
Murphy, K., McCarthy, M., Sargeant, E., & Williamson, H. (2022). COVID-19 Conspiracies, Trust in Authorities, and Duty to Comply with Social Distancing Restrictions. International Criminology, 2(1), 44–58. https://doi.org/10.1007/s43576-021-00042-x
Muñiz, J., Elosua, P., & Hambleton, R. K. (2013). Directrices para la traducción y adaptación de los tests: segunda edición. Psicothema, 25(2), 151–157. https://doi.org/10.7334/psicothema2013.24
Natoli, E. E., & Marques, M. D. (2021). The antidepressant hoax: Conspiracy theories decrease health‐seeking intentions. British Journal of Social Psychology, 60(3), 902–923. https://doi.org/10.1111/bjso.12426
Oana, I.-E., & Bojar, A. (2023). Populist attitudes, anti-technocratic attitudes, and Covid-related conspiracy beliefs across Europe. Comparative European Politics, 21, 515–534. https://doi.org/10.1057/s41295-023-00331-x
Padilla-Bautista, J. A, Villanueva-Bustamante, M., Montañez, F. B., & Cardenaz- Rodríguez, Z. G. (2023). Medios de comunicación e intención de vacunación durante la pandemia por COVID-19. Informes Psicológicos, 23(2), 217-231. https://doi.org/10.18566/infpsic.v23n2a14
Pagliaro, S., Sacchi, S., Pacilli, M. G., Brambilla, M., Lionetti, F., Bettache, K., Bianchi, M., Biella, M., Bonnot, V., Boza, M., Butera, F., Ceylan-Batur, S., Chong, K., Chopova, T., Crimston, C. R., Álvarez, B., Cuadrado, I., Ellemers, N., Formanowicz, M., … Zubieta, E. (2021). Trust predicts COVID-19 prescribed and discretionary behavioral intentions in 23 countries. PLoS ONE, 16(3), e0248334. https://doi.org/10.1371/journal.pone.0248334
Pan American Health Organization. (2020). Understanding infodemics and misinformation in the fight against COVID-19. https://iris.paho.org/handle/10665.2/52053
Parra Saiani, P., Ivaldi, E., Ciacci, A., & Di Stefano, L. (2024). Broken Trust. Confidence Gaps and Distrust in Latin America. Social Indicators Research, 173, 269–281. https://doi.org/10.1007/s11205-021-02796-3
Pirro, A. L., & Taggart, P. (2023). Populists in power and conspiracy theories. Party Politics, 29(3), 413–423. https://doi.org/10.1177/13540688221077071
Portero, N. (2020). Las redes sociales y la COVID-19: herramientas para la infodemia. bie3: Boletín IEEE, (20), 831–853.
Pulido Rodríguez, C., Villarejo Carballido, B., Redondo-Sama, G., Guo, M., Ramis, M., & Flecha, R. (2020). False news around COVID-19 circulated less on Sina Weibo than on Twitter. How to overcome false information? International and Multidisciplinary Journal of Social Sciences, 9(2), 107–128. https://doi.org/10.17583/rimcis.2020.5386
Pummerer, L., Böhm, R., Lilleholt, L., Winter, K., Zettler, I., & Sassenberg, K. (2022). Conspiracy theories and their societal effects during the COVID-19 pandemic. Social Psychological and Personality Science, 13(1), 49–59. https://doi.org/10.1177/19485506211000217
Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika, 74(1), 145-154. https://doi.org/10.1007/s11336-008-9102-z
Rivera-Baeza, M. J., Salazar-Fernández, C., Araneda-Leal, L., & Manríquez-Robles, D. (2021). To get vaccinated or not? Social psychological factors associated with vaccination intent for COVID-19. Journal of Pacific Rim Psychology, 15, 1–15. https://doi.org/10.1177/18344909211051799
Romer, D., & Jamieson, K. H. (2020). Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S. Social Science & Medicine, 263, 113356. https://doi.org/10.1016/j.socscimed.2020.113356
Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The Media and Technology Usage and Attitudes Scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501–2511. https://doi.org/10.1016/j.chb.2013.06.006
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Version 0.5–12 (BETA). Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
Rovetta, A., & Bhagavathula, A. S. (2020). Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags. Journal of Medical Internet Research, 22(8), e20673. https://doi.org/10.2196/20673
Rutkowski, L., & Svetina, D. (2016). Measurement Invariance in International Surveys: Categorical Indicators and Fit Measure Performance. Applied Measurement in Education, 30(1), 39–51. https://doi.org/10.1080/08957347.2016.1243540
Salazar-Fernández, C., Baeza-Rivera, M. J., & Manríquez-Robles, D. (2022). Escala de creencias hacia las vacunas y hacia la vacuna contra el SARS-CoV-2: evidencia de sus propiedades psicométricas. Revista Médica de Chile, 150(10), 1299-1309. https://doi.org/10.4067/S0034-98872022001001299
Salazar-Fernández, C., Baeza-Rivera, M. J., Manríquez-Robles, D., Salinas-Oñate, N., & Sallam, M. (2023a). From Conspiracy to Hesitancy: The Longitudinal Impact of COVID- 19 Vaccine Conspiracy Theories on Perceived Vaccine Effectiveness. Vaccines, 11(7), 1150. https://doi.org/10.3390/vaccines11071150
Salazar-Fernández, C., Rivera-Baeza, M. J., Salinas-Oñate, N., & Manríquez-Robles, D. (2023b). Should we take care of each other? Enhancing COVID-19 protective behaviors, a study in Chile, Mexico, and Colombia. Journal of Pacific Rim Psychology, 17, 1–15. https://doi.org/10.1177/18344909231181763
Salazar-Fernández, C., Baeza-Rivera, M. J., Manríquez-Robles, D., Aedo, M., & Toro, B. (2023c). Psychosocial Factors Associated with Adherence to Self-care Behaviors to Prevent COVID-19 in Chile. Psykhe, 32(1), 1–21. https://doi.org/10.7764/psykhe.2021.45731
Sallam, M., Dababseh, D., Yaseen, A., Al-Haidar, A., Taim, D., Eid, H., Ababneh, N. A., Bakri, F. G., & Mahafzah, A. (2020). COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan. PLoS ONE, 15(12), e0243264. https://doi.org/10.1371/journal.pone.0243264
Sass, D. A., & Schmitt, T. A. (2013). Testing measurement and structural invariance: Implications for practice. In T. Timothy (Ed.), Handbook of quantitative methods for educational research (pp. 315–345). Brill Sense.
