Are COVID-19 conspiracy theories for losers? Probing the interactive effect of voting choice and emotional distress on anti-vaccine conspiracy beliefs

Abstract As the COVID-19 pandemic has increasingly become intertwined with politics, emerging studies have identified political orientations as essential drivers behind public endorsement of COVID-19 conspiracy theories. Yet little is known about the relationship between individuals’ voting choices and their conspiracy beliefs, as well as the psychological mechanism behind them. By introducing affective intelligence theory (AIT) into the conspiracy theory literature, this study examines the moderating role of emotional distress as the underlying mechanism that conditions the relationship between voting choice and the public’s anti-vaccine conspiracy beliefs. A cross-national online survey of adults (aged 18 or above; n = 2208) was fielded in Singapore, Hong Kong, Japan, and the US in June 2021. The results show that individuals who voted for the losing party in the previous election are more susceptible to anti-vaccine conspiracy theories, indicating a “losing effect.” Additionally, those experiencing greater emotional distress are more vulnerable to those conspiratorial statements. Moreover, the aforementioned losing effect of voting choice is weaker among individuals who experienced greater emotional distress during the pandemic. These findings enhance our understanding of the socio-psychological mechanism behind conspiracy beliefs.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-04-02
DOI
https://doi.org/10.1057/s41599-025-04774-3
Citations
3
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
8.40

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article

Are COVID-19 conspiracy theories for losers? Probing the interactive effect of voting choice and emotional distress on anti-vaccine conspiracy beliefs

Xiang Meng, Fen Lin, Pei Zhi
3 citations
Humanities and Social Sciences Communications
Misinformation and Its Impacts
8.40
article

Are COVID-19 conspiracy theories for losers? Probing the interactive effect of voting choice and emotional distress on anti-vaccine conspiracy beliefs

Xiang Meng, Fen Lin, Pei Zhi
article en
3 citations

Abstract

Abstract As the COVID-19 pandemic has increasingly become intertwined with politics, emerging studies have identified political orientations as essential drivers behind public endorsement of COVID-19 conspiracy theories. Yet little is known about the relationship between individuals’ voting choices and their conspiracy beliefs, as well as the psychological mechanism behind them. By introducing affective intelligence theory (AIT) into the conspiracy theory literature, this study examines the moderating role of emotional distress as the underlying mechanism that conditions the relationship between voting choice and the public’s anti-vaccine conspiracy beliefs. A cross-national online survey of adults (aged 18 or above; n = 2208) was fielded in Singapore, Hong Kong, Japan, and the US in June 2021. The results show that individuals who voted for the losing party in the previous election are more susceptible to anti-vaccine conspiracy theories, indicating a “losing effect.” Additionally, those experiencing greater emotional distress are more vulnerable to those conspiratorial statements. Moreover, the aforementioned losing effect of voting choice is weaker among individuals who experienced greater emotional distress during the pandemic. These findings enhance our understanding of the socio-psychological mechanism behind conspiracy beliefs.

Humanities and Social Sciences CommunicationsVol. 12(1)
Hong Kong Polytechnic University (HK), City University of Hong Kong (HK)
City University of Hong Kong
Openalex Percentile: Top 4%
Misinformation and Its Impacts
8.40
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Are COVID-19 conspiracy theories for losers? Probing the interactive effect of voting choice and emotional distress on anti-vaccine conspiracy beliefs — Xiang Meng, Fen Lin, et al. · Humanities and Social Sciences Communications (2025) | TGRS Research Map | TGRS