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West Ashley Library
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Wando Mount Pleasant Library
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Village Library
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St. Paul's/Hollywood Library
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Hurd/St. Andrews Library
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Dorchester Road Library
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Assessing inclusivity in online platforms through usability evaluation with Google Analytics.
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- Author(s): van den Berg, Annelieke C.; Giest, Sarah; Kraaij, Wessel
- Source:
Policy & Internet; Mar2023, Vol. 15 Issue 1, p55-77, 23p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: As online platforms are swiftly becoming a dominant interface of government–citizen interactions, it is crucial that these platforms are inclusive. This article considers the potential of using digital trace data for assessing inclusivity in online platforms. Given that Google Analytics (GA) is a popular tool for collecting and analyzing digital trace data, this article asks to what extent GA is useful in usability evaluation for assessing inclusivity. This article reports on a case study in which GA was used for the usability evaluation of an online participation platform of a local government in The Netherlands. The usability evaluation via GA highlights that the platform was less inclusive toward two categories of users, namely, mobile users and users who access the platform via social media or referral. We conclude that GA is helpful for assessing inclusivity in online government platforms, particularly to the extent that it can be used to monitor whether there are differences in usability for different categories of users. Shortcomings of GA are that it gives limited insights into underlying reasons for identified behavioral patterns, that data quality can be compromised, and that functionalities of GA are restricted based on privacy or legal considerations. [ABSTRACT FROM AUTHOR]
- Abstract: Resumen: Dado que las plataformas en línea se están convirtiendo rápidamente en una interfaz dominante de las interacciones entre el gobierno y los ciudadanos, es crucial que estas plataformas sean inclusivas. Este artículo considera el potencial del uso de datos de seguimiento digital para evaluar la inclusión en plataformas en línea. Dado que Google Analytics (GA) es una herramienta popular para recopilar y analizar datos de seguimiento digital, este artículo pregunta hasta qué punto GA es útil en la evaluación de usabilidad para evaluar la inclusión. Métodos: este artículo informa sobre un estudio de caso en el que se utilizó GA para la evaluación de la usabilidad de una plataforma de participación en línea de un gobierno local en los Países Bajos. Resultados: la evaluación de usabilidad a través de GA destaca que la plataforma fue menos inclusiva hacia dos categorías de usuarios, a saber, usuarios móviles y usuarios que acceden a la plataforma a través de redes sociales o referencias. Conclusión: Concluimos que GA es útil para evaluar la inclusión en las plataformas de gobierno en línea, particularmente en la medida en que puede usarse para monitorear si existen diferencias en la usabilidad para diferentes categorías de usuarios. Las deficiencias de GA son que brinda información limitada sobre las razones subyacentes de los patrones de comportamiento identificados, que la calidad de los datos puede verse comprometida y que las funcionalidades de GA están restringidas en función de la privacidad o las consideraciones legales. [ABSTRACT FROM AUTHOR]
- Abstract: 摘要: 鉴于在线平台迅速成为政府与公民互动的主要界面,这些平台的包容性至关重要。本文考量了使用数字追踪数据评估在线平台包容性的潜力。鉴于Google Analytics(GA)是收集和分析数字追踪数据的流行工具,本文探讨了GA在评估包容性的可用性评价中的有用程度 。 方法:本文报告了一项案例研究,其中GA被用于荷兰地方政府在线参与平台的可用性评价。 结果:通过GA进行的可用性评价强调,该平台对两类用户的包容性较低,即移动用户和通过社交媒体或推荐进行平台访问的用户。 结论:我们的结论认为,GA有助于评估在线政务平台的包容性,特别是可用于监测不同用户类型的可用性是否存在差异。GA的缺点在于,它对已识别行为模式的潜在原因的了解有限,数据质量可能会受损,并且GA的功能性因基于隐私或法律原因而受限。 [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Policy & Internet is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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