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関連する概念動画

Group Polarization01:01

Group Polarization

35.4K
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.
35.4K
Bullying02:04

Bullying

8.5K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.5K
Stereotype Content Model02:16

Stereotype Content Model

14.9K
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...
14.9K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

91.4K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
91.4K
In- and Out-Groups01:31

In- and Out-Groups

39.9K
People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
39.9K
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

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関連する実験動画

Updated: Sep 10, 2025

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
06:42

Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

Published on: September 28, 2018

11.7K

オンラインの二極化に アルゴリズムを責めないで

Hannah Richter

    Science (New York, N.Y.)
    |August 21, 2025
    PubMed
    まとめ

    仮想ソーシャル・メディアの利用者は 一貫して反響室を形成し テストで極端な見解を強めたのです これは,オンラインプラットフォームがユーザーの意見や議論を形作る際の固有のリスクを強調しています.

    科学分野:

    • ソーシャルメディアの分析
    • コンピュータ社会科学
    • オンライン 行動 研究

    背景:

    • ソーシャル・メディアのプラットフォームは 情報の拡散を促進します
    • アルゴリズムによるコンテンツキュレーションは,ユーザー曝露に影響を与えます.
    • オンラインのグループダイナミクスを理解することが重要です.

    研究 の 目的:

    • エコーチャンバーの出現を調査する
    • オンラインでの議論における 極端な声の役割を特定する.
    • シミュレートされたソーシャルメディア環境でユーザーの行動を分析する.

    主な方法:

    • 仮想ソーシャル・メディアの ユーザのシミュレーションです
    • コミュニケーションパターンと内容の分析
    • グループ極化効果の観察

    主要な成果:

    • 一貫したエコー室の形成が観察されました.
    • 極端な声の増幅が 繰り返された結果でした
    • 仮想ユーザは予測可能な 意見のクラスタリングを示した.

    さらに関連する動画

    Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
    09:03

    Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

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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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    関連する実験動画

    Last Updated: Sep 10, 2025

    Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses
    06:42

    Continuous Theta Burst Stimulation of the Posterior Medial Frontal Cortex to Experimentally Reduce Ideological Threat Responses

    Published on: September 28, 2018

    11.7K
    Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
    09:03

    Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

    Published on: February 29, 2020

    5.9K
    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

    5.3K

    結論:

    • シミュレーションされたソーシャルメディア環境は 本質的にエコーチャームを育むのです
    • 極端な見解が 偏ったオンライン空間で支配的になる傾向があります
    • これらの新興現象を緩和するためにさらなる研究が必要です.