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Affects in Online Stakeholder Engagement: A Dissensus Perspective

Published online by Cambridge University Press:  09 December 2021

Itziar Castelló
Affiliation:
University of Surrey
David Lopez-Berzosa
Affiliation:
Exeter University
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Abstract

A predominant assumption in studies of deliberative democracy is that stakeholder engagements will lead to rational consensus and to a common discourse on corporate social and environmental responsibilities. Challenging this assumption, we show that conflict is ineradicable and important and that affects constitute the dynamics of change of the discourses of responsibilities. On the basis of an analysis of social media engagements in the context of the grand challenge of plastic pollution, we argue that civil society actors use mobilization strategies with their peers and inclusive-dissensus strategies with corporations to convert them to a new discourse. These strategies use moral affects to blame and shame corporations and solidarity affects to create feelings of identification with the group and to avoid disengagement and polarization. Our research contributes to the literature on deliberative democracy and stakeholder engagement in social media in the collective constructions of discourses on grand challenges.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Business Ethics
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Table 1: Summary of Data Sources and Analysis

Figure 1

Table 2: Key Stakeholders and Their Twitter Identifications

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Table 3: Destructive versus Constructive Tweets

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Table 4: Main Hashtag and Correspondent Actors (@) by Phase and Actor Category

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Table 5: Measures of Interactivity—Constructive versus Destructive

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Table 6: Natural Language Process (NLP) Codes

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Table 7: Engagement Strategies (First-Order Categories, Second-Order Themes, Aggregate Dimensions, and Data Exemplars)

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Table 8: Affective Signals and Interactivity per Strategy

Figure 8

Figure 1: Model of Strategies of Stakeholder Engagement