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相关概念视频

Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

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Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
201
Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

454
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
454
Group Polarization01:01

Group Polarization

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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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Accuracy and Precision01:52

Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
8.9K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Social Proof00:52

Social Proof

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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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相关实验视频

Updated: Jul 6, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

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通过社交网络获得知识:准确性,错误性和两极分化.

Ulrike Hahn1,2, Christoph Merdes2,3, Momme von Sydow2

  • 1Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom.

PloS one
|January 3, 2024
PubMed
概括

我们往往依赖别人获得知识,但很难评估来源的准确性. 这项研究表明,社交网络和来源评估策略可以增加两极分化,即使是对准确性有动机的代理.

科学领域:

  • 认识论的认识论学.
  • 社交网络分析 社交网络分析
  • 计算社会科学 计算社会科学

背景情况:

  • 人类的知识获取在很大程度上依赖于其他人的证词.
  • 准确评估信息来源的可靠性是一个重大挑战.
  • 了解社会结构如何影响信仰准确度至关重要.

研究的目的:

  • 调查有限来源准确信息对信念形成的影响.
  • 分析社交网络在信息传播和信念准确性方面的作用.
  • 识别驱动信念体系中两极分化的机制.

主要方法:

  • 采用了基于代理的建模和模拟.
  • 模拟了最佳代理,以在不同的条件下评估信念准确性.
  • 研究了社交网络结构和来源评估策略的影响.

主要成果:

  • 社交网络既可以帮助,也可以阻碍信仰的准确性.
  • 衡量源精度的常用策略可能会导致两极分化.
  • 社交网络和来源评估之间的相互作用加剧了两极分化,特别是在更大的网络中.

结论:

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  • 关于来源准确性的有限信息对知识获取构成了根本性的挑战.
  • 社交网络和共同的评估启发式可以无意中促进两极分化.
  • 这项研究为社会媒体增长所观察到的社会两极分化增加提供了潜在的解释.