VACMA · Vaccine Media Analytics

Vaccine Media Analytics

One of medical science’s greatest achievements is the development of vaccines. Even if availability is improving, prices are dropping, evidence of effects are increasing and the side effects are fewer, an increasing number of people av voluntarily choosing not to accept vaccines. This project do not focus on the very visible group of active vaccine opponents, but instead on the less visible group where vaccine is just one of many other issues in daily life. From a public health communication point of view this group is particularly interesting since they is in a phase where they are deciding if they should vaccinate. This group have been hard to study since they are hard to target both with traditional surveys and interview and by traditional media analytics only. To be able to understand the sentiments and stance of this group, we will need to analyse large amounts of text - a task that is simply impossible to do manually. The project focus on machine learning techniques and semantic analysis. The choice of methodology together with the hosting at FISABIO and the University of Valencia coupled with secondments at the Vaccine Confidence Project at London School of Hygiene & Tropical Medicine and with the SME Salumedia, is the starting point for the research. The ​main research objective in this project was to get a deeper understanding of what matters for the people who are still making up their minds about vaccines, and to develop the techniques that is necessary to gain this understanding.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз