Information architecture on the websites of major American political parties: Qualitative-heuristic assessment and comparative analysis

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Science Pub Date : 2023-09-11 DOI:10.1177/01655515231196392
Paulina Sajna-Kosobucka, Radoslaw Sajna-Kunowsky
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Abstract

The Internet has become a very important tool of modern political communication. Political parties use it for a variety of purposes, including relationships with its supporters and potential voters. Therefore, the website of any political party is an important channel of communication. Such a website should be user-friendly to various audiences. The purpose of the article is to assess the quality of information architecture (IA) on the websites of the two major American political parties: the Republican Party and the Democratic Party. Triangulation of methods was used in the research: a qualitative-heuristic assessment of the IA on the mentioned websites, expert assessment and a comparative analysis. Within the examined websites, there is a noticeable lack of some important components of the IA. The website of the Republican Party is slightly better in terms of quality than the website of Democratic Party by 14.09%. The results of the conducted research may have an impact not only on the assessment of the technological advancement of parties but also on the image and public perception, and therefore also the effectiveness in reaching voters of a given party. This approach should contribute to the development of websites research in order to improve the quality of user experience and information processes.
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美国主要政党网站的信息架构:定性启发式评估与比较分析
互联网已成为现代政治传播的重要工具。政党将其用于各种目的,包括与其支持者和潜在选民的关系。因此,任何政党的网站都是重要的沟通渠道。这样的网站应该是用户友好的各种受众。本文的目的是评估美国两大政党(共和党和民主党)网站上的信息架构(IA)的质量。在研究中使用了三角法:对上述网站的IA进行定性启发式评估,专家评估和比较分析。在接受检查的网站中,明显缺乏保险业监督的一些重要组成部分。共和党网站的质量略好于民主党网站14.09%。所进行的研究结果不仅可能影响对政党技术进步的评估,还可能影响到形象和公众的看法,从而影响到某一政党接触选民的有效性。这种方法应该有助于网站研究的发展,以提高用户体验和信息处理的质量。
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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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