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Record W4250200930 · doi:10.32920/ryerson.14653227

Exposure to violent and prosocial video games: effects on hostile attribution bias, aggression, aggressive driving tendencies, and empathy

2021· preprint· en· W4250200930 on OpenAlexaff
Jason A. Middleton

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsProsocial behaviorAggressionEmpathyPsychologyAttribution biasAttributionSocial psychologyVideo gameMultimediaComputer science

Abstract

fetched live from OpenAlex

The present study aimed to investigate the possible relation between reported video game play (i.e., violent, aggressive driving, and prosocial types) and four outcomes of social behaviour: hostile attribution bias, aggression, aggressive driving tendencies, and empathy. A sample of 136 university students (67 males and 69 females), age 17 to 58 (M = 20.66), completed various self-report measures. Data were analyzed both in terms of the whole sample and separately according to participant sex. The results provide partial evidence that there are links between violent games and aggressive attitudes (i.e., physical, but not relational, aggression); aggressive driving games and aggressive driving tendencies/punitive attitudes toward a convicted driver; violent games and hostile attribution bias; and violent games and lower empathy ratings. No support was found for the link between prosocial games and higher empathy. Future research directions for research on video games effects are outlined.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.277
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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