Literature DB >> 33428628

"You're still worth it": The moral and relational context of politically motivated unfriending decisions in online networks.

German Neubaum1, Manuel Cargnino1, Stephan Winter2, Shira Dvir-Gvirsman3.   

Abstract

Political disagreements in social media can result in removing (i.e., "unfriending") a person from one's online network. Given that such actions could lead to the (ideological) homogenization of networks, it is pivotal to understand the psychological processes intertwined in unfriending decisions. This requires not only addressing different types of disagreements but also analyzing them in the relational context they occur. This article proposes that political disagreements leading to drastic measures such as unfriending are attributable to more deeply rooted moral dissents. Based on moral foundations theory and relationship regulation research, this work presents empirical evidence from two experiments. In both studies, subjects rated political statements (that violated different moral foundations) with regard to perceived reprehensibility and the likelihood of unfriending the source. Study 1 (N = 721) revealed that moral judgments of a political statement are moderately related to the unfriending decision. Study 2 (N = 822) replicated this finding but indicated that unfriending is less likely when the source of the morally reprehensible statement is relationally close to the unfriender and provides emotional support. This research extends unfriending literature by pointing to morality as a new dimension of analysis and offers initial evidence uncovering the psychological trade-off behind the decision of terminating digital ties. Drawing on this, our findings inform research on the homogenization of online networks by indicating that selective avoidance (in the form of politically motivated unfriending) is conditional upon the relational context and the interpersonal benefits individuals receive therein.

Entities:  

Year:  2021        PMID: 33428628      PMCID: PMC7799818          DOI: 10.1371/journal.pone.0243049

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  12 in total

1.  Real and perceived attitude agreement in social networks.

Authors:  Sharad Goel; Winter Mason; Duncan J Watts
Journal:  J Pers Soc Psychol       Date:  2010-10

2.  Wrongness in different relationships: Relational context effects on moral judgment.

Authors:  Ain Simpson; Simon M Laham; Alan Page Fiske
Journal:  J Soc Psychol       Date:  2016-01-11

Review 3.  The new synthesis in moral psychology.

Authors:  Jonathan Haidt
Journal:  Science       Date:  2007-05-18       Impact factor: 47.728

4.  Liberals and conservatives rely on different sets of moral foundations.

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Journal:  J Pers Soc Psychol       Date:  2009-05

5.  Moral psychology is relationship regulation: moral motives for unity, hierarchy, equality, and proportionality.

Authors:  Tage Shakti Rai; Alan Page Fiske
Journal:  Psychol Rev       Date:  2011-01       Impact factor: 8.934

6.  A new look at social support: a theoretical perspective on thriving through relationships.

Authors:  Brooke C Feeney; Nancy L Collins
Journal:  Pers Soc Psychol Rev       Date:  2014-08-14

7.  Mutual friends' social support and self-disclosure in face-to-face and instant messenger communication.

Authors:  Sabine Trepte; Philipp K Masur; Michael Scharkow
Journal:  J Soc Psychol       Date:  2017-12-26

8.  Mapping the moral domain.

Authors:  Jesse Graham; Brian A Nosek; Jonathan Haidt; Ravi Iyer; Spassena Koleva; Peter H Ditto
Journal:  J Pers Soc Psychol       Date:  2011-08

9.  Adolescents' Reasons to Unfriend on Facebook.

Authors:  Karen Verswijvel; Wannes Heirman; Kris Hardies; Michel Walrave
Journal:  Cyberpsychol Behav Soc Netw       Date:  2018-10

10.  Seeing beyond political affiliations: The mediating role of perceived moral foundations on the partisan similarity-liking effect.

Authors:  Kathryn Bruchmann; Birgit Koopmann-Holm; Aaron Scherer
Journal:  PLoS One       Date:  2018-08-29       Impact factor: 3.240

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  1 in total

1.  A general framework to link theory and empirics in opinion formation models.

Authors:  Ivan V Kozitsin
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.996

  1 in total

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