Abstract
Rising US polarization in recent years has negatively impacted many friend and family relationships. To determine the best moral strategies for facilitating cross-party communication, we create an agent-based simulation underpinned by Moral Foundations Theory to model small-group moral conversations where the majority of agents align with either liberal or conservative views. We find, contrary to what moral re-framing research has assumed, that loyalty may be the best moral foundation for facilitating cross-party communication. More research is needed to understand the depolarizing effects of moral arguments in group settings.
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Notes
- 1.
As each observation can be assigned multiple virtues or vices from each annotator, we construct a table of ’virtue’ and ’vice’ probabilities using the annotators’ label distribution, i.e. the percentage of annotations assigned to virtue or vice for each observation. We then calculate the pearson correlation coefficient between virtue/ vice probabilities and 2 binary sentiment variables (positive and negative).
References
Brambilla, M., Leach, C.W.: On the importance of being moral: the distinctive role of morality in social judgment. Soc. Cogn. 32(4), 397 (2014)
Burt, R.S.: Network items and the general social survey. Soc. Netw. 6(4), 293–339 (1984)
Chen, M.K., Rohla, R.: The effect of partisanship and political advertising on close family ties. Science 360(6392), 1020–1024 (2018)
Decety, J., Cowell, J.M.: The complex relation between morality and empathy. Trends Cogn. Sci. 18(7), 337–339 (2014)
Doğruyol, B., Alper, S., Yilmaz, O.: The five-factor model of the moral foundations theory is stable across weird and non-weird cultures. Personality and Individ. Differ. 151, 109547 (2019)
Duffy, K.A., Chartrand, T.L.: From mimicry to morality: the role of prosociality. (2017)
Feinberg, M., Willer, R.: From gulf to bridge: when do moral arguments facilitate political influence? Personality Soc. Psychol. Bull. 41(12), 1665–1681 (2015)
Feinberg, M., Willer, R.: Moral reframing: a technique for effective and persuasive communication across political divides. Soc. Pers. Psychol. Compass 13(12), e12501 (2019)
Friedkin, N.E., Johnsen, E.C.: Social influence and opinions. J. Math. Sociol. 15(3–4), 193–206 (1990)
Frimer, J.A., Skitka, L.J.: Are politically diverse thanksgiving dinners shorter than politically uniform ones? PLoS ONE 15(10), e0239988 (2020)
Gadarian, S.K., Van der Vort, E.: The gag reflex: disgust rhetoric and gay rights in American politics. Polit. Behav. 40(2), 521–543 (2018)
Gervis, Z.: Research reveals how the average American defines a party (2021). https://swnsdigital.com/us/2019/08/research-reveals-how-the-average-american-defines-a-party/
Goleman, D.: Emotional Intelligence: Why It Can Matter More Than IQ. Bloomsbury Publishing (1996)
Graham, J., et al.: Moral foundations theory: the pragmatic validity of moral pluralism. In: Advances in Experimental Social Psychology, vol. 47, pp. 55–130. Elsevier (2013)
Graham, J., Haidt, J., Nosek, B.A.: Liberals and conservatives rely on different sets of moral foundations. J. Pers. Soc. Psychol. 96(5), 1029 (2009)
Habibi, M.N., et al.: Analysis of Indonesia politics polarization before 2019 president election using sentiment analysis and social network analysis. Int. J. Modern Educ. Comput. Sci. 11(11) (2019)
Hoover, J., et al.: Moral foundations twitter corpus: a collection of 35k tweets annotated for moral sentiment. Soc. Psychol. Pers. Sci. 11(8), 1057–1071 (2020)
Hutto, C., Gilbert, E.: Vader: A parsimonious rule-based model for sentiment analysis of social media text. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, pp. 216–225 (2014)
Iachini, T., Pagliaro, S., Ruggiero, G.: Near or far? it depends on my impression: moral information and spatial behavior in virtual interactions. Acta Physiol. (Oxf) 161, 131–136 (2015)
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., Westwood, S.J.: The origins and consequences of affective polarization in the united states. Ann. Rev. Polit. Sci. 22(1), 129–146 (2019)
Menegatti, M., Moscatelli, S., Brambilla, M., Sacchi, S.: The honest mirror: morality as a moderator of spontaneous behavioral mimicry. Eur. J. Soc. Psychol. 50(7), 1394–1405 (2020)
Sanders, A.C., et al.: Unmasking the conversation on masks: natural language processing for topical sentiment analysis of COVID-19 twitter discourse. AMIA Summits Transl. Sci. Proc. 2021, 555 (2021)
Stonedahl, F., Wilensky, U.: NetLogo Virus on a Network Model. Northwestern University, Evanston, IL, Center for Connected Learning and Computer-Based Modeling (2008)
Trager, J., et al.: The moral foundations reddit corpus. arXiv preprint arXiv:2208.05545 (2022)
Acknowledgements
The research for this paper was supported in part by the Office of Naval Research (ONR), MURI: Persuasion, Identity, & Morality in Social-Cyber Environments, and ONR Scalable Tools for Social Media Assessment under grants N000142112749 and N00014-21-1-2229. It was also supported by the center for Informed Democracy and Social-cybersecurity (IDeaS) and the center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University. The views and conclusions are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ONR or the US Government.
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Williams, E.M., Carley, K.M. (2023). Agent-Based Moral Interaction Simulations in Imbalanced Polarized Settings. In: Thomson, R., Al-khateeb, S., Burger, A., Park, P., A. Pyke, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2023. Lecture Notes in Computer Science, vol 14161. Springer, Cham. https://doi.org/10.1007/978-3-031-43129-6_14
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