The influence of social media on young risk perception of acquiring HIV: scope review
Notice bibliographique
Résumé
Life connected to the internet and social media makes young people a vulnerable population group at risk of contracting HIV. This is because the media facilitate sex with people who meet over the internet, multiple sexual partnerships, inconsistent condom use and alcohol and/or drugs. It is therefore necessary to understand how these young people perceive themselves at risk for HIV when using social media. The aim of this study was to analyze the influence of social media on young people's perception of risk of acquiring HIV. This is a scoping review developed according to JBI recommendations. The Population, Concept and Context (PCC) mnemonic resulted in the research question: “What is the influence of social media on young people’s perception of risk of acquiring HIV?” The Descriptors in Health Sciences/ Medical Subject Headings (DeCS/MeSH) selected were: HIV; “Acquired Immunodeficiency Syndrome”; Adolescent; tenager; Young; “Social Networking”; “Social media”; Internet; “Health Risk” and “Risk Perception”. The search was carried out in the following data sources: Elsevier SciVerse Scopus; US National Library of Medicine - NLM, Web of Science, Science Direct, Scientific Electronic Library Online, Latin American and Caribbean Literature in Health Sciences, Spanish Bibliographic Index of Health Sciences, Catalog of Theses and Dissertations of CAPES, Digital Library of Theses and Dissertations of the University of São Paulo, Open Access Scientific Repositories of Portugal; DART-Europe; Trove from the National Library of Australia; Theses Canada; and Google Scholar. Original and review articles, theses and dissertations were included, available in full, without time limit, in any language. For analysis, a synthesis matrix that included the extracted information. A total of 11,691 publications were identified, of which 37 were read in full, 22 of which were excluded and 15 studies made up the final sample. The cell phone/smartphone was the most used tool to access social media, several times or hours a day, to find sexual partners. The media found in the studies were: those who used the internet to access websites and websites, media and social networks in general, online social networking sites, digital games and smartphone applications. As risk behaviors: inconsistent use or non-use of condoms during sexual practice; relate to multiple partners; having unprotected anal sex and sex with partners or under the influence of drugs and/or alcohol. The absence/reduction of young people's perception: not having a permanent sexual partner; perceive as unlikely or minimal the chances of contracting HIV by the way they relate; practitioners of a religion perceive themselves to be less exposed and, without knowledge, young people are unable to perceive the risk of acquiring HIV. Social media, therefore, constitute an innovative technology capable of directly influencing the risk perception of young people of acquiring HIV/Aids, when used as an intervention tool, whether through digital games, location-based applications, microblogs, social networks, real-time messaging platforms and other media; to promote awareness/prevention and promotion, improvement of risk behaviors, thus impacting the control of the HIV/Aids epidemic.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,007 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».