Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Decoding the Risk of Accepting Online Misinformation Using Intelligence Quotient and Income

Version 1 : Received: 18 July 2021 / Approved: 21 July 2021 / Online: 21 July 2021 (09:04:25 CEST)
Version 2 : Received: 27 July 2021 / Approved: 27 July 2021 / Online: 27 July 2021 (13:47:59 CEST)

How to cite: Kabir, A.; Kabir, R.; Nahar, J.; Sengar, R. Decoding the Risk of Accepting Online Misinformation Using Intelligence Quotient and Income. Preprints 2021, 2021070472 (doi: 10.20944/preprints202107.0472.v1). Kabir, A.; Kabir, R.; Nahar, J.; Sengar, R. Decoding the Risk of Accepting Online Misinformation Using Intelligence Quotient and Income. Preprints 2021, 2021070472 (doi: 10.20944/preprints202107.0472.v1).

Abstract

Abstract: The object of the study was to evaluate the risk factors associated with accepting online misinformation about COVID-19 vaccination in the United States. The percentages of fully vaccinated people, with regards to COVID-19, were considered as a surrogate measure of accepting online misinformation. The study evaluated the impact of the US state's average intelligence quotient (IQ) and per capita income on accepting misinformation. The study found that socio-demographic groups with lower income along with lower intelligence quotient (IQ) are more vulnerable to online misinformation theories surrounding COVID-19. Further study is needed to evaluate how to increase the intelligence quotient among low-income individuals and whether such an effort will reduce the acceptance of misinformation among the vulnerable population in the United States.

Subject Areas

Online misinformation; COVID-19 vaccination; fully vaccinated; Intelligence Quotient; per capita income

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