Pengaruh Alexithymia terhadap Perilaku Cyberbullying pada Pengguna Media Sosial
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".