Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

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

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Uranus and Neptune may not be 'ice giants' after all.

Science (New York, N.Y.)·2026
Same author

El Niño is here. It may be the strongest this century.

Science (New York, N.Y.)·2026
Same author

Sea ice artificially thickened, but concept may not scale.

Science (New York, N.Y.)·2026
Same author

Fog, a research 'underdog,' gets serious attention.

Science (New York, N.Y.)·2026
Same author

[Ethically challenging determination of treatment goals in the intensive care unit: reasons, frequency and possible solutions].

Die Anaesthesiologie·2026
Same author

Volatile sedation as a source of greenhouse gas emissions in intensive care medicine.

Intensive care medicine·2026

Video Experimental Relacionado

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

No culpes a los algoritmos por la polarización en línea.

Hannah Richter

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

    Los usuarios virtuales de las redes sociales constantemente formaron cámaras de eco y amplificaron puntos de vista extremos en las pruebas. Esto pone de relieve los riesgos inherentes a las plataformas en línea en la formación de las opiniones y el discurso de los usuarios.

    Área de la Ciencia:

    • Análisis de las redes sociales
    • Ciencias sociales computacionales
    • Estudios de comportamiento en línea

    Sus antecedentes:

    • Las plataformas de medios sociales facilitan la difusión de la información.
    • La curaduría de contenido algorítmico puede influir en la exposición del usuario.
    • Comprender la dinámica del grupo en línea es crucial.

    Objetivo del estudio:

    • Para investigar el surgimiento de las cámaras de eco.
    • Identificar el papel de las voces extremas en las discusiones en línea.
    • Para analizar el comportamiento del usuario en entornos de redes sociales simulados.

    Principales métodos:

    • Simulación de usuarios virtuales de las redes sociales.
    • Análisis de los patrones y contenidos de la comunicación.

    Más Videos Relacionados

    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

    Videos de Experimentos Relacionados

    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
  • Observación de los efectos de polarización del grupo.

    • Principales resultados:

    • Se observa una formación consistente de cámaras de eco.
    • La amplificación de voces extremas fue un resultado recurrente.
    • Los usuarios virtuales mostraron patrones predecibles de agrupación de opiniones.

    Conclusiones:

    • Los entornos de medios sociales simulados fomentan las cámaras de eco.
    • Los puntos de vista extremos tienden a dominar en espacios polarizados en línea.
    • Se necesita más investigación para mitigar estos fenómenos emergentes.