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相关概念视频

Social Proof00:52

Social Proof

27.7K
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.
27.7K
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?
5.5K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

148
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
148
Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

39.1K
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...
39.1K
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K
Stereotype Content Model02:16

Stereotype Content Model

14.8K
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...
14.8K

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相关实验视频

Updated: Jul 24, 2025

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
09:40

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

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了解在线信息消费期间的人类-算法纠的挑战.

Stephan Lewandowsky1,2,3, Ronald E Robertson4, Renee DiResta4

  • 1School of Psychological Science, University of Bristol.

Perspectives on psychological science : a journal of the Association for Psychological Science
|July 10, 2023
PubMed
概括

在线内容是由算法和人类选择塑造的. 为了理解这种复杂的关系,研究人员需要更多的数据访问,以确保为公众提供更安全,更有益的算法.

关键词:
算法算法是一种算法.认知 认知 认知社会认知 (social cognition) 是一种社会认知.社交媒体 社交媒体

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The HoneyComb Paradigm for Research on Collective Human Behavior
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The HoneyComb Paradigm for Research on Collective Human Behavior

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Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
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Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos

Published on: May 29, 2020

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相关实验视频

Last Updated: Jul 24, 2025

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
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Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

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The HoneyComb Paradigm for Research on Collective Human Behavior
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The HoneyComb Paradigm for Research on Collective Human Behavior

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Loneliness Assuaged: Eye-Tracking an Audience Watching Barrage Videos
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科学领域:

  • * 计算社会科学 * 计算社会科学
  • * 人与计算机的交互
  • * 数字媒体研究

背景情况:

  • * 在线内容消费在很大程度上是由社交媒体和搜索引擎的专有算法调节的.
  • *用户与这些算法之间的互动是复杂的,双向的.
  • *目前的研究受限于缺乏对平台数据的访问.

研究的目的:

  • * 探索人类代理和算法策划之间的相互作用.
  • * 分析人类需求的连续性,从隐式到显式.
  • * 了解人类-算法纠的长期社会影响.

主要方法:

  • * 人类与算法交互的概念分析.
  • * 检查用户行为和算法修改之间的反循环.
  • *讨论研究的局限性和未来的需求.

主要成果:

  • * 人与算法的互动塑造了即时的用户体验.
  • *这些互动可以改变社交网络结构,导致长期影响.
  • *这些系统的相互塑造性质创造了一个复杂的纠.

结论:

  • * 更大的透明度和数据共享对于理解人与算法的纠至关重要.
  • *需要加强研究人员对平台数据的访问.
  • *改善理解对于开发有益和低风险的算法至关重要.