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Ripple/XRP in the Great Reset Conspiracy Theory: Comparative Analysis of Social Media in Poland and Slovenia Cover

Ripple/XRP in the Great Reset Conspiracy Theory: Comparative Analysis of Social Media in Poland and Slovenia

Open Access
|Feb 2025

References

  1. Agh, A. (2022): The Third Wave of Autocratization in East -Central Europe. Journal of Comparative Politics, 15(2): 72–87.
  2. Aoyama, H., Fujiwara, Y., Hidaka, Y. & Ikeda, Y. (2022): Cryptoasset networks: Flows and regular players in Bitcoin and XRP. PLOS ONE, 17(8): 1–23.
  3. Astapova, A., Bergmann, E., Dyrendal, A., Rabo, A., Rasmussen, K. G., Thórisdóttir, H. & Önnerfors, A. (2022): Conspiracy Theories and the Nordic Countries. London, New York: Routledge.
  4. Bakshy, E., Messing, S. & Adamic, L. A. (2015): Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132.
  5. Barkun, M. (2013): A Culture of Conspiracy: Apocalyptic Visions in Contemporary America. Berkeley: University of California Press.
  6. Beck, G. (2022): The Great Reset: Joe Biden and the Rise of Twenty-First -Century Fascism. Nashville: Forefront Books.
  7. Bergmann, E. (2021): The Eurabia Conspiracy Theory. In: Önnerfors, A. & Krouwel, A. (eds.): Europe: Continent of Conspiracies: Conspiracy Theories in and about Europe. New York: Routledge, 36–53.
  8. Best, O. (2023): Wells Fargo Manager Predicts XRP Price Will Reach $500, Here’s When. Bitcoinist, September, <accessed online: https://bitcoinist.com/xrp-price-500/>.
  9. Birchall, C. & Knight, P. (2023): Conspiracy Theories in the Time of COVID-19. London, New York: Routledge.
  10. Brown, E. (2021): How America Went from Mom -And -Pop Capitalism to Techno -Feudalism. AMASS, 25(4), 30–34.
  11. Bruder, M., Haffke, P., Neave, N., Nouripanah, N. & Imhoff, R. (2013): Measuring Individual Differences in Generic Beliefs in Conspiracy Theories Across Cultures: Conspiracy Mentality Questionnaire. Front. Psychol., 4(225).
  12. Buckler, N. (2022): Stellar: The One Global Currency Will Be XLM, Says New Conspiracy Theory. Beincrypto, 27 October, <accessed online: https://beincrypto.com/stellar-the-one-global--currency-xlm-conspiracy-theory/>.
  13. Coghlan, J. (2022): Ripple CTO shuts down ChatGPT’s XRP conspiracy theory. Cointelegraph, 6 December,<accessedonline:https://cointelegraph.com/news/ripple-cto-shuts-down-xrp--conspiracy-theory-from-chatgpt>.
  14. Covell, C. (2021): Cryptocurrency: Politics, Public Policing and Financial Illegality. SSRN, June, <accessed online: https://doi.org/10.2139/ssrn.3863558>.
  15. Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E. & Quattrociocchi, W. (2016): The spreading of misinformation online. Proceedings of the National Academy of Sciences, 113(3), 554–559.
  16. Derousseau, R. (2019): The Everything Guide to Investing in Cryptocurrency: From Bitcoin to Ripple, the Safe and Secure Way to Buy, Trade, and Mine Digital Currencies. New York: Simon and Schuster.
  17. Douglas, K. M., Sutton, R. M. & Cichocka, A. (2017): The Psychology of Conspiracy Theories. Current Directions in Psychological Science, 26(6), 538–542.
  18. 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, 3–35.
  19. Fugger, R. (2004): Money as IOUs in Social Trust Networks & A Proposal for a Decentralized Currency Network Protocol. Kent State University, May, <accessed online: https://www.cs.kent.edu/~javed/class-P2P12F/papers-2012/PAPER2012-p2p-money-ripple-protocol--decentralizedcurrency.pdf>.
  20. Glover, T. D. (2024): Conspiracy Thinking About the 15-Minute City: Something from Nothing. Leisure sciences, 1–21.
  21. Golumbia, D. (2016): The Politics of Bitcoin: Software as Right -Wing Extremism. Minneapolis: University of Minnesota Press.
  22. Haček, M. (2024): (Dis)Trust into Political Institutions and Conspiracy Theories: Case of Slovenia. Journal of Comparative Politics, 17(2), 5–16.
  23. Hitam, N. A., Ismail, A. R. & Saeed, F. (2019): An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting. Procedia Computer Science, 163, 427–433.
  24. Hofstadter, R. (1967): The Paranoid Style in American Politics and Other Essays. New York: Vintage Books.
  25. Ikeda, Y. (2022): Characterization of XRP Crypto -Asset Transactions from Networks Scientific Approach. In: Aruka Y. (eds.): Digital Designs for Money, Markets, and Social Dilemmas. Berlin: Springer Nature, 203–220
  26. Imhoff, R., Bertlich, T. & Frenken, M. (2022): Tearing Apart the ‘Evil’ Twins: A General Conspiracy Mentality Is Not the Same as Specific Conspiracy Beliefs. Current Opinion in Psychology, 46(101349).
  27. Jolley, D., Mari, S. & Douglas, K. M. (2020): Consequences of Conspiracy Theories. In: Butter, M. & Knight, P. (eds.): Routledge Handbook of Conspiracy Theories. London, New York: Routledge, 231–241.
  28. Knight, P. (2000): Conspiracy Culture: From Kennedy to The X Files. London, New York: Routledge.
  29. Kukovič, S. & Just, P. (eds.) (2021): The Rise of Populism in Central and Eastern Europe. Cheltenham: Edward Elgar.
