Auflistung nach Titel

Gerade angezeigt 1 - 20 von 640
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    A categorized multimodal TikTok dataset
    (2023) Wedel, Lion
    This dataset encompasses 11242 entries of 5137 unique videos listed between the 31st of July and the 4th of August on the TikTok explore page (https://www.tiktok.com/explore). The page was accessed via a German IP address without being logged in. The data has been collected via the 4CAT Toolkit and the Zeeschuimer browser extension. The dataset contains the category and multimodal embeddings for each video. **Intended Purpose** The dataset is primarily intended for proof-of-concept studies, as a toy dataset to teach or to be used for seminar papers by students. Given the lack of a clear definition for each category by TikTok, the focus of such work might be to explore those definitions or to conduct work with a focus on methods. The multimodal embeddings allow for directly applying unsupervised and supervised machine learning techniques. **Contents** The dataset consists of four zipped .csv files: * – metadata.zip * – text_embeddings.zip * – audio_embeddings.zip * – video_embedding.zip **For further details, please consult the Data Report** (datenbericht_v2.pdf).
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    A centrality analysis of the Lightning Network
    (2023) Zabka, Philipp; Förster, Klaus-T.; Decker, Christian; Schmid, Stefan
    Blockchain technology has a huge impact on our digital society by enabling a more decentralized economy and policy making. This decentralization is also pivotal in payment Payment channel networks (PCNs), including the Lightning Network, have emerged as a promising solution to the scalability challenges that many blockchain-based cryptocurrencies, like Bitcoin, grapple with. These PCNs, while innovative, also inherit the rigorous dependability demands of the blockchain. A pivotal aspect of this dependability is the need for a high degree of decentralization, essential for mitigating liquidity bottlenecks and on-path attacks.
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    A Common Effort: New Divisions of Labor Between Journalism and OSINT Communities on Digital Platforms
    (2024) Charlton, Timothy; Mayer, Anna-Theresa; Ohme, Jakob
    This article explores the interactions between journalistic actors and emerging open-source intelligence and investigation (OSINT) communities. It employs qualitative content analysis of discourse from two OSINT communities surrounding three events following the Russian invasion of Ukraine in 2022, which received substantial coverage in news media. OSINT practices are rapidly becoming a mainstay of the contemporary political process by allowing ordinary citizens to verify information shared through digital platforms, which is traditionally the societal task assigned to journalism. In doing so, they provide a timely factual baseline for opinion formation and political decision-making. This research explores the role constellations resulting from this shift in verification duties from journalistic actors to amateur online communities on digital platforms and maps the fundamental dynamics involved in OSINT. We analyze how information is received and processed in OSINT communities, how digital platforms facilitate the fact-checking process, and how journalism and OSINT interact. Based on our findings, we develop a theoretical framework that distinguishes between the input, throughput, and output phases of OSINT. Our model contributes to a baseline understanding of the crucial and novel partnership between citizens and journalists on digital platforms.
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    A Decentralized Provenance Network for Linked Open Data
    (2019) Kirstein, Fabian; Qiao, Miao; Dragoni, Mauro
    With the growing availability of Linked Open Data (LOD) and the consequential generation of derived and aggregated data, the need for trustworthy, reproducible and accessible provenance informa- tion has increased. Yet, no consistent mechanism has been established to manage provenance data of LOD on a global dataset-level. Decentralized networks and peer-to-peer mechanisms have made their revival in the last years with blockchain and similar distributed ledger technologies. We propose a novel approach to track and store provenance information for LOD on a dataset-level by sharing an immutable, common state between data providers. The basic architecture will not disrupt existing methodologies and standards for publishing LOD, but will be transparently integrated into existing ecosystems as an additional layer to foster broad acceptance. We will investigate the application of emerging blockchain technologies and established Linked Data specifications for building this decentralized anchor of truth. We are actively involved in the design and implementation of LOD and Open Data platforms and will evaluate our approach in real-world scenarios regarding feasibility, governance, scalability and usability.
