Policy Making Analysis and Practitioner User Experience
This article presents the work on social media analysis-driven policy-making platforms that are powered by classic social media analysis technologies, such as policy modelling, linguistic analysis, opinion mining, sentiment analysis and information visual
- PDF / 1,449,158 Bytes
- 17 Pages / 439.37 x 666.142 pts Page_size
- 83 Downloads / 239 Views
Abstract. This article presents the work on social media analysis-driven policymaking platforms that are powered by classic social media analysis technologies, such as policy modelling, linguistic analysis, opinion mining, sentiment analysis and information visualization. The approach examines the user design perspective towards user experience in policymaking for all the innovative modules used. The technology behind such complex task is presented while the resulting platform is appraised on the potential for real world application. The findings drive the development and the requirements for the summative usability assessment tests. We also report on the level the practitioners adopted the policy formulation tools. Keywords: Policy making · Social network analysis · Opinion mining · Content analysis · Natural language interfaces · User experience
1 Introduction The increasing computational power and the adoption of modern software frameworks have driven the development of more and more impressive user-friendly interface designs for different users’ requirements [1]. Successful approaches formulate the suitable design, functionalities and satisfying user experience for their target users as main stakeholders [2]. It is evident that identifying correctly the stakeholders needs, even analysing and visualizing various sources of big data on any level (quantitative, qualitative, semantic, etc.), is a prerequisite. Identifying the end-users and what they really need from an interface, module or application can make the difference between success and failure of the design, especially in complex environment like the policy making stages [3]. The article examines a set of Information Communication Technology (ICT) tools in the policy making process especially in parliamentary policy cycle. These tools use © Springer Nature Switzerland AG 2020 C. Stephanidis et al. (Eds.): HCII 2020, LNCS 12423, pp. 415–431, 2020. https://doi.org/10.1007/978-3-030-60114-0_29
416
D. Koryzis et al.
crowdsourcing, data analysis, brand monitoring, content analysis and opinion mining to visualise critical insights to assist the decision makers. The decision makers utilise the integrated policy making analytics tools to gain a clear and fast overview of the citizens’ arguments, sentiments, opinions and trend analyses in the policy making arena. The relevant market for software products, offers several tools for policy formulation and validation, but it is relatively new and limited when it comes to dedicated analysis for policy making. On the other hand, the market for data collection, sentiment analysis, opinion mining, argument extraction, linguistic analysis for web content is already quite developed and highly competitive as there are solutions from a variety of organisations already in market [4–6]. One may find several applications for potential customers like political institutions, mass media organisations, individual politicians and policy makers based on the social media analysis. But these tend to ignore the user experience of the
Data Loading...
