An analysis of pro-vaccine and anti-vaccine information on social networks and the internet: Visual and emotional patterns
dc.contributor.author | Martínez Martínez, Luz | |
dc.contributor.author | Cuesta Cambra, Ubaldo Armando | |
dc.contributor.author | Niño González, José Ignacio | |
dc.date.accessioned | 2024-02-06T11:21:51Z | |
dc.date.available | 2024-02-06T11:21:51Z | |
dc.date.issued | 2019-05-03 | |
dc.description.abstract | The communication of information about vaccines and anti-vaccines is analyzed through the monitoring of issuers, news sites, groups, and messages in social networks. We also investigate the effects of information on people´s attention, emotion, and engagement, which were analyzed using eye tracking, galvanic skin response (GSR) and facial expression methods. Results: the flow of communication was not constant, both in the press and on web sites (376 news in 2015, 74 in 2016, 69 in 2017 and, 268 in 2018); posts were informative and neutral; and 80% came from non-professional sources (only 17% were written by a journalist and 3% by a health specialist). On social networks, anti-vaccine Facebook messages and groups were identified, and a mapping of influencers is presented. Analysis of the temporal evolution (years 2015 to 2018) of communicative flows showed that anti-vaccine posts decreased. Gender differences appeared in the visual exploration of information sources and in the provoked emotion responses (GSR and facial expression). In pro-vaccine pages women looked at the headline first, while men looked at the photograph. Emotional responses and engagement did not show differences between anti-vaccine and pro-vaccine web sites. No differences were found in the emotion provoked (GSR) between both website types: anti-vaccination persuasion occurred via cognitive, not emotional, methods by using heuristics (e.g., conspiracy theories). Emotional responses and engagement did not show differences between pro-vaccine and anti-vaccine web sites. | |
dc.description.department | Depto. de Teorías y Análisis de la Comunicación | |
dc.description.faculty | Fac. de Ciencias de la Información | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.identifier.citation | Cuesta-Cambra, U., Martínez-Martínez, L., & Niño-González, J.-I. (2019). An analysis of pro-vaccine and anti-vaccine information on social networks and the internet: Visual and emotional patterns. Profesional De La información Information Professional, 28(2). https://doi.org/10.3145/epi.2019.mar.17 | |
dc.identifier.doi | 10.3145/epi.2019.mar.17 | |
dc.identifier.essn | 1699-2407 | |
dc.identifier.issn | 1386-6710 | |
dc.identifier.officialurl | https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/epi.2019.mar.17 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/99386 | |
dc.issue.number | 2 | |
dc.journal.title | Pofresional de la informción | |
dc.language.iso | eng | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.cdu | 004.78:316.77 | |
dc.subject.keyword | Vaccines | |
dc.subject.keyword | Internet | |
dc.subject.keyword | Social networks | |
dc.subject.keyword | Public health | |
dc.subject.keyword | Anti-vaccines | |
dc.subject.keyword | Anti-vaxxers | |
dc.subject.keyword | Health information | |
dc.subject.keyword | Health communication | |
dc.subject.keyword | Influencers | |
dc.subject.keyword | Eye-tracking | |
dc.subject.keyword | Facial expression | |
dc.subject.keyword | Galvanic skin response | |
dc.subject.keyword | GSR | |
dc.subject.ucm | Ciencias de la Información | |
dc.subject.unesco | 6308 Comunicaciones Sociales | |
dc.title | An analysis of pro-vaccine and anti-vaccine information on social networks and the internet: Visual and emotional patterns | |
dc.type | journal article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 28 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 412ec3bb-e7fa-49ab-9b9c-16a7a45789a6 | |
relation.isAuthorOfPublication | 910d5a87-3b44-44c2-a189-039e6b44f79a | |
relation.isAuthorOfPublication | 10d9ba39-1aa6-4b80-8617-acdaa058ab5f | |
relation.isAuthorOfPublication.latestForDiscovery | 412ec3bb-e7fa-49ab-9b9c-16a7a45789a6 |
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