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相关概念视频

Echo01:06

Echo

505
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
505
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.
34.3K
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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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Confirmation Biases01:31

Confirmation Biases

5.5K
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?
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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

207
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
207

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相关实验视频

Updated: Jun 26, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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基于的推特回声室的探测.

Manuel Pratelli1,2, Fabio Saracco3,1,4, Marinella Petrocchi2,1

  • 1IMT School For Advanced Studies Lucca, Piazza San Francesco 19, Lucca 55100, Italy.

PNAS nexus
|May 13, 2024
PubMed
概括

我们开发了一种基于无偏的方法来检测回声室. 我们的研究发现,回声室的存在有限,但对言论产生了重大影响,并且在意大利的Covid-19疫苗接种辩论中与错误信息有关.

关键词:
他们的推特是Twitter.复杂的网络复杂的网络.反响室的回声室是什么?信息理论信息理论错误的信息 错误的信息

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
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相关实验视频

Last Updated: Jun 26, 2025

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Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
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科学领域:

  • 社交媒体分析 社交媒体分析
  • 计算社会科学 计算社会科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 用户遇到与先前信念一致的信息的回声室在在线讨论中很普遍.
  • 了解它们的形成和影响对于分析在线话语和信息传播至关重要.

研究的目的:

  • 引入一种基于的新,无偏见的方法来检测回声室.
  • 量化回声室在意大利Twitter辩论中对Covid-19疫苗接种的存在和影响.

主要方法:

  • 开发一种数据不可知,基于的算法,用于回声室检测.
  • 该方法应用于关于COVID-19疫苗接种的意大利Twitter辩论的数据集.

主要成果:

  • 在回声室内观察到使用者的流行率较低 (约为0.35%).
  • 尽管数字很低,但回声室用户显著影响了话语,占所有转发的近三分之一.
  • 在这种情况下,回声室似乎是虚假信息的重要来源.

结论:

  • 拟议的基于的方法提供了一个不偏见的方法来识别回声室.
  • 即使是小的回声室也可以不成比例地影响在线话语,并可能放大错误信息,就像在Covid-19疫苗接种辩论中看到的那样.