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    A Democratic Approach to Digital Rights: Comparing Perspectives on Digital Sovereignty on the City Level
    (2023) Pierri, Paola; Calderón Lüning, Elizabeth
    This article will be drawing on two cases to reflect on the impact of different ways of practicing civic engagement in urban digitalization policy. Both cases reflect on the importance of cities playing an active role in the promotion of digital rights, obligation of public participation in digital policy making, and need for political digital education to enable democratic conversations on digital transformation. From a democratic theory point of view, the shifts happening through the digitalization of societies raise interesting questions regarding what modes of governance should be implemented for improving digital sovereignty, which could be in line with “locally” grounded politics. Theoretically, the article will frame these issues of governance and civic participation within the literature on “digital sovereignty,” understood as going beyond national territory toward issues of independence, democratic control, and autonomy over digital infrastructures, technologies, and content.
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    A Digital Euro for the EU: A Comment on Potential Impacts
    (Weizenbaum Institute, 2022) Florian, Martin; Pernice, Ingolf G.A.
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    A multidimensional and analytical perspective on Open Educational Practices in the 21st century
    (2022) Brandenburger, Bonny
    Participatory approaches to teaching and learning are experiencing a new lease on life in the 21st century as a result of the rapid technology development. Knowledge, practices, and tools can be shared across spatial and temporal boundaries in higher education by means of Open Educational Resources, Massive Open Online Courses, and open-source technologies. In this context, the Open Education Movement calls for new didactic approaches that encourage greater learner participation in formal higher education. Based on a representative literature review and focus group research, in this study an analytical framework was developed that enables researchers and practitioners to assess the form of participation in formal, collaborative teaching and learning practices. The analytical framework is focused on the micro-level of higher education, in particular on the interaction between students and lecturers when organizing the curriculum. For this purpose, the research reflects anew on the concept of participation, taking into account existing stage models for participation in the educational context. These are then brought together with the dimensions of teaching and learning processes, such as methods, objectives and content, etc. This paper aims to make a valuable contribution to the opening up of learning and teaching, and expands the discourse around possibilities for interpreting Open Educational Practices.
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    A Pandemic of Prediction. On the Circulation of Contagion Models between Public Health and Public Safety
    (2021) Heimstädt, Maximilian; Egbert, Simon; Esposito, Elena
    Digital prediction tools increasingly complement or replace other practices of coping with an uncertain future. The current COVID-19 pandemic, it seems, is further accelerating the spread of prediction. The prediction of the pandemic yields a pandemic of prediction. In this paper, we explore this dynamic, focusing on contagion models and their transmission back and forth between two domains of society: public health and public safety. We connect this movement with a fundamental duality in the prevention of contagion risk concerning the two sides of being-at-risk and being-a-risk. Both in the spread of a disease and in the spread of criminal behavior, a person at risk can be a risk to others and vice versa. Based on key examples, from this perspective we observe and interpret a circular movement in three phases. In the past, contagion models have moved from public health to public safety, as in the case of the Strategic Subject List used in the policing activity of the Chicago Police Department. In the present COVID-19 pandemic, the analytic tools of policing wander to the domain of public health – exemplary of this movement is the cooperation between the data infrastructure firm Palantir and the UK government’s public health system NHS. The expectation that in the future the predictive capacities of digital contact tracing apps might spill over from public health to policing is currently shaping the development and use of tools such as the Corona-Warn-App in Germany. In all these cases, the challenge of pandemic governance lies in managing the connections and the exchanges between the two areas of public health and public safety while at the same time keeping the autonomy of each.
