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Volume 27, Number 2—February 2021
Research

Addressing COVID-19 Misinformation on Social Media Preemptively and Responsively

Emily K. VragaComments to Author  and Leticia Bode
Author affiliations: University of Minnesota, Minneapolis, Minnesota, USA (E.K. Vraga); Georgetown University, Washington, DC, USA (L. Bode)

Main Article

Table 3

Comparing participants in correction conditions to control condition for wave 2 using regression analysis in study of addressing COVID-19 misinformation on social media*

Condition Body temperature
 COVID-19 prevention
Beta SE Beta SE
Time gap 0.05 0.04 –0.01 0.04
Pure control [reference] – – – –
Misinformation only –0.09 0.10 –0.20 0.10
WHO preemptive –0.29† 0.11 –0.13 0.11
User preemptive –0.08 0.11 –0.09 0.10
WHO responsive –0.35† 0.11 –0.22‡ 0.10
User responsive
 –0.21‡
 0.11
–0.10
 0.11
Adjusted R2 0.010†
 0.001

*Adjusted R2 indicates the variance explained by the overall model. COVID-19, coronavirus disease; WHO, World Health Organization.
†p<0.01.
‡p<0.05.

Main Article

Page created: October 19, 2020
Page updated: January 23, 2021
Page reviewed: January 23, 2021
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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