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相关概念视频

False Memories01:18

False Memories

142
False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
142
Confirmation Biases01:31

Confirmation Biases

7.2K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
7.2K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

154
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
154
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

2.3K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
2.3K
Bias01:22

Bias

4.9K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.9K
Margin of Error01:27

Margin of Error

4.5K
The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
4.5K

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相关实验视频

Updated: Sep 9, 2025

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
07:26

The Deese-Roediger-McDermott DRM Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

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如何打击选举错误信息

Natália S Bueno1

  • 1Department of Political Science, Emory University, Atlanta, GA, USA.

Science advances
|August 29, 2025
PubMed
概括

提供新的事实信息对于保护民主国家选举的完整性至关重要. 这种方法有助于保持公众对民主进程的信任.

科学领域:

  • 政治科学
  • 信息科学

背景情况:

  • 公众对选举诚信的看法对于民主稳定至关重要.
  • 错误的信息可能会破坏人们对选举过程的信任.

研究的目的:

  • 调查新事实信息对选举完整性的影响.
  • 通过信息传播确定保护民主进程的策略.

主要方法:

  • 分析信息传播策略.
  • 评估公众对选举诚信的看法.
  • 关于选举期间事实信息的影响的案例研究

主要成果:

  • 新的事实信息大大提升了人们对选举诚信的看法.
  • 有针对性的准确数据传播可以抵消错误信息.
  • 公众对选举的信任与获取经过验证的信息有着积极的关联.

结论:

  • 传播新的事实信息是维护选举完整性的有效方法.
  • 积极的信息战略对于维护民主合法性至关重要.
  • 未来的研究应该探索可扩展的信息传播方法.

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Last Updated: Sep 9, 2025

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