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Effect of international organizations’ direct engagement with the public: information source credibility and the public’s attitudes towards COVID-19-related measures

Published online by Cambridge University Press:  30 January 2026

Nam Kyu Kim
Affiliation:
Korea University, Seoul, Republic of Korea
Byungwon Woo*
Affiliation:
Department of Political Science and International Studies, Yonsei University, Seodaemun-gu, Republic of Korea
Joonseok Yang
Affiliation:
Yonsei University, Seoul, Republic of Korea
*
Corresponding author: Byungwon Woo; Email: bwwoo@yonsei.ac.kr
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Abstract

Can international organizations (IOs) effectively shape attitudes held by individuals? Under what conditions does the public perceive information supplied by IOs as more trustworthy than information provided by other authorities? With the exponential growth of social network platforms, many IOs utilize them to engage individuals directly. Building on the growing literature on IOs’ engagement with the public, we examine if and under what conditions such effort is effective. We adopt insights from the literature on information source effect to theorize that the information disseminated by IOs is more effective than that by domestic health officials in shaping individuals’ attitudes when the IOs are portrayed as impartial and equipped with expertise in the relevant issue area. We test the hypotheses in the context of the World Health Organization (WHO) and the COVID-19-related measures. Our analysis of the survey experiment with a sample of 2865 Americans shows that political independents trust COVID-19-related information provided by the WHO more than information supplied by domestic public health officials, especially when the professional expertise the WHO staff commands is highlighted. In comparison, our analysis indicates that the information source effect is muted when information is delivered to individuals with strongly held existing attitudes, Democrats and Republicans in the case of COVID-19-related information in the United States.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Actual wordings of the myth-busting statements on COVID-19 used in the experimental vignettes

Figure 1

Figure 1. Predicted mean values in each experimental condition.

Figure 2

Figure 2. Partisan responses to pre-treatment questions about COVID-19 and information sources.

Figure 3

Figure 3. Treatment effects on trust in the COVID-19 guidelines by party affiliation. The 90% (thicker lines) and 95% (thinner lines) confidence intervals are presented.

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