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Record W4320923361 · doi:10.29313/bcsps.v3i1.5129

Pengaruh Alexithymia terhadap Perilaku Cyberbullying pada Pengguna Media Sosial

2023· article· en· W4320923361 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBandung Conference Series Psychology Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologyHumanitiesToronto Alexithymia ScaleSocial psychologyArt

Abstract

fetched live from OpenAlex

Alexithymia is a condition in which a person is unable to express the emotions that are felt and owned by himself and also cannot describe the emotions that occur in other people around him. One of the negative impacts of alexithymia individuals in social media is the occurrence of cyberbullying behavior. This study aims to find out how the influence of alexithymia on cyberbullying behavior on social media users. This study uses a quantitative approach with a simple linear regression method, to find out whether there is an influence between alexithymia and cyberbullying behavior. Participants in this study amounted to 160 people aged 18-25 years and active users of social media in the city of Bandung. The measuring instrument used in this study is the Toronto Alexithymia Scale (TAS-20) for alexithymia and for cyberbullying behavior the Cyberbullying Scale is used. The results of this study indicate that there is an influence of alexithymia on cyberbullying behavior of 0.020 or 2% (R square = 0.020).
 Alexithymia adalah suatu keadaan dimana seorang tidak mampu untuk mengungkapkan emosi yang dirasakan dan yang dimiliki oleh dirinya dan juga tidak dapat mendeskripsikan emosi yang terjadi pada orang lain di sekitarnya. Salah satu dampak negatif dari individu alexithymia dalam bermedia sosial adalah terjadinya perilaku cyberbullying. Penelitian ini bertujuan untuk dapat mengetahui bagaimana pengaruh alexithymia terhadap perilaku cyberbullying pada Pengguna Media Sosial. Penelitian ini menggukanan pendekatan kuantitatif dengan metode regresi linear sederhana, untuk bisa mengetahui apakah terdapat pengaruh antara alexithymia dengan perilaku cyberbullying. Partisipan didalam penelitian ini berjumlah 160 orang yang berusia 18-25 tahun dan pengguna aktif media sosial di kota Bandung. Alat ukur yang digunakan dalam penelitian ini yaitu Toronto Alexithymia Scale (TAS-20) untuk alexithymia dan untuk perilaku cyberbullying menggunakan alat ukur Cyberbullying Scale. Hasil penelitian ini menunjukan terdapat pengaruh alexithymia terhadap perilaku cyberbullying sebesar 0.020 atau 2% (R square = 0.020).

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.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.127
GPT teacher head0.440
Teacher spread0.314 · 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