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Fear and voting preference: The 2024 Taiwan presidential election from an affective intelligence perspective

Published online by Cambridge University Press:  08 May 2026

Yi-Ming Yu
Affiliation:
National Defense University, Taiwan
Chih-Long Yen*
Affiliation:
Ming Chuan University, Taiwan
*
Corresponding author: Chih-Long Yen; Email: dragon1943@gmail.com
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Abstract

During the 2024 Taiwan presidential election, the Kuomintang sought to influence voters’ behaviour using a strategy centred on war-based fear – but this strategy did not bring about electoral victory. This study employs affective intelligence theory to examine the outcome of this election. Using a multinomial logistic regression, this study analyses the effects of war-threat perception, candidate security perception, and their interaction on voting choice. The results indicate that candidate security perception significantly influenced support for a candidate: the higher people’s sense of security toward a candidate, the more likely they were to vote for that candidate. Furthermore, we found that war-threat perception yielded different outcomes for candidates emphasising a peace-oriented campaign strategy (the Kuomintang) and those emphasising a confrontation campaign strategy (the Democratic Progressive Party). For the peace-oriented candidate, the level of war-threat perception did not affect the support generated by candidate security perception. In contrast, for the confrontation-oriented candidate, an increase in war-threat perception diminished the support derived from candidate security perception. The implications of these findings are also discussed.

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. Multinomial logistic regression results (Reference × Y = 2, Lai)

Figure 1

Figure 1. Predicted probability of voting for Hou relative to Lai by Lai’s perceived candidate security and war-threat perception.