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利用社会影响力建模减少社会-生态冲突。

Reducing socio-ecological conflict using social influence modelling.

机构信息

Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.

Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia.

出版信息

Sci Rep. 2022 Dec 20;12(1):22002. doi: 10.1038/s41598-022-26570-8.

Abstract

Polarisation of opinions across communities can lead to social conflict, reputational damage and the disruption of operations and markets. Social influence models have been widely used to better understand processes driving conflict from a theoretical perspective. Using aquaculture as a case study, we demonstrate how such models can be extended to accurately hindcast the transition from population consensus to high conflict, including observed catastrophic tipping points. We then use the model to quantitatively evaluate strategies aimed at reducing aquaculture conflict. We found that persuasive advocacy was ineffective and often counterproductive, whereas meaningful engagement, collaborative learning and improving scientific literacy targeted broadly across the population was effective in moderating opinions and reducing conflict. When such messaging was targeted too narrowly or too infrequently, it tended to be negated by ongoing exchange of misinformation within the population. Both the modelling approach and lessons on effective communication strategies are relevant to a broad range of environmental conflicts.

摘要

意见在社区之间的极化可能导致社会冲突、声誉受损以及业务和市场的中断。社会影响模型已被广泛用于从理论角度更好地理解推动冲突的过程。我们以水产养殖为例,展示了如何扩展这些模型以准确预测从人口共识到高冲突的转变,包括观察到的灾难性临界点。然后,我们使用该模型定量评估旨在减少水产养殖冲突的策略。我们发现,有说服力的宣传是无效的,而且往往适得其反,而广泛针对整个群体的有意义的参与、协作学习和提高科学素养则可以有效地调节意见并减少冲突。当这种信息传递过于狭隘或过于频繁时,它往往会被人群中持续的错误信息交流所否定。建模方法和有效的沟通策略的经验教训都与广泛的环境冲突有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62ff/9768146/220ee75015db/41598_2022_26570_Fig1_HTML.jpg

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