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Digidem Digest - Issue 26 (May 2020)
No full textThe Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter
Serious games in learning factories. Perpetuating knowledge in learning loops by game-based learning
Get PDFThe usage of gamification in the contexts of commerce, consumption, innovation or eLearning in schools and universities has been extensively researched. However, the potentials of serious games to transfer and perpetuate knowledge and action patterns in learning factories have not been levered so far. The goal of this paper is to introduce a serious game as an instrument for knowledge transfer and perpetuation. Therefore, reqirements towards serious games in the context of learning factories are pointed out. As a result, that builds on these requirements, a serious learning game for the topic of Industry 4.0 is practically designed and evaluated
"Digital Taylorism"? Data Practices and Governance in the Enterprise Software Salesforce
Get PDFThis paper provides an investigation of the economy of the enterprise software Salesforce. The investigation looks at epistemologically distinct practices inscribed in enterprise software and challenges the notion of “digital Taylorism” by looking closer at current as well as historical practices of process management. While Taylor’s systematic approach involved a combination of distributed practices, Salesforce is an enterprise software platform that connects these practices digitally. Rather than examining the role of workers, the paper focuses particularly on the media techniques of Taylorism and the technologies in contemporary working environments that render organizational structures and courses of action available for algorithmic governance. Thereby, the paper seeks to contribute an additional theorization for organization studies and media theory. The mediated practices are conceptualized in four categories that allow for a contrast of Taylor’s approach with contemporary process management practices. In addition to an analysis of Taylor’s original texts and a document analysis of Salesforce whitepapers, this paper also presents empirical insights. The paper aims to shed light on the relation between techniques involved in Taylorist process management and governing modes of the enterprise software Salesforce.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Das Ende des Teilens?
Get PDFCarsharing hat sich hierzulande als ernstzunehmende Alternative für das eigene Auto und zu einem prägenden Element der Mobilitätslandschaft entwickelt. Laut Bundesverband CarSharing gibt es seit Beginn des Jahres 2020 in Deutschland rund 25.000 geteilte Pkw, die ungefähr zu gleichen Teilen auf stationsgebundene und -ungebundene Angebote entfallen. Obgleich in der Sharing Economy das Mantra „teilen statt besitzen“ den temporären und flexiblen Zugang zu oft teuren Ressourcen verspricht und so Teilhabe auch ohne exklusives Privateigentum ermöglicht, wird dieses Mantra in der aktuellen Krise zum Problem
Bias in data‐driven artificial intelligence systems—An introductory survey
Get PDFArtificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deployment to ensure social good while still benefiting from the huge potential of the AI technology. The goal of this survey is to provide a broad multidisciplinary overview of the area of bias in AI systems, focusing on technical challenges and solutions as well as to suggest new research directions towards approaches well‐grounded in a legal frame. In this survey, we focus on data‐driven AI, as a large part of AI is powered nowadays by (big) data and powerful machine learning algorithms. If otherwise not specified, we use the general term bias to describe problems related to the gathering or processing of data that might result in prejudiced decisions on the bases of demographic features such as race, sex, and so forth.European Commission, Grant/Award Number: 86063
Supplemental Material for “Unravelling the Role of Data in Industrial Value Chains”
Get PDFTable 1: Overview of interviewed companies and expert
Rezension von: Willke, Helmut. Komplexe Freiheit. Konfigurationsprobleme eines Menschenrechts in der globalisierten Moderne, 308 S., transcript, Bielefeld 2019.
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Frequencies, Drivers, and Solutions to News Non-Attendance: Investigating Differences Between Low News Usage and News (Topic) Avoidance with Conversational Agents
Get PDFLow levels of news seeking can be problematic for an informed citizenry. Previous research has discussed different types of news non-attendance but conceptual ambiguities between low news usage, general news avoidance, and news topic avoidance still exist. By using a longitudinal design conducted with a chatbot survey among Dutch users (n = 189), this study provides first empirical evidence that helps clarify conceptual differences. First, it estimates the prevalence of these different types of news non-attendance. Second, it tests to what extend cognitive restrictions, quality assessments, and personal relevance are relevant predictors in explaining engagement in three types of non-attendance to news. Third, the study investigates how news usage behaviors (e.g., news curation, news snacking, and verification engagement) may serve as potential user-driven counter strategies against news avoidance. We find evidence for the conceptual differences. Only small shares of news non-attendance are explained by avoidance motivations. Especially news curation and verification engagement can mitigate common drivers of news avoidance, while news snacking reinforces them
Conditions to Strengthen Future Cross-Border Journalism
Get PDFThis work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“