The journalistic preference for extreme exemplars: educational socialization, psychological biases, or editorial policy?

Author:

Aarøe Lene12ORCID,Andersen Kim34ORCID,Skovsgaard Morten3,Svith Flemming5,Schmøkel Rasmus6ORCID

Affiliation:

1. Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark

2. Department of Political Science, Aarhus University, Aarhus, Denmark

3. Centre for Journalism, Department of Political Science and Public Management, University of Southern Denmark, Odense, Denmark

4. University of Gothenburg Department of Journalism, Media and Communication, , Gothenburg, Sweden

5. Danish School of Media and Journalism, Aarhus, Denmark

6. University of Southern Denmark Digital Democracy Centre, , Odense, Denmark

Abstract

Abstract Exemplars are central in news reporting. However, extreme negative exemplars can bias citizens’ factual perceptions and attributions of political responsibility. Nonetheless, our knowledge of the factors shaping journalistic preferences for including exemplars in news stories is limited. We investigate the extent to which educational socialization, psychological biases, and editorial policy shape journalistic preferences for extreme negative exemplars. We field large-scale survey experiments to a population sample of journalism students, a nationally representative sample of citizens, and a representative sample of “young people” and obtain evaluations of news value, newsworthiness, and behavioral measures of the actual write-up of news articles. We find significant support for the role of editorial policy and limited support for the role of educational socialization and psychological biases. In a time where economic pressures and the proliferation of digital media potentially lead editors to prioritize clickbait, these findings suggest that structural biases in news coverage may be aggravated.

Funder

Danish National Science Foundation

Interaction Minds Centre, Aarhus University

Publisher

Oxford University Press (OUP)

Subject

Linguistics and Language,Language and Linguistics,Communication

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