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Journal of Documentation ; 2022.
Article in English | Scopus | ID: covidwho-1922542

ABSTRACT

Purpose: A wide choice of varied information and data-based tools is reviewed in order to determine their ability treating symptoms of the COVID-19 infodemic. Several literacies and derived literacies, presumably having the ability to fulfil these roles are enumerated. There is also a review of the impact of applying deconstruction, understanding, and anticipation as well as of tools for mitigating overload phenomena, and communication overload. Design/methodology/approach: The article reviews literacies deemed to promise reducing the impact of the information crisis, caused by the COVID-19 pandemic. Findings: A non-exhaustive review of literature, taken from sources of varied disciplines, resulting from reverse snowballing and forward citation mining confirmed that there is a wide choice of solutions from among literacies, derived literacies and other approaches that have the potential to combat annoyance and anxiety, caused by the infodemic. Originality/value: No other, published research has looked at such a wide range of literacies and derived literacies, as well as other, related approaches linked them to the COVID-19 infodemic. © 2022, Emerald Publishing Limited.

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