Fear, infodemic and desinformation
the discursive timeline about coronavirus on social networks
DOI:
https://doi.org/10.5216/revufg.v20.66593Abstract
This article maps and analyzes the first narratives about the emergence of the new coronavirus elaborated in Portuguese and English on Twitter. For this, we collected through big data, the messages containing the word coronavirus, on three dates: Janu-ary 14, 21 and 28, 2020. Using data mining, we processed 122,026 posts in Portuguese and 934,095 in English. We observed that alre-ady at the beginning of the pandemic, there is a predominance of an epidemiological vocabulary that expresses feelings of alertness, concern and anger about the contagions that started in Wuhan, China. Still in January, these spread across Asia, Europe and the United States. From this methodology that maps the narratives in the chronology of the networks (which we name discursive timeli-ne), we conclude that living the fear of the unknown is the shared emotional basis that guides the behavior of those who turn to so-cial networks in search of (dis)information and conversation about the pandemic.
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