January 2021 PMID 32853436

Cross-cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven-country study.

Christopher P Barlett, Luke W Seyfert, Matthew M Simmers, Vivian Hsueh Hua Chen, Jaqueline Gomes Cavalcanti, Barbara Krahé, Kanae Suzuki, Wayne A Warburton, Randy Yee Man Wong, Carlos Eduardo Pimentel, Marika Skowronski

Mentions

6
Peak: 4 in Nov 2024
across 2 sources since Oct 2020

Extended reach

1,851
potential audience

Total likes

2

Video views

77

Mentions per month

Oct 2020 – Nov 2024

Where it's discussed

  • YouTube4 videos
  • X / Twitter2 posts

AI synopsis

What people are saying

The discussions demonstrate a balanced view, with posts noting that the study confirms some universal predictors of cyberbullying while also highlighting cultural differences, using phrases like 'supports the idea' and 'cultural nuances matter.' The tone is analytical but accessible, emphasizing the relevance of cross-cultural research in understanding online behaviors.

AgreementModerate agreement

Most discussions align with the study's findings, acknowledging the support for the BGCM across different countries, though some express caution about cultural nuances.

InterestModerate interest

Participants show moderate interest, referencing core concepts like anonymity, cultural differences, and the universality of cyberbullying predictors without delving into technical details.

EngagementModerate engagement

Comments occasionally interpret and relate the research to broader issues, engaging with examples like cultural norms affecting online behavior but generally remain at a surface level.

ImpactNeutral impact

While some posts suggest the research is important for understanding cyberbullying, many recognize it as one piece in a larger puzzle, reflecting a moderate perceived impact.

Abstract in brief

  • The study tests the Bartlett Gentile Cyberbullying Model (BGCM), which suggests that perceptions of anonymity and beliefs about online bullying predict positive attitudes toward cyberbullying, leading to actual cyberbullying behavior, and finds support for this model across seven countries.
  • The research reveals that while the BGCM applies generally across different cultures, the strength of certain relationships—like between beliefs about muscularity’s irrelevance (BIMOB) and cyberbullying attitudes—is stronger in independent cultures (like the US and Australia) compared to interdependent ones (like China and Japan).
  • These findings imply that while the core ideas of the BGCM are mostly universal, some cultural differences influence how strongly these factors are connected to cyberbullying behaviors, which has important theoretical implications for understanding cross-cultural cyberbullying dynamics.]

Top posts

Most liked on X and Bluesky
Japan Social Science Research
@japansocsci · X

Cross-cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven-country study Barlett, Seyfert, Simmers, Chen, Cavalcanti, Krahe, Suzuki, Warburton, Wong, Pimentel and Skowronski https://t.co/RL7qzfdhnW https://t.co/LTyiKF3U89

Oct 21, 2020 · 1 like · 1,339 followers View post →
PsychiatryAI.com
@PsychiatryAIcom · X

Cross‐cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven‐country study https://t.co/fFS9H9mdHO

Jan 14, 2021 · 436 followers View post →

All mentions

PsychiatryAI.com
@PsychiatryAIcom · X

Cross‐cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven‐country study https://t.co/fFS9H9mdHO

Jan 14, 2021 · 436 followers View post →
Japan Social Science Research
@japansocsci · X

Cross-cultural similarities and differences in the theoretical predictors of cyberbullying perpetration: Results from a seven-country study Barlett, Seyfert, Simmers, Chen, Cavalcanti, Krahe, Suzuki, Warburton, Wong, Pimentel and Skowronski https://t.co/RL7qzfdhnW https://t.co/LTyiKF3U89

Oct 21, 2020 · 1 like · 1,339 followers View post →