Motivated Selective Attention During Political Ad Processing

Author:

Wang Zheng1,Morey Alyssa C.1,Srivastava Jatin2

Affiliation:

1. The Ohio State University, Columbus, OH, USA

2. Ohio University, Athens, OH, USA

Abstract

This study examines the dynamic, real-time interplay between the emotional content of political television ads and individuals’ political attitudes during ad processing based upon the Dynamic Motivational Activation (DMA) theoretical framework. Time-series cross-sectional models were developed to test the effects of three motivational inputs of emotional ads (arousing content, positivity, and negativity) and viewers’ evaluation of the featured candidates on four psychophysiological responses (heart rate, skin conductance level, corrugator electromyography, and zygomatic electromyography). As predicted by the DMA, physiological responses during ad viewing were affected by their own first- and second-order dynamic system feedback effects. These results not only support the predicted dynamic nature of the physiological system but also help disentangle message effects from the moderating and accumulating effects of the physiological system itself. Also as predicted, message motivational inputs interacted with viewers’ political attitudes to determine psychophysiological responses to the ads. Supporters of opposing political candidates showed cardiac-somatic response patterns indicative of disparate attention to the advertised information. Attentional selectivity can be a critical component in determining how information processing influences campaign message reception and effects.

Publisher

SAGE Publications

Subject

Linguistics and Language,Language and Linguistics,Communication

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3