What makes the difference? Social media platforms and party characteristics as contextual factors for political parties’ use of populist political communication

Author:

Magin Melanie1ORCID,Larsson Anders Olof2ORCID,Skogerbø Eli3ORCID,Tønnesen Hedvig1ORCID

Affiliation:

1. Department of Sociology and Political Science , Norwegian University of Science and Technology (NTNU) , Norway

2. Department of Communication , Kristiania University College , Norway

3. Department of Media and Communication , University of Oslo , Norway

Abstract

Abstract Social media has contributed to the spread of populist political communication, yet we still lack systematic knowledge of the contextual factors affecting its use. In this study, we investigated how and to what degree platforms (Facebook, Instagram, Twitter) and party characteristics (populist vs. non-populist parties; political ideology) affected the use of populist communication by Norwegian political parties on social media during the 2021 national election campaign. Based on a tripartite conceptualisation of populist communication consisting of people-centrism, anti-elitism, and the exclusion of out-groups, we conducted a standardised content analysis of the official social media accounts of nine parties and their party leaders. Populist communication was overall rather rare, being most widespread on Facebook and least widespread on Twitter. Which parties used populist communication the most depended on the platform, and it was not always the populist Progress Party [Fremskrittspartiet] that communicated in the most populist manner. Parties located towards the fringes of the political party spectrum used more populist communication. Anti-elitism was more widespread among left-wing parties, and almost exclusively the right-wing Progress Party excluded out-groups.

Publisher

Walter de Gruyter GmbH

Cited by 2 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