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Gidlund, Katarina L.; Sundberg, Leif
2021 Information Polity
doi: 10.3233/IP-200230
The aim of this paper is to study over- and under representational practices in governmental expert advisory groups on digitalization to open up a dialogue on translations of digitalization. By uncovering how meanings converge and interpretations associated with technology are stabilized or maybe even closed, this research is positioned within a critical research tradition. The chosen analytical framework stretches from technological culture (i.e., how and where the myths and symbolic narratives are constructed), and a focus on the process of interpretation (i.e., the flexibility in how digitalization could be translated and attached to different political goals and values) to a dimension of firstness (addressing education, professional experiences and geographical position to explore dominance and power aspects). The results reveal a homogeneity that is potentially problematic and raises questions about the frames for interpreting what digitalization could and should be and do. We argue that the strong placement of digitalization in the knowledge base disclosed in this study hinders digitalization from being more knowledgeably translated.
Al-Hasan, Abrar; Khalil, Omar; Yim, Dobin
2021 Information Polity
doi: 10.3233/IP-190183
Digital information is a new source of political information for citizens. News websites differ in the diversity of news content that they deliver, and such difference may have varied impacts on political behavior. This study explores the impact of news website characteristics on users’ news browsing behaviors, and in turn on voting participation. Using datasets on Internet browsing and U.S. presidential elections, the study finds indications that both the popularity and apparent bias of websites have an impact on the browsing behaviors of users. Non-biased websites have more user visits and longer user visits than biased websites, which positively correlate with users’ voting behaviors. Also, the longer users navigate news websites and the more users visit the news website, the higher the apparent political participation. The paper concludes with the implications of the research for political systems and news content providers.
Przeybilovicz, Erico; Cunha, Maria Alexandra
2021 Information Polity
doi: 10.3233/IP-200243
In this study, a method was developed to allow a civil society organization to seek public budget information using open government data (OGD) available on platforms. Accordingly, an empirical study was conducted based on Design Science Research (DSR) to address how to monitor the future outcome of national education policy through e-transparency tools. The method designed, represented in a flowchart tool, revealed some aspects regarding the implications of e-transparency for the monitoring and projection of public policy accomplishment, identifying and addressing five constraints for the use of OGD platforms: granularity, traceability, correlation, accessibility, and usability. When monitoring is possible, civil society is interested in using the information to project the future outcomes of public policy rather than monitor the past, which creates a feature in envisioning the future public policy accomplishment.
Keen, Justin; Ruddle, Roy; Palczewski, Jan; Aivaliotis, Georgios; Palczewska, Anna; Megone, Christopher; Macnish, Kevin
2021 Information Polity
doi: 10.3233/IP-200264
There is a widespread belief that machine learning tools can be used to improve decision-making in health and social care. At the same time, there are concerns that they pose threats to privacy and confidentiality. Policy makers therefore need to develop governance arrangements that balance benefits and risks associated with the new tools. This article traces the history of developments of information infrastructures for secondary uses of personal datasets, including routine reporting of activity and service planning, in health and social care. The developments provide broad context for a study of the governance implications of new tools for the analysis of health and social care datasets. We find that machine learning tools can increase the capacity to make inferences about the people represented in datasets, although the potential is limited by the poor quality of routine data, and the methods and results are difficult to explain to other stakeholders. We argue that current local governance arrangements are piecemeal, but at the same time reinforce centralisation of the capacity to make inferences about individuals and populations. They do not provide adequate oversight, or accountability to the patients and clients represented in datasets.
Lorenz, Lukas; Meijer, Albert; Schuppan, Tino
2021 Information Polity
doi: 10.3233/IP-200279
Motivated by the classic work of Max Weber, this study develops an ideal type to study the transformation of government bureaucracy in the ‘age of algorithms’. We present the new ideal type – the algocracy – and position this vis-à-vis three other ideal types (machine bureaucracy, professional bureaucracy, infocracy). We show that while the infocracy uses technology to improve the machine bureaucracy, the algocracy automates the professional bureaucracy. By reducing and quantifying the uncertainty of decision-making processes in organizations the algocracy rationalizes the exercise of rational-legal authority in the professional bureaucracy. To test the value of the ideal type, we use it to analyze the introduction of a predictive policing system in the Berlin police. Our empirical analysis confirms the value of the algocracy as a lens to study empirical practices: the study highlights how the KrimPro system conditions professional assessments and centralizes control over complex police processes. This research therefore positions the algocracy in the heart of discussions about the future of the public sector and presents an agenda for further research.
Sandoval-Almazán, Rodrigo; Criado, J. Ignacio; Ruvalcaba-Gómez, Edgar A.
2021 Information Polity
doi: 10.3233/IP-180100
Open government has become a research trend among e-government scholars around the world. However, most research in this field has focused on national policies and the implementation thereof. Typically, this is related to Open Government (OG) ecosystems, data, policies and models, yet very little attention has been paid to the most basic level: the municipal/local level. The purpose of this research paper is to fill this gap. We based our research on an instrument for the assessment of OG priorities in Spanish municipalities (Gómez, Criado, & Gil-Garcia, 2017a). This instrument for assessment was adapted to Mexican municipalities. In so doing, we surveyed 67 cases of Mexican public officials working on OG or in transparency offices in municipalities across Mexico during 2017. This paper reports the findings of this exploratory research, grouping concepts of perception, and analyzing four elements of OG: 1. Open Government; 2. Transparency; 3. Citizen Participation and 4. Open Data. Going forward, we used factor analysis to group concepts and identify two principal perspectives for addressing OG policy implementation in local governments, one oriented at fostering technological innovation, and another at promoting democratic values of co-responsibility. Broadly, we discovered there is some emphasis on democratic values and some on technological innovation. We also found varying levels of knowledge on this topic in Mexican municipalities. Another finding is that OG policies are not well-defined due to a lack of resources for the promotion of genuine transparency, participation, and collaborative actions.
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