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相关概念视频

Group Polarization01:01

Group Polarization

34.3K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

39.0K
People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
39.0K

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基于区块链和边缘计算的公众情绪分析的安全管理方法

Tao Liu, Qingyuan Liu, Ting Chen

    IEEE transactions on cybernetics
    |June 18, 2024
    PubMed
    概括

    本研究介绍了一种基于区块链的安全方法来分析公众意见,增强数据安全性,共享和可信度. 拟议的解决方案确保了处理和存储论数据的更可靠环境.

    科学领域:

    • 计算机科学 计算机科学
    • 信息安全 信息安全
    • 社交计算社会计算

    背景情况:

    • 互联网和社交媒体增加了公众论分析的重要性.
    • 目前的方法在数据安全,共享和可信度方面面临挑战,可能导致信息泄露和不准确的结果.

    研究的目的:

    • 为公众论分析提出一个安全的管理方法.
    • 解决公众论数据中的数据安全,共享和信誉问题.

    主要方法:

    • 一个集团密钥管理框架,具有设备分组和数据安全的相互认证.
    • 一个动态密钥生成算法,用于安全的数据共享.
    • 一个集团密钥管理算法,用于管理集团密钥生命周期,以确保数据的可信性.
    • 使用OpenEthereum进行模拟的区块链网络的实施.

    主要成果:

    • 拟议的解决方案有效地解决了数据安全,共享和信誉方面的问题.
    • 模拟实验证实了解决方案的效率和可扩展性.
    • 建立了一个更安全的公众论数据处理和存储环境.

    结论:

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  • 开发的基于区块链的方法为安全的论分析提供了强大的解决方案.
  • 该方法提高了公众论数据的可靠性和可信度.
  • 该解决方案是高效的,可扩展的,适合于现实世界的应用.