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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.
34.3K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
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...
14.7K
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
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.0K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.0K
Relationship Formation02:12

Relationship Formation

40.0K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
40.0K
Ethics in Research01:56

Ethics in Research

23.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.0K

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相关实验视频

Updated: Jul 8, 2025

Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.5K

在线错误信息参与框架.

Michael Geers1, Briony Swire-Thompson2, Philipp Lorenz-Spreen3

  • 1Center for Adaptive Rationality, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Department of Psychology, Humboldt University of Berlin, Rudower Ch. 18, 12489 Berlin, Germany.

Current opinion in psychology
|December 13, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了在线错误信息参与框架,以组织对在线错误信息的研究. 它强调了源和信息选择的早期阶段,作为打击错误信息的干预的关键领域.

关键词:
参与 参与 参与 参与干预措施 干预措施错误的信息是错误的信息.在线环境在线环境.社交媒体 社交媒体

更多相关视频

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
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Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

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

Published on: May 31, 2019

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相关实验视频

Last Updated: Jul 8, 2025

Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.5K
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

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

  • 社会科学 社会科学 社会科学
  • 沟通研究 沟通研究
  • 心理学 心理学 心理学

背景情况:

  • 在线错误信息研究正在迅速发展.
  • 系统地组织研究结果和识别研究差距是具有挑战性的.
  • 现有的框架可能无法完全捕捉用户对错误信息的参与.

研究的目的:

  • 提出一个系统的框架来分类用户对在线错误信息的参与.
  • 在用户参与过程中识别干预点.
  • 突出在打击错误信息方面未得到充分解决的阶段.

主要方法:

  • 在线虚假信息参与框架的开发.
  • 将参与分为四个不同的阶段:来源选择,信息消费,评估和反应.
  • 分析每个阶段的干预机会.

主要成果:

  • 该框架将参与分为四个阶段:来源选择,信息消费,评估和反应.
  • 在所有四个阶段都确定了干预点.
  • 来源和信息选择阶段被确定为相对被忽视但至关重要.

结论:

  • 在线错误信息参与框架提供了一个结构化的方法来理解用户与错误信息的互动.
  • 专注于早期的过程,如来源和信息选择,对于有效的干预至关重要.
  • 对这些早期阶段的进一步研究可以提高公众对在线错误信息的抵抗力.