Click to Count: The Effects of Nonpartisan Cue Endorsements in Selecting Political Information

IF 1.9 Q2 POLITICAL SCIENCE Journal of Political Marketing Pub Date : 2021-02-17 DOI:10.1080/15377857.2021.1884166
B. Calfano, Jelena Vićić
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Abstract

Abstract The endorser effects literature expects the public to be swayed by cues offered by trusted or liked sources. A useful question for political marketing scholars is whether inherently nonpartisan cues impact public willingness to access nonpartisan political information. We use two social media-based field experiments and two survey-embedded experiments to test whether a randomly assigned visual marketing endorsement of political information by a known nonpartisan organization in paid ads (i.e., the League of Women Voters) encourages users to click on an information video about upcoming elections. We found an overwhelming subject response to the information video when the League of Women Voters (i.e., the endorser) cue is present, relative to the control group that received no cue in either the field or survey experiments (and controlling for partisanship and political interest in the survey experiments).
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点击计数:无党派提示在选择政治信息中的作用
背书效应研究认为,公众会被可信或受欢迎的信息源所提供的线索所左右。对于政治营销学者来说,一个有用的问题是,固有的无党派暗示是否会影响公众获取无党派政治信息的意愿。我们使用两个基于社交媒体的现场实验和两个嵌入调查的实验来测试由一个已知的无党派组织(即妇女选民联盟)在付费广告中随机分配的政治信息的视觉营销背书是否会鼓励用户点击关于即将到来的选举的信息视频。我们发现,当女性选民联盟(即背书者)提示出现时,相对于在现场或调查实验中没有收到提示的对照组(并在调查实验中控制党派和政治利益),对信息视频的反应是压倒性的。
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来源期刊
Journal of Political Marketing
Journal of Political Marketing POLITICAL SCIENCE-
CiteScore
4.10
自引率
8.30%
发文量
15
期刊介绍: The Journal of Political Marketing aims to be the leading scholarly journal examining the latest developments in the application of marketing methods to politics. As the political world becomes more complex and interwoven, it is imperative for all interested parties to stay abreast of “cutting edge” tools that are used in unique and different ways in countries around the world. The journal goes beyond the application of advertising to politics to study various strategic marketing tools such as: Voter segmentation Candidate positioning Use of multivariate statistical modeling to better understand the thinking and choices made by voters.
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