Veille Scientifique étudiante concernant la cognition partagée (SharedCognition) et la polarisation politique
Alimenté par : Claudia Dapino Ponel, Madeline Desmurs
Cette application est une plateforme collaborative de veille scientifique permettant d'importer des publications depuis PubMed, de suivre leur lecture, d'en extraire les éléments méthodologiques clés (protocole, variables, résultats), et de constituer une synthèse structurée pour faciliter la réalisation de revues de littérature.
Dernière synchronisation : 11/06/2026
Perspect Public Health . 2021;141 (5) :279-286
AIMS: Social media, because of its broad coverage, is an attractive option for communicating public health messages. However, the lack of a theoretical framework, supporting the two-way communication of social media, is holding back its development and use. This study investigated the suitability of a dynamic transactional model (DTM) of communication for explaining the use of social media for communicating public health messages.METHODS: The study was carried out on 'Don't know? Don't drink', a Facebook campaign against drinking alcohol during pregnancy that targeted women of childbearing age in New Zealand. The comments generated were analysed for two features of DTM, namely inter- and intra-transaction, by examining the plurality of topics and polarity of sentiments, using text-mining techniques.RESULTS: The analysis of the textual data revealed nine independent topics, confirming the plurality of topics. The conversation contained both positive and negative terms, establishing the polarity of sentiment.CONCLUSIONS: This study verified the two DTM features (inter- and intra-transaction) in the comments produced by the 'Don't know? Don't drink' campaign implemented on Facebook. DTM exhibited the potential to be a theoretical framework for recommending and evaluating social media sites like Facebook for communicating public health messages.