461 Analysis of the Sunburn Tattoo Trend on Instagram
Notice bibliographique
Résumé
From its launch in 2010, the photo-sharing platform Instagram has facilitated the proliferation of global beauty and fashion trends. In recent years, sunburn tattoos have become popular among many users of Instagram. Sunburn tattoos are commonly achieved by covering a small patch of skin with tape or sunscreen while exposing the surrounding skin to the sun with the aim of causing a sunburn. The result is a visible shape, or “tattoo”, in the original skin tone surrounded by a large area of burned skin. The purposes of this study were to determine demographics of participants and the popularity of this trend over time. A search using the hashtag “sunburntattoo” was performed on Instagram. This revealed every post from a user with a public profile who had tagged “sunburntattoo” to their photo. Posts were selected for analysis based on two criteria: the photo must be of a sunburn tattoo and the design of the tattoo must be intentional. The following data were collected on each post: date, number of likes, comments from other accounts, and approximate size (estimated in percent of total body surface area) of the tattoo. Nationality and sex of each user were also recorded. Finally, the user’s type of account was noted (i.e. professional, beauty blog, personal). Of the 121 total comments, only 6 (5%) expressed a negative view of the tattoo. Most posts were made by American users (n=19), followed by German (n=4), Dutch (n=2), Spanish (n=2), Canadian (n=2), and Ecuadorian (n=2) users. The majority of posts (66%) were from personal accounts. Eight posts were made by professional accounts, two of which were dermatology clinics warning against the dangers of sunburn tattoos. Of the posts where the sex of the person with the tattoo was identifiable, 39% were male, and 61% were female. The first photo was posted in 2012, and since then, the greatest number of posts was made in 2015. The average tattoo covered 2% of total body surface area. Recent popularity of sunburn tattoos among Instagram users of different nationality and sex is evident. Posts and comments that explain the risks of this trend exist but are far less common than posts by users sharing photos of their tattoos. Furthermore, the dates of posts suggest that the popularity of this trend peaked in 2015 and has been less prevalent in years since. Providers should be aware of this trend and the role of social media in its proliferation. Prevention efforts may include an increased presence of professional health care accounts on Instagram in order to inform users of the dangers of sunburn tattoos.
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.
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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».