Hiding opinions by minimizing disclosed information: an obfuscation-based opinion dynamics model

References

• Acemoglu, D., Dahleh, M. A., Lobel, I., & Ozdaglar, A. (2011). Bayesian learning in social networks. The Review of Economic Studies, 78(4), 1201–1236. https://doi.org/10.1093/restud/rdr004
   Web of Science ®Google Scholar
• Bjerring, J. C., Hansen, J. U., & Pedersen, N. J. L. L. (2014). On the rationality of pluralistic ignorance. Synthese, 191(11), 2445–2470. https://doi.org/10.1007/s11229-014-0434-1
   Web of Science ®Google Scholar
• Blume, A., & Board, O. (2014). Intentional vagueness. Erkenntnis, 79(4), 855–899. https://doi.org/10.1007/s10670-013-9468-x
   Google Scholar
• Brunton, F., & Nissenbaum, H. (2015). Obfuscation: A user’s guide for privacy and protest. The MIT Press.
   Google Scholar
• Castelfranchi, C., & Tan, Y. H. (Eds.). (2001). Trust and deception in virtual societies. Kluwer.
   Google Scholar
• Çelen, B., & Kariv, S. (2004). Observational learning under imperfect information. Games and Economic Behavior, 47(1), 72–86. https://doi.org/10.1016/S0899-8256(03)00179-9
   Web of Science ®Google Scholar
• Centola, D., Willer, R., & Macy, M. (2005). The emperor’s dilemma: A computational model of self-enforcing norms. American Journal of Sociology, 110(4), 1009–1040. https://doi.org/10.1086/427321
   Web of Science ®Google Scholar
• Chorus, C., Van Cranenburgh, S., Daniel, A. M., Sandorf, E. D., Sobhani, A., & Szép, T. (2020). Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. Mathematical Social Sciences, 109, 28–44. https://doi.org/10.1016/j.mathsocsci.2020.10.002
   Web of Science ®Google Scholar
• Davis, R. C. (2019). Obfuscating authorship: Results of a user study on nondescript, a digital privacy tool [working paper]. CUNY Academic Works.
   Google Scholar
• De Jaegher, K. (2003). A game-theoretic rationale for vagueness. Linguistics and Philosophy, 26(5), 637–659. https://doi.org/10.1023/A:1025853728992
   Web of Science ®Google Scholar
• Dewan, T., & Myatt, D. P. (2008). The qualities of leadership: Direction, communication, and obfuscation. In American political science review 102(3)(pp. 351–368). doi:10.1017/S0003055408080234
   Google Scholar
• Doyle, T. (2018). Privacy, obfuscation, and propertization. IFLA Journal, 44(3), 229–239. https://doi.org/10.1177/0340035218778054
   Google Scholar
• Eisenberg, E. M. (1984). Ambiguity as strategy in organizational communication. Communication Monographs, 51(3), 227–242. https://doi.org/10.1080/03637758409390197
   Web of Science ®Google Scholar
• Fan, K., & Pedrycz, W. (2015). Emergence and spread of extremist opinions. Physica A: Statistical Mechanics and Its Applications, 436, 87–97. https://doi.org/10.1016/j.physa.2015.05.056
   Web of Science ®Google Scholar
• Fan, K., & Pedrycz, W. (2016). Opinion evolution influenced by informed agents. Physica A: Statistical Mechanics and Its Applications, 462, 431–441. https://doi.org/10.1016/j.physa.2016.06.110
   Web of Science ®Google Scholar
• Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., & Lorenz, J. (2017). Models of social influence: Towards the next frontiers. Journal of Artificial Societies and Social Simulation, 20(4), 4. https://doi.org/10.18564/jasss.3521
   Web of Science ®Google Scholar
• Gale, D., & Kariv, S. (2003). Bayesian learning in social networks. Games and Economic Behavior, 45(2), 329–346. https://doi.org/10.1016/S0899-8256(03)00144-1
   Web of Science ®Google Scholar
• Gawronski, P., Nawojczyk, M., & Kulakowski, K. (2014). Opinion formation in an open system and the spiral of silence. arXiv Preprint arXiv:1407.2742.
   Google Scholar
• Golub, B., & Sadler, E. (2016). Learning in social networks. In A. Galeotti & B. W. Roger (Eds.), The oxford handbook of the economics of networks (pp. 504–542). Oxford University Press.
   Google Scholar
• Golub, B., & Jackson, M. O. (2010). Naive learning in social networks and the wisdom of crowds. American Economic Journal: Microeconomics, 2(1), 112–149. doi:10.1257/mic.2.1.112.
   Web of Science ®Google Scholar
• Grandi, U., Lorini, E., Novaro, A., & Perrussel, L. (2017). Strategic disclosure of opinions on a social network. In Proceedings of the 16th conference on autonomous agents and multi agent systems (pp. 1196–1204). Sao Paulo, Brazil.
