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dc.contributor.authorMoreno Ortega, José
dc.contributor.authorBernabé Moreno, Juan
dc.date.accessioned2021-05-04T07:08:04Z
dc.date.available2021-05-04T07:08:04Z
dc.date.issued2021
dc.identifier.citationMoreno Ortega, J.; Bernabé-Moreno, J. Modelling the Degree of Emotional Concern: COVID-19 Response in Social Media. Appl. Sci. 2021, 11, 3872. https://doi.org/10.3390/app11093872es_ES
dc.identifier.urihttp://hdl.handle.net/10481/68287
dc.description.abstractThe massive impact caused by the COVID-19 pandemic has left no one indifferent, becoming an unprecedented challenge. The use of protections such as sanitary masks has become increasingly common, restrictions in our daily lives, such as social distancing or confinements, have had serious consequences on the economy and our welfare state. Although the measures imposed throughout the world follow the same pattern, they have been applied with different criteria depending on the country. Over extended periods of time, people tend to change their perception of an event and its magnitude, or in other words, they stop being so concerned despite the seriousness of the matter. In this paper, we introduce a new metric to quantify the degree of emotional concern of people being affected by a topic, and we confirm how populations from different countries follow this trend of downplaying the effect of the pandemic and reach a state of indifference. To do this, we propose a method to analyze the social media stream over time extracting the different emotional states from the Russel Circumplex plane and computing the shifting created by the tragic event—the pandemic. We complete this metric by incorporating searching behavior to reflect not only push contents but also pull inquiries. The resulting metric establishes a relationship between the pandemic and the emotional response by defining the degree of Emotional Concern. Although the method can be applied to any location with a significant and varied amount of geo-localized social media streams, the scope of this paper covers the most representative cities in Europe.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCOVID-19es_ES
dc.subjectEmotional Profilees_ES
dc.subjectTwitteres_ES
dc.subjectPleasure-arousal-dominance modeles_ES
dc.subjectRussell Circumplex modeles_ES
dc.subjectEmotional concernes_ES
dc.subjectSearching behaviores_ES
dc.subjectSocial Mediaes_ES
dc.titleModelling the Degree of Emotional Concern: COVID-19 Response in Social Mediaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/app11093872


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España