一个双层网络模型,展示了新兴技术对公众风险感知的演变
Xiaqun Liu1, Xiaoyue Qiu1, Yaming Zhuang1
1School of Economics and Management, Southeast University, Nanjing, 211189, China.
Heliyon
|February 24, 2025
概括
公众对新兴技术风险的看法迅速稳定. 风险事件的传播和利益相关者的组成影响了这一演变,更多的主要利益相关者降低了感知风险.
科学领域:
- 社会科学 社会科学 社会科学
- 技术研究 技术研究
- 风险分析 风险分析
背景情况:
- 了解公众对新兴技术的看法至关重要.
- 利益相关者的观点 (主要和次要) 是分析风险理解的关键.
- 风险事件传播对公众看法的影响需要进行调查.
研究的目的:
- 为了分析风险感知,将公众分为主要和次要利益相关者.
- 模拟风险事件传播和新兴技术的公共风险感知演变之间的相互作用.
- 用微观马尔科夫链分析公众风险感知的进化值.
主要方法:
- 复杂网络理论用于构建双层网络模型.
- 微观马尔科夫链方法用于分析进化值.
- 模拟以验证公共组成和风险事件传播的影响.
主要成果:
- 公众对新兴技术的风险感知迅速稳定.
- 风险事件的传播显著影响公众风险感知的门和稳定状态.
- 增加主要利益相关者比例或感知差距会提高风险感知值,降低感知风险.
结论:
- 公共风险感知动态受风险事件传播和利益相关者分布的影响.
- 新兴技术的风险感知可以通过管理利益相关者的组成和信息传播来调整.
- 该研究提供了对新技术的公众接受和风险传播策略的见解.
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