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Record W4206503023 · doi:10.31219/osf.io/2qfmb

Analisis Image Comments to Image Likes Ratio Pada 5 Brand di Indonesia Yang Sering Dikira Brand Luar Negeri

2022· preprint· id· W4206503023 on OpenAlexaff
I Kadek Andi Suarjayasa

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsBrandon Regional Health Authority
Fundersnot available
KeywordsAdvertisingArtBusiness

Abstract

fetched live from OpenAlex

Instagram merupakan aplikasi sosial media yang berasal dari Amerika yang dibuat oleh Kevin Systrom dan Mike Krieger. Instagram memungkinkan penggunanya membuat video berdurasi 15 detik sampai dengan 15 menit yang disertai dengan musik, filter, dan beberapa fitur kreatif lainnya. Di Indonesia terdapat 59,840 juta pengguna Instagram, dengan jumlah sebanyak itu maka 22,6 persen penduduk di Indonesia merupakan pengguna Instagram. Maraknya jumlah pengguna Instagram yang aktif di Indonesia tentu dapat memberikan peluang bagi brand untuk menjadikan platform Instagram sebagai platform social media marketing. Adapun 5 Brand di Indonesia Yang Sering Dikira Brand Luar Negeri yang memanfaatkan Instagram sebagai platform marketing, yaitu : J-CO, CFC, Krisbow, Men’s Republic, dan Polytron. Tujuan dari penelitian ini yaitu untuk menghitung kredibilitas dari performa akun Instagram Top 5 Brand di Indonesia Yang Sering Dikira Brand Luar Negeri. Metode yang digunakan untuk penelitian ini yaitu metode eksploratif kuantitatif. Hasil dari penelitian ini menunjukan bahwa Brand J-CO Indonesia mendapatkan peringkat pertama dan memiliki kredibilitas performa akun yang baik.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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 designObservational
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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