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    A Pragmatic Way to Open Management Research and Education: Playfulness, Ambiguity, and Deterritorialization
    (2022) de Vaujany, François-Xavier; Heimstädt, Maximilian
    The open science movement has reached management research and education. Around the world, management scholars discuss, probe, and evaluate ways to make their work practices less ‘closed’ and more ‘open.’ However, how exactly such new work practices change management knowledge and teaching depends, to a large extent, on practitioners’ philosophical interpretation of ‘openness.’ Today, openness in management research and education is mainly interpreted as a feature of the input to or output from knowledge work. These interpretations conceive of research and education as relatively stable entities which can be opened at some clearly defined points. Our study aims to unsettle this conception and propose a new and more radical interpretation of openness. We propose to reconsider openness via the processual approach of American Pragmatism and thereby in a sense that dispenses with requiring the predisposition of research and education as stable entities. Via this interpretation of openness, management research and education can be transformed into a co-productive democratic movement which can bring about knowledge commons interwoven with true managerial and societal problems. To offer a first description of openness as a process that can transform management research and education, we analyze ethnographic material from two types of pragmatist experiments, which the first author facilitated between 2016 and 2021. We identify three key dimensions in the process of opening research and education: playfulness, ambiguity, and deterritorialization. Our study advances debates on the question of how management research can be more immediately helpful to management practitioners and students’ concerns.
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    A Pragmatic Way to Open Management Research and Education: Playfulness, Ambiguity, and Deterritorialization
    (2022) de Vaujany, François-Xavier; Heimstädt, Maximilian
    The open science movement has reached management research and education. Around the world, management scholars discuss, probe, and evaluate ways to make their work practices less ‘closed’ and more ‘open.’ However, how exactly such new work practices change management knowledge and teaching depends, to a large extent, on practitioners’ philosophical interpretation of ‘openness.’ Today, openness in management research and education is mainly interpreted as a feature of the input to or output from knowledge work. These interpretations conceive of research and education as relatively stable entities which can be opened at some clearly defined points. Our study aims to unsettle this conception and propose a new and more radical interpretation of openness. We propose to reconsider openness via the processual approach of American Pragmatism and thereby in a sense that dispenses with requiring the predisposition of research and education as stable entities. Via this interpretation of openness, management research and education can be transformed into a co-productive democratic movement which can bring about knowledge commons interwoven with true managerial and societal problems. To offer a first description of openness as a process that can transform management research and education, we analyze ethnographic material from two types of pragmatist experiments, which the first author facilitated between 2016 and 2021. We identify three key dimensions in the process of opening research and education: playfulness, ambiguity, and deterritorialization. Our study advances debates on the question of how management research can be more immediately helpful to management practitioners and students’ concerns.
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    A review of technologies for collaborative online information seeking. On the contribution of collaborative argumentation
    (2021) Mayweg-Paus, Elisabeth; Zimmermann, Maria; Le, Nguyen-Thinh; Pinkwart, Niels
    In everyday life, people seek, evaluate, and use online sources to underpin opinions and make decisions. While education must promote the skills people need to critically question the sourcing of online information, it is important, more generally, to understand how to successfully promote the acquisition of any skills related to seeking online information. This review outlines technologies that aim to support users when they collaboratively seek online information. Upon integrating psychological–pedagogical approaches on trust in and the sourcing of online information, argumentation, and computer-supported collaborative learning, we reviewed the literature (N= 95 journal articles) on technologies for collaborative online information seeking. The technologies we identified either addressed collaborative online information seeking as an exclusive process for searching for online information or, alternatively, addressed online information seeking within the context of a more complex learning process. Our review was driven by three main research questions: We aimed to understand whether and how the studies considered 1) the role of trust and critical questioning in the sourcing of online information, 2) the learning processes at play when information seekers engage in collaborative argumentation, and 3) what affordances are offered by technologies that support users’ collaborative seeking of online information. The reviewed articles that focused exclusively on technologies for seeking online information primarily addressed aspects of cooperation (e.g., task management), whereas articles that focused on technologies for integrating the processes of information seeking into the entire learning processes instead highlighted aspects of collaborative argumentation (e.g., exchange of multiple perspectives and critical questioning in argumentation). Seven of the articles referred to trust as an aspect of seekers’ sourcing strategies. We emphasize how researchers’, users’, and technology developers’ consideration of collaborative argumentation could expand the benefits of technological support for seeking online information.
