ASSSESING UNIVERSITYS’ POPULARITIES OF UNİVERSITY RANKINGS BY USING GOOGLE TRENDS
Notice bibliographique
Résumé
Purpose: In this research, in the world rankings; It is aimed to reveal the important criteria, to compare the search volume and to investigate the popularity of the rankings using Google Trends data. Method: In the study, Google Trends data was used for the popularity and awareness of world rankings. While obtaining data from Google Trends, the search interest of the world rankings was examined by selecting the categories "worldwide", "last 12 months", "all categories" and "google web search". In addition, the ranking criteria published in 2022 on the web pages of URAP, ARWU, CWUR, CWTS-Leiden, NTU, QS, RUR, US News, SCImago-SJR, THE and Webometrics were examined.Finding: In this study, the world rankings were evaluated on criteria such as data and indicators made on Google Trends. THE is at the forefront of popularity, with QS 69 regions in over 70 regions worldwide. US News follows this with 31 regions, Webometrics with 15 regions, and ARWU with 12 regions, demonstrating its recognition. URAP 11 regions, SJR ten regions, CWUR eight regions, Leiden University seven regions, NTU six regions and finally RUR three regions were searched worldwide. In addition, it is seen in the findings obtained as a result of Google Trends search volume; the regions using different world rankings are the USA and India; We frequently use THE, QS, US News, Webometrics, ARWU rankings, Canada's THE, QS, US News, ARWU rankings, Germany, China and Turkey's THE, QS, US News rankings, and Russia's THE and QS rankings. appears to be in use and popular.Conclusion: As a result of the research; It is seen that some of the leading rankings such as THE, QS, US News, Webometrics, ARWU, URAP, SJR, CWUR, CWTS-Leiden, NTU and RUR are strongly based on bibliometric data and have high similarities, from the most popular and well-known, respectively. Research, teaching and citations are emphasized in the world rankings criteria; It also includes comprehensive measures of international outlook, reputation survey, citations, academic excellence, and industrial collaboration. It has also been concluded that popular world rankings are used more in densely populated countries. As a result, the study, which was built in line with the purpose of the research, is seen as an important resource for evaluating the excellence of universities across global university rankings, and it is of importance for every segment existing and affected at the education level conclusion is reached. Because both state and private universities can be considered as political institutions of the state.Inference: There should be an increase in popularity and awareness of Google Trends in order to fulfill the basis of the ranking criteria. For this reason, higher education institutions want to take part in the ranking race to use the talent attracting capacity of the nations.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».