@misc{10481/68287,
year = {2021},
url = {http://hdl.handle.net/10481/68287},
abstract = {The 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.},
publisher = {MDPI},
keywords = {COVID-19},
keywords = {Emotional Profile},
keywords = {Twitter},
keywords = {Pleasure-arousal-dominance model},
keywords = {Russell Circumplex model},
keywords = {Emotional concern},
keywords = {Searching behavior},
keywords = {Social Media},
title = {Modelling the Degree of Emotional Concern: COVID-19 Response in Social Media},
doi = {10.3390/app11093872},
author = {Moreno Ortega, José and Bernabé Moreno, Juan},
}