The Use of Expressions of Self Interjection and its Meaning on Social Media
Bibliographic record
Abstract
This article will describe various kinds of expressions of teenagers on social media such as Facebook, Instagram, Whatsapp, and others. The method used in this research is a descriptive method with a qualitative approach. The results of the study show that the majority of teenagers in Purwakarta use social media to share experiences through uploaded photos and statuses. Uploading self-expression through social media is carried out every day with high intensity. The expressions used generally function to express surprise or shock, pleasure, anger, sadness, and so on. The most used social media is Facebook. Adolescents' motivation in expressing themselves is due to the desire to express feelings and display personal photos as entertainment and to get responses from others. Their satisfaction is a source of pride in themselves. This satisfaction is generally influenced by the mood of teenagers who usually change. Self-expression for adolescents can also be interpreted as a place for self-existence driven by the desire to be known by many people (viral).Keywords: expression; interjection; social mediaAbstrak Artikel ini akan memaparkan berbagai macam ekspresi para remaja di media sosial seperti Facebook, Instagram, Whatsapp, dan yang lainnya. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa mayoritas remaja di Purwakarta menggunakan media sosial untuk berbagi pengalaman melalui foto dan status yang diunggah. Pengunggahan ekspresi diri melalui media sosial dilakukan setiap hari dengan intensitas yang tinggi. Ungkapan yang digunakan pada umumnya berfungsi untuk mengungkapkan rasa kaget atau keterkejutan, rasa senang, rasa marah, rasa sedih, dan sebagainya. Media sosial yang paling sering digunakan adalah facebook. Motivasi remaja dalam mengeskpresikan diri karena adanya keinginan untuk mencurahkan perasaan dan menampilkan foto-foto pribadi sebagai hiburan dan agar mendapatkan respon dari orang lain. Kepuasan mereka menjadi kebanggaan terhadap dirinya sendiri. Kepuasan tersebut umumnya dipengaruhi oleh suasana hati remaja yang biasa berubah-ubah. Ekspresi diri bagi remaja bisa dimaknai pula sebagai ajang untuk esksistensi diri didorong oleh keinginan untuk dikenal banyak orang (viral). Kata kunci: ekspresi; interjeksi; media sosial.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".