进化生物学作为对错误信息的研究的前沿
Michael Simeone1, Kristy Roschke2, Shawn Walker3
1School of Complex Adaptive Systems, Arizona State University, Tempe, AZ, USA.
概括
研究人员正在应用生命科学概念,如健身模型,以了解在线错误信息如何传播和适应. 这种跨学科的方法有助于分析为什么某些错误的叙述在复杂的信息生态系统中成功.
科学领域:
- 跨学科研究 跨学科研究
- 信息科学 信息科学
- 生命科学 生命科学
背景情况:
- 错误信息研究领域已经显著增长,由在线信息操作和"假新闻"推动.
- 来自哲学和计算机科学等不同领域的研究人员正在分析虚假和误导性信息.
- 现有的研究适应了流行病学概念,以了解错误信息的传播,传染和抵抗.
研究的目的:
- 探索生命科学概念的应用,以了解错误信息的适应.
- 研究如何将信息视为生态系统中的生物来解释叙事的成功或失败.
- 倡导错误信息研究人员和生命科学家之间的合作.
主要方法:
- 流行病学模型的概念适应.
- 生命科学理论的应用,包括进化概念.
- 分析信息作为一个复杂生态系统中的实体.
主要成果:
- 生命科学概念为分析错误信息动态提供了新的框架.
- 通过生态镜头查看信息可以提高对叙事成功的理解.
- 适应负责任的健身模型可以显著支持错误信息研究.
结论:
- 跨学科的合作,特别是与生命科学家的合作,对于推进错误信息研究至关重要.
- 适应健身等生物概念可以为分析在线信息提供强大的工具.
- 通过整合各种科学观点,可以更深入地了解错误信息的适应和传播.
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