Sass, D. A., Schmitt, T. A., & Marsh, H. W. (2014). Evaluating Model Fit With Ordered Categorical Data Within a Measurement Invariance Framework: A Comparison of Estimators. Structural Equation Modeling: A Multidisciplinary Journal, 21(2), 167–180. https://doi.org/10.1080/10705511.2014.882658
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
Schlipphak, B., Isani, M., & Back, M. D. (2022). Conspiracy Theory Beliefs and Political Trust: The Moderating Role of Political Communication. Politics and Governance, 10(4), 157–167. https://doi.org/10.17645/pag.v10i4.5755
Soper, D. (2023). A-priori sample size calculator for Structural Equation Models. https://www.danielsoper.com/statcalc
Soveri, A., Karlsson, L. C., Antfolk, J., Lindfelt, M., & Lewandowsky, S. (2021). Unwillingness to engage in behaviors that protect against COVID-19: the role of conspiracy beliefs, trust, and endorsement of complementary and alternative medicine. BMC Public Health, 21(1), 684. https://doi.org/10.1186/s12889-021-10643-w
Storopoli, J., Braga da Silva Neto, W. L., & Mesch, G. S. (2020). Confidence in social institutions, perceived vulnerability and the adoption of recommended protective behaviors in Brazil during the COVID-19 pandemic. Social Science & Medicine, 265, 113477. https://doi.org/10.1016/j.socscimed.2020.113477
Syropoulos, S., & Gkinopoulos, T. (2023). Who do we trust? Differences in types of trust and beliefs in conspiracy theories between vaccinated and unvaccinated Europeans across 17 European countries. Social and Personality Psychology Compass, 17, e12792. https://doi.org/10.1111/spc3.12792
van Mulukom, V. (2020). Trust in scientists and non-populist governments supports COVID-19 information and safeguarding behaviors. PsyArXiv, 1–59. https://doi.org/10.31234/osf.io/chy4b
van Mulukom, V. (2022). Engagement in COVID-19 protective behaviours: A complex interaction of trust and information in twelve countries. PsyArXiv.
van Mulukom, V., Pummerer, L. J., Alper, S., Bai, H., Čavojová, V., Farias, J., Kay, C. S., Lazarevic, L. B., Lobato, E. J. C., Marinthe, G., Pavela Banai, I., Šrol, J., & Žeželj, I. (2022). Antecedents and consequences of COVID-19 conspiracy beliefs: A systematic review. Social Science & Medicine, 301, 114912. https://doi.org/10.1016/j.socscimed.2022.114912
van Prooijen, J.-W., & Douglas, K. M. (2017). Conspiracy theories as part of history: The role of societal crisis situations. Memory Studies, 10(3), 323–333. https://doi.org/10.1177/1750698017701615
van Prooijen, J.-W., Spadaro, G., & Wang, H. (2022). Suspicion of institutions: How distrust and conspiracy theories deteriorate social relationships. Current Opinion in Psychology, 43, 65–69. https://doi.org/10.1016/j.copsyc.2021.06.013
Villanueva Bustamante, M., Schleef Bustamante, J., & Padilla Bautista, J. A. (2023). Impacto de las Creencias Conspirativas en la Intención de Vacunación contra el COVID-19 en Adultos Mexicanos. Acta de Investigación Psicológica, 13(2), 55-63. https://doi.org/10.22201/fpsi.20074719e.2023.2.494
World Health Organization. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X
Zeno-Zencovich, V. (2019). What Do We Mean By ‘Media’ Today?. In R. L.Weaver, A. Koltay, M. D. Cole, S. I. Friedland (Eds.), Free Speech and Media Law in the 21st Century (pp. 205-212). Carolina Academic Press. http://dx.doi.org/10.2139/ssrn.3381071
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