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dc.contributor.author | Yin, Jason | es_ES |
dc.coverage.spatial | east=120.960515; north=23.69781; name=556, Taiwan, Nantou County, Xinyi Township, 人倫林道支線 | es_ES |
dc.date.accessioned | 2024-09-20T08:17:30Z | |
dc.date.available | 2024-09-20T08:17:30Z | |
dc.date.issued | 2024-07-16 | |
dc.identifier.isbn | 9788413962016 | |
dc.identifier.uri | http://hdl.handle.net/10251/208399 | |
dc.description.abstract | [EN] New spatiotemporal considerations of the network allow surveillance of vaccine opinion online. The study uses a multilayer network – with each layer representing vaccine opinion discussion – to examine how the structure and timing of engagement in online communities may affect the spread of COVID-19 vaccine opinions. The aim is to improve public health messaging management during health crises and contribute to WHO’s growing infodemic research agenda. The study finds that online discussions on COVID-19 vaccines are dominated by a few highly connected nodes within power-law structured communities. Vaccine-hesitant and pro-vaccine discussions are more engaged with, and more frequently posted earlier, but overall, less densely connected than the fewer, but highly clustered anti-vaccine discussions. Temporally, this trend increases over time for anti-vaccine discussions, suggesting insular communication (and potential echo chambering) happens gradually. The findings suggest proactive information management with consistent vaccine advocacy in online communities is crucial in low-activity periods, as dense anti-vaccination networks may pose misinformation risks. | es_ES |
dc.format.extent | 9 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Multilayer network | es_ES |
dc.subject | Vaccine hesitancy | es_ES |
dc.subject | Infodemiology | es_ES |
dc.subject | Social network analysis | es_ES |
dc.title | Vaccine voices in the digital sphere: a multilayer network analysis of online forum discussion in Taiwan | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/CARMA2024.2024.17691 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Yin, J. (2024). Vaccine voices in the digital sphere: a multilayer network analysis of online forum discussion in Taiwan. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2024.2024.17691 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 26-28, 2024 | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2024/paper/view/17691 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\17691 | es_ES |