   Google Scholar
• Hansen, J. U. (2012). A logic-based approach to pluralistic ignorance. In J. D. Vuyst & L. Demey (Eds.), Future directions for logic—proceedings of PhDs in Logic III (pp. 67–80). College Publications.
   Google Scholar
• Jadbabaie, A., Molavi, P., Sandroni, A., & Tahbaz-Salehi, A. (2012). Non-Bayesian social learning. Games and Economic Behavior, 76(1), 210–225. https://doi.org/10.1016/j.geb.2012.06.001
   Web of Science ®Google Scholar
• Krapivsky, P. L., Redner, S., & Ben-Naim, E. (2010). A kinetic view of statistical physics. Cambridge University Press.
   Google Scholar
• Lobel, I., Acemoglu, D., Dahleh, M., & Ozdaglar, A. (2009). Rate of convergence of learning in social networks. In Proceedings of the American Control Conference (pp. 2825–2830), St. Louis, MO, USA.
   Google Scholar
• Miller, D. T., & McFarland, C. (1987). Pluralistic ignorance: When similarity is interpreted as dissimilarity. Journal of Personality and Social Psychology, 53(2), 298. https://doi.org/10.1037/0022-3514.53.2.298
   Web of Science ®Google Scholar
• Mitsutsuji, K., & Yamakage, S. (2020). The dual attitudinal dynamics of public opinion: An agent-based reformulation of LF Richardson’s war-moods model. Quality & Quantity, 54(2), 439–461. https://doi.org/10.1007/s11135-019-00938-x
   Google Scholar
• Mossel, E., Olsman, N., & Tamuz, O. (2016). Efficient bayesian learning in social networks with gaussian estimators. In 54th annual allerton conference on communication, control, and computing (allerton) (pp. 425–432). IEEE, Monticello, IL, USA.
   Google Scholar
• Noelle-Neumann, E. (1974). The spiral of silence a theory of public opinion. Journal of Communication, 24(2), 43–51. https://doi.org/10.1111/j.1460-2466.1974.tb00367.x
   Web of Science ®Google Scholar
• Ross, B., Pilz, L., Cabrera, B., Brachten, F., Neubaum, G., & Stieglitz, S. (2019). Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks. European Journal of Information Systems, 28(4), 394–412. https://doi.org/10.1080/0960085X.2018.1560920
   Web of Science ®Google Scholar
• Rossman, G. (2014). Obfuscatory relational work and disreputable exchange. Sociological Theory, 32(1), 43–63. https://doi.org/10.1177/0735275114523418
   Web of Science ®Google Scholar
• Schilke, O., & Rossman, G. (2018). It’s only wrong if it’s transactional: Moral perceptions of obfuscated exchange. American Sociological Review, 83(6), 1079–1107. https://doi.org/10.1177/0003122418806284
   Web of Science ®Google Scholar
• Serra-Garcia, M., Van Damme, E., & Potters, J. (2011). Hiding an inconvenient truth: Lies and vagueness. Games and Economic Behavior, 73(1), 244–261. https://doi.org/10.1016/j.geb.2011.01.007
   Web of Science ®Google Scholar
• Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
   Google Scholar
• Sohn, D. (2019). Spiral of silence in the social media era: A simulation approach to the interplay between social networks and mass media. In Communication Research . https://doi.org/10.1177/0093650219856510
   Google Scholar
• Sohn, D., & Geidner, N. (2016). Collective dynamics of the spiral of silence: The role of ego-network size. International Journal of Public Opinion Research, 28(1), 25–45. https://doi.org/10.1093/ijpor/edv005
   Web of Science ®Google Scholar
• Takeuchi, D., Tanaka, G., Fujie, R., & Suzuki, H. (2015). Public opinion formation with the spiral of silence on complex social networks. Nonlinear Theory and Its Applications, IEICE, 6(1), 15–25. https://doi.org/10.1587/nolta.6.15.
   Google Scholar
• Tang, T., & Chorus, C. G. (2019). Learning opinions by observing actions: Simulation of opinion dynamics using an action-opinion inference model. Journal of Artificial Societies and Social Simulation, 22(3), 3. https://doi.org/10.18564/jasss.4020
   Web of Science ®Google Scholar
• Wherry, F. F., Seefeldt, K. S., & Alvarez, A. S. (2019). To lend or not to lend to friends and kin: Awkwardness, obfuscation, and negative reciprocity. Social Forces, 98(2), 753–793. doi: 10.1093/sf/soy127
   Web of Science ®Google Scholar
• You, I., & Yim, K. (2010). Malware obfuscation techniques: A brief survey. In 2010 international conference on broadband, wireless computing, Communication and Applications, 297–300. Fukuoka, Japan
   Google Scholar