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Online search trends and word-related emotional response during COVID-19 lockdown in Italy
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Description: Italy was the first Western country with numerous COVID-19 infections that underwent a strong lockdown. This represents the first threat-related mass isolation in the history that can be in-depth studied by scientists to understand the side effects of pandemic lockdown in the psychophysical domain. There is increasing evidence that Italian lockdown was associated with larger incidence of stress, anxiety, and mood symptoms. It was thus expected that, at a more basic level, also emotion perception -namely how an individual judges the affective content of common words- changed substantially during lockdown, especially in individuals with high COVID-19 fear and high negative affect. We measured the effects of this long-term isolation and the related pandemic phobia in an online survey on 71 healthy Italian participants. They completed the Positive and Negative Affect Schedule and Fear of COVID-19 Scale and judged valence, arousal, and dominance of words either related or unrelated to COVID-19, as identified by Google search trends. We found that lockdown imposed by the COVID-19 epidemic had a substantial impact on participants’ emotional responses. Moreover, emotional judgments changes from normative data varied depending on word type and individuals’ emotional state, revealing early signals of individuals’ mental distress to COVID-19 confinement. Lower valence and dominance judgments were given only to COVID-19-related words by individuals with less negative feelings and COVID-19 fear, but also to COVID-19-unrelated words by individuals with more negative feelings and COVID-19 fear. Moreover, arousal judgments for all words decreased and increased, respectively, for individuals with less and more negative feelings and COVID-19 fear. With respect to more direct but demanding and expensive tools such as surveys and questionnaires, the methods used here allow to measure more conveniently but reliably the emotional alteration and clinical psychiatric risk of population through the analysis of word use in the web and their affective connotation.