  30. Lewandowsky, S. (2021): Conspiracist cognition: Chaos, convenience, and cause for concern. Journal for Cultural Research, 25(1), 12–35.
  31. Lyons, C. (2023): XRP Poses Major Threat to Big Banks, Says Crypto Exec. Beincrypto, 29 August, <accessedonline:https://beincrypto.com/xrp-threat-to-banks-crypto-exec/>.
  32. Matuszewski, P., Rams -Lugowski, M. & Pawlowski, J. (2024): From Political Treason to the Metaphysical Struggle Between Good and Evil. Levels of Political Conspiracy Theories and Their Consequences for Diffusion. Journal of Comparative Politics, 17(1), 86–104.
  33. Mercola, J. & Cummins, R. (2021): The Truth About COVID-19: Exposing The Great Reset, Lockdowns, Vaccine Passports, and the New Normal. New York: Chelsea Green Publishing.
  34. Micu, R. & Dumitrescu, D. (2022): Study regarding the volatility of main cryptocurrencies. Proceedings of the International Conference on Business Excellence, 16(1), 179–187.
  35. Pennycook, G., Bear, A., Collins, E. T. & Rand, D. G. (2020): The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings. Management Science, 66(11), 4944–4957.
  36. Pennycook, G. & Rand, D. G. (2019): Fighting misinformation on social media using crowdsourced judgments of news source quality. Proceedings of the National Academy of Sciences, 116(7), 2521–2526.
  37. Pilch, I., Turska -Kawa, A., Wardawy, P., Olszanecka-Marmola, A. & Smołkowska -Jędo, W. (2023): Contemporary trends in psychological research on conspiracy beliefs. A systematic review. Front. Psychol., 14(1075779)
  38. Popper, K. (1971): The Open Society and Its Enemies. London, New York: Routledge.
  39. Roma, C. A. & Anwar Hasan, M. (2020): Energy Consumption Analysis of XRP Validator. 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 17 August, <accessed online: https://ieeexplore.ieee.org/document/9169427>.
  40. Rosenblum, N. L. & Muirhead, R. (2019): A Lot of People Are Saying: The New Conspiracism and the Assault on Democracy. In: Rosenblum, N. L. & Muirhead, R. (eds.): A Lot of People Are Saying. Princeton: Princeton University Press.
  41. Roth, S. (2021): The Great Reset. Restratification for lives, livelihoods, and the planet. Technological Forecasting and Social Change, 166(120636).
  42. Salb, M., Zivkovic, M., Bacanin, N., Chhabra, A. & Suresh, M. (2022): Support Vector Machine Performance Improvements for Cryptocurrency Value Forecasting by Enhanced Sine Cosine Algorithm. In: Bansal, J. C., Engelbrecht, A. & Shukla, P. K. (eds.): Computer Vision and Robotics. New York: Springer, 527–536.
  43. Schwab, K. & Malleret, T. (2020): COVID-19: The Great Reset. New York: Forum Publishing.
  44. Seibolt, E. (2022): Ripple XRP: Die größte Krypto -Investmentchance unserer Zeit? Neobooks.
  45. Steves, R. (2022): Is Ripple’s XRP a security and does the SEC believe in its own case theory? Finance Feeds, 19 January, <accessed online: https://financefeeds.com/ripples-xrp-security--sec-believe-case-theory/>.
  46. Sutton, R. M. & Douglas, K. M. (2022): Rabbit Hole Syndrome: Inadvertent, accelerating, and entrenched commitment to conspiracy beliefs. Current Opinion in Psychology, 48(101462).
  47. Szewczyk K. (2021): SQUID GAME w prawdziwym ŻYCIU i WIELKI RESET! Kto naprawdę rządzi ŚWIATEM? – Katarzyna Szewczyk 118. [SQUID GAME in REAL LIFE and THE GREAT RESET! Who really rules the WORLD? – Katarzyna Szewczyk 118]. YouTube, 31 October, <accessed online: https://www.youtube.com/watch?v=xdvucc_YfiQ>.
  48. Šteger, T. (2024): The Analysis of Prevailing Conspiracy Theories in Central and Eastern Europe. Journal of Comparative Politics, 17(1), 69–85.
  49. Tatarczyk, D. & Wojtasik, W. (2022): The Incumbency Advantage during the COVID-19 Pandemic: Examining the 2020 Polish Presidential Election. East European Politics and Societies, 37(2), 608–626.
  50. Vermeule, A. & Sunstein, C. R. (2009): Conspiracy Theories: Causes and Cures. Journal of Political Philosophy, 17(2): 202–227.
  51. Vosoughi, S., Roy, D. & Aral, S. (2018): The spread of true and false news online. Science, 359(6380), 1146–1151.
  52. Walther, S. & McCoy, A. (2021): US Extremism on Telegram: Fueling Disinformation, Conspiracy Theories, and Accelerationism. Perspectives on Terrorism, 15(2), 100–124.
  53. Wardawy -Dudziak, P. (2024): The Political Potential of Conspiracy Theories: the Role of Psychological and Situational Factors. Journal of Comparative Politics, 17(1), 51–68.
  54. Wilser, J. (2023): Why the XRP Army Keeps Fighting. Coindesk, 13 June, <accessed online: https://www.coindesk.com/consensus-magazine/2023/06/13/why-the-xrp-army-keeps-fighting/>.
  55. Wojtasik, W. (2024): Electoral Manipulation in Liberal Democracies. Torun: Adam Marszałek Publishing.
DOI: https://doi.org/10.2478/pce-2024-0025 | Journal eISSN: 2787-9038 | Journal ISSN: 1801-3422
Language: English
Page range: 571 - 587
Published on: Feb 13, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Waldemar Wojtasik, Tine Šteger, published by Metropolitan University Prague
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.