We are What We Consume: Predicting Independent Voters’ Voting Preference From Their Media Diet Color

Chingching Chang, Yu-Chuan Hung, Morris Hsieh
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Abstract

Party identification is an important predictor of voting preference, but because a growing percentage of voters do not express any party identification, alternative ways to anticipate voting preferences are required. Partisan slants in voters’ media consumption might offer a relevant proxy. With method triangulation, the current study explores whether media consumption prior to elections can predict voting preferences among independents. Depending on the media outlets adopted by voters and their partisan skew, as detected by Bert machine learning models, the authors calculate an overall partisan slant for each voter’s political information consumption. Data from a nationwide panel survey conducted in Taiwan affirm that their media diet “color” in 2019 can predict independent voters' choices in 2020.
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我们就是我们所消费的:从媒体饮食色彩预测独立选民的投票偏好
党派认同是预测投票倾向的一个重要指标,但由于越来越多的选民不表达任何党派认同,因此需要有其他方法来预测投票倾向。选民媒体消费中的党派倾向可能是一个相关的替代指标。通过三角测量法,本研究探讨了选举前的媒体消费能否预测无党派人士的投票倾向。作者根据伯特机器学习模型检测到的选民采用的媒体渠道及其党派倾向,计算出每个选民政治信息消费的总体党派倾向。在台湾进行的一项全国性面板调查的数据证实,他们在 2019 年的媒体饮食 "色彩 "可以预测独立选民在 2020 年的选择。
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