Ideological differences in engagement in public debate on Twitter

Author:

Gaisbauer FelixORCID,Pournaki Armin,Banisch Sven,Olbrich EckehardORCID

Abstract

This article analyses public debate on Twitter via network representations of retweets and replies. We argue that tweets observable on Twitter have both a direct and mediated effect on the perception of public opinion. Through the interplay of the two networks, it is possible to identify potentially misleading representations of public opinion on the platform. The method is employed to observe public debate about two events: The Saxon state elections and violent riots in the city of Leipzig in 2019. We show that in both cases, (i) different opinion groups exhibit different propensities to get involved in debate, and therefore have unequal impact on public opinion. Users retweeting far-right parties and politicians are significantly more active, hence their positions are disproportionately visible. (ii) Said users act significantly more confrontational in the sense that they reply mostly to users from different groups, while the contrary is not the case.

Funder

Horizon 2020 Framework Programme

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference52 articles.

1. Analyzing Political Communication with Digital Trace Data

2. Crisis communication in natural disasters: The Queensland floods and Christchurch earthquakes;A Bruns;Twitter and society [Digital Formations, Volume 89],2014

3. Twitter and Facebook are not representative of the general population: Political attitudes and demographics of British social media users;J Mellon;Research & Politics,2017

4. Mislove A, Lehmann S, Ahn YY, Onnela JP, Rosenquist JN. Understanding the demographics of Twitter users. In: Fifth international AAAI conference on weblogs and social media; 2011.

5. Twitter as a news source: How Dutch and British newspapers used tweets in their news coverage, 2007–2011;M Broersma;Journalism practice,2013

Cited by 18 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