Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge
Publication type: Journal Article
Publication date: 2020-10-01
scimago Q1
wos Q2
SJR: 0.836
CiteScore: 4.4
Impact factor: 2.0
ISSN: 02681153, 14653648
PubMed ID:
33090215
Public Health, Environmental and Occupational Health
Education
Abstract
We proposed a conceptual model combining three theories: uses and gratification theory, social networking sites (SNS) dependency theory and social impact theory to understand the factors that predict fake news sharing related to COVID-19. We also tested the moderating role of fake news knowledge in reducing the tendency to share fake news. Data were drawn from social media users (n = 650) in Nigeria, and partial least squares was used to analyse the data. Our results suggest that tie strength was the strongest predictor of fake news sharing related to COVID-19 pandemic. We also found perceived herd, SNS dependency, information-seeking and parasocial interaction to be significant predictors of fake news sharing. The effect of status-seeking on fake news sharing, however, was not significant. Our results also established that fake news knowledge significantly moderated the effect of perceived herd, SNS dependency, information-seeking, parasocial interaction on fake news sharing related to COVID-19. However, tie strength and status-seeking effects were not moderated.
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Total citations:
68
Citations from 2024:
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(41.18%)
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GOST
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Apuke O. D., Omar B. Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge // Health Education Research. 2020. Vol. 35. No. 5. pp. 490-503.
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Apuke O. D., Omar B. Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge // Health Education Research. 2020. Vol. 35. No. 5. pp. 490-503.
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RIS
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TY - JOUR
DO - 10.1093/her/cyaa030
UR - https://doi.org/10.1093/her/cyaa030
TI - Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge
T2 - Health Education Research
AU - Apuke, Oberiri Destiny
AU - Omar, Bahiyah
PY - 2020
DA - 2020/10/01
PB - Oxford University Press
SP - 490-503
IS - 5
VL - 35
PMID - 33090215
SN - 0268-1153
SN - 1465-3648
ER -
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BibTex (up to 50 authors)
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@article{2020_Apuke,
author = {Oberiri Destiny Apuke and Bahiyah Omar},
title = {Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge},
journal = {Health Education Research},
year = {2020},
volume = {35},
publisher = {Oxford University Press},
month = {oct},
url = {https://doi.org/10.1093/her/cyaa030},
number = {5},
pages = {490--503},
doi = {10.1093/her/cyaa030}
}
Cite this
MLA
Copy
Apuke, Oberiri Destiny, et al. “Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge.” Health Education Research, vol. 35, no. 5, Oct. 2020, pp. 490-503. https://doi.org/10.1093/her/cyaa030.