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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Stereotype Content Model02:16

Stereotype Content Model

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 categorization, a person will feel...
Bullying02:04

Bullying

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 bullying.
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the recognition that people have...

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Related Experiment Video

Updated: Jul 1, 2026

Social Defeat Stress Model for Adolescent C57BL/6 Male and Female Mice
07:15

Social Defeat Stress Model for Adolescent C57BL/6 Male and Female Mice

Published on: March 15, 2024

Longitudinal Predictors of Generative AI-Involved Cyberbullying: A Two-Wave Longitudinal Study.

Rongjian Sun1, Cheng-Yen Wang2

  • 1Department of Educational Psychology, Texas A&M University, College Station, Texas, USA.

Cyberpsychology, Behavior and Social Networking
|June 30, 2026
PubMed
Summary
This summary is machine-generated.

Psychopathy and male gender predict generative artificial intelligence-involved cyberbullying (GAICB). This longitudinal study highlights potential links between personality traits, gender, and emerging AI-driven aggression, informing future prevention efforts.

Keywords:
Dark Tetradcyberbullyinggenerative artificial intelligence

Related Experiment Videos

Last Updated: Jul 1, 2026

Social Defeat Stress Model for Adolescent C57BL/6 Male and Female Mice
07:15

Social Defeat Stress Model for Adolescent C57BL/6 Male and Female Mice

Published on: March 15, 2024

Area of Science:

  • Psychology
  • Cybersecurity
  • Artificial Intelligence

Background:

  • Generative artificial intelligence (GAI) presents new avenues for cyberbullying.
  • Understanding the psychological and demographic factors driving GAI-involved cyberbullying (GAICB) is crucial.

Purpose of the Study:

  • To investigate the longitudinal associations between Dark Tetrad personality traits, gender, age, and GAICB.
  • To identify predictors of GAICB over a 6-month period.

Main Methods:

  • A two-wave longitudinal study with 1,019 participants.
  • Hierarchical linear regressions were used to analyze the data.
  • Examined relationships between Dark Tetrad traits (psychopathy, sadism, Machiavellianism, narcissism), gender, age, and GAICB.

Main Results:

  • Psychopathy and male gender were significant longitudinal predictors of GAICB.
  • Sadism predicted baseline GAICB but not over time.
  • Machiavellianism, narcissism, and age did not show significant effects on GAICB.

Conclusions:

  • Psychopathy and gender appear to be associated with AI-driven aggression.
  • Findings suggest a need for further research into targeted prevention strategies for GAICB.
  • The study underscores the evolving nature of cyberbullying in the age of GAI.