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相关概念视频

Group Polarization01:01

Group Polarization

34.4K
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.
34.4K
Relationship Formation02:12

Relationship Formation

40.1K
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,...
40.1K
Social Exchange Theory02:06

Social Exchange Theory

34.6K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.6K
Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

2.1K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
2.1K
Framing Effects03:26

Framing Effects

7.4K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.4K
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 25, 2025

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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描述Facebook上不同主题的参与动态.

Gabriele Etta1, Emanuele Sangiorgio2, Niccolò Di Marco3

  • 1Center of Data Science and Complexity for Society, Department of Computer Science, Sapienza Università di Roma, Roma, Italy.

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概括

社交媒体 社交媒体

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科学领域:

  • 社交媒体的动态.
  • 计算社会科学 计算社会科学
  • 信息的传播和传播.

背景情况:

  • 社交媒体平台显著影响信息消费和话题受欢迎程度.
  • 争议性话题的传播可以升级讨论和用户两极分化.

研究的目的:

  • 调查社交媒体上有争议的话题的病毒性与用户两极分化之间的关系.
  • 分析热门话题的参与模式及其对用户反应的影响.

主要方法:

  • 来自200万个页面和群组的约5700万条Facebook帖子 (2018-2022) 的定量分析.
  • 专注于吸引人的话题,包括丑闻,悲剧和社会政治问题.
  • 应用物流函数来建模主题参与动态.

主要成果:

  • 在各种有争议的话题中确定了类似的参与模式.
  • 证明了最初的主题"爆发"可以预测随后的用户两极分化.
  • 发现初始参与强度是预测用户不良反应的关键因素.

结论:

  • 社交媒体上有争议的话题的病毒性与用户两极分化增加有关.
  • 在线讨论中的早期参与峰值可以作为增加消极用户情绪的预测指标.
  • 了解这些动态对于管理在线话语和缓解两极分化至关重要.