Evaluating the effect of social media on the popularity of vampire facial using google trends
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Vampire facial, also known as a blood facial, uses microneedling with platelet-rich plasma (PRP) to stimulate innate regenerative processes. It was previously used as an injection commonly for orthopedic injuries. In early 2013, Kim Kardashian posted a post-procedure “selfie” on Instagram of her vampire facial.1 The picture she posted, which starkly contrasted the usual photo content of her jet-setting lifestyle, showed Kardashian smizing at the camera with a face covered in bright red blood. The shock factor of the photo caused it to become a viral sensation leading to national and global media coverage.1 Previously, women undergoing aesthetic procedures and treatments went to great lengths to keep their efforts discreet. As a result of Kardashians' photo, women began to imitate her, posting their vampire facial photos on social media. Evolving from a social media trend, her photo normalized the sharing of cosmetic procedures and caused a ripple effect of publicity to a previously unknown procedure. Google trends is a publicly available search analytic tool that can be used to measure internet public interest using keywords.2 We performed a Google Trends analysis to characterize worldwide search trends from October 2010 to October 2020 using the terms vampire facial and blood facial (Chart 1A). Concurrently, a similar spike was observed for the term vampire facial in the category of image searches (Chart 1B). There was a massive rise in the web search hits observed in the month of March 2013 after Kim Kardashian posted her vampire facial selfie. Her post led to a search Interest Over Time (IOT), of 100 representing peak popularity. For reference, search trends for presidential election in the US had an IOT of <25 until the election years 2016 (IOT 32) and 2020 (IOT 100) in the U.S. Vermont, Wyoming, and North Dakota were the states with the highest search hits for the term vampire facial during the spike in March 2023. At the same time, Maryland, South Carolina, and Oklahoma were the states with the highest search hits for the keyword blood facial (Figure 1). This social media trend also spread across the globe as the term vampire facial had increased searches in the United Kingdom, Ireland, and Australia compared to the U.S. After America, the term blood facial was most searched in South Africa, Australia, and Nigeria. According to Google trends, the worldwide average IOT was between 0 and 1 for vampire facial before 2013, but from 2013−2020 the monthly average IOT was 11.4. An analysis of the top three English language newspapers in the USA, Canada, Ireland, UK, Australia, and New Zealand by Rachul et al. found a spike in articles related to platelet rich plasma or PRP (both medical and cosmetic uses) published from 2013−2014.3 In the U.S., among all newspapers, The New York Times published the most articles (66) on PRP from 2009−2015, followed by the Wall Street Journal and USA Today. Rachul et al. found that most of these articles portrayed PRP as a routine procedure, despite its obscurity years prior to Kardashian's post. Today, PRP with microneedling is used for skin rejuvenation, acne scars, melasma, androgenic alopecia, striae, axillary hyperhidrosis and various other indications.4 In conclusion, medical procedures sensationalized by celebrities increase consumer demand and drive the development, research, and refinement of medical aesthetic procedures.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,004 |
| 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 découle