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    A Translation Service for Open Data Portals
    (2022) Urbanek, Sebastian; Schimmler, Sonja
    There exists a huge variety of Open Data portals, some of them providing just a handful, and others tens of thousands of datasets. The datasets they provide are expected to be supplied with metadata describing them. However, this metadata is typically available in one or two languages only, and, if translations exist, they are usually added manually. To build an inclusive data infrastructure, metadata should be available in as many languages as possible. The paper presents an approach for automatic translation of metadata within Open Data portals, based on Semantic Web technologies and using the metadata standard DCAT-AP. Based on this approach, new functionalities are possible, such as enabling users to search for datasets in their native language. The approach was implemented for and tested within a practical application in a production environment.
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    Active Social Media Use and Its Impact on Well-being: An Experimental Study on the Effects of Posting Pictures on Instagram
    (2023) Krause, Hannes-Vincent; große Deters, Fenne; Baumann, Annika; Krasnova, Hanna
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    Agile Methods on the Shop Floor: Towards a "Tesla Production System"?
    (Weizenbaum Institute, 2022) Daum, Timo
    This discussion paper investigates two questions: To what extend can Tesla be regarded as a digital firm, and do we - as a result - see elements of a distinct "Tesla production system"? While the EV-startup is widely approached as a competing automaker focusing on the electric drive train, which it certainly is, this paper argues that it can only fully be understood as a digital firm - a digital car company with a digital product embedded in a digital ecosystem. Its roots in Silicon Valley, its software-first approach, and its strategic exploitation of user activity data point into this direction. In the second part, this paper explores to what extent Tesla's rootedness in software and its Silicon-Valley ancestry gave reason to introduce methods borrowed from software development on the shop floor. To a certain degree, concepts from agile software development found their way to the very assembly-line at Tesla. Although it might be exaggerated to speak of a distinct "Tesla Production system", indications for a considerable and possibly enduring alteration of Lean Production paradigm can be determined.
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    AI and Inequality in Hiring and Recruiting: A Field Scan
    (Weizenbaum Institute, 2023) Dinika, Adio-Adet; Sloane, Mona
    This paper provides a field scan of scholarly work on AI and hiring. It addresses the issue that there still is no comprehensive understanding of how technical, social science, and managerial scholarships around AI bias, recruiting, and inequality in the labor market intersect, particularly vis-à-vis the STEM field. It reports on a semi-systematic literature review and identifies three overlapping meta themes: productivity, gender, and AI bias. It critically discusses these themes and makes recommendations for future work
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    AI Literacy for the Common Good
    (Weizenbaum Institute, 2024-07-16) Ullrich, Stefan; Messerschmidt, Reinhard
    Artificial Intelligence (AI) does not provide solutions to pressing social questions, such as those pertaining to a peaceful, sustainable, and socially acceptable world. However, when employed in a purposeful and critically reflective manner, it can assist in formulating more effective inquiries that can enable a better understanding of the terms “AI” and “common good.” Through implementation in response to sustainability issues and given its potential as an inclusive technology, AI could be a powerful and useful tool for the common good. Despite the possibility of useful machine learning applications in terms of a positive cost-benefit calculation for its life cycle energy and resources, the majority of AI is far too energy-hungry for model training and to scale inferences. Despite the considerable variation observed in terms of certain aspects, it is evident that AI is currently neither sustainable in itself nor primarily used for sustainability purposes to address the grand challenges of global society in a world characterized by rapid acceleration. This demands a critical understanding of how AI systems work to enable society to decide upon the areas in which we should, can, or even definitely must not use AI. Based on the UNESCO Framework for AI Competency and the Dagstuhl Declaration of the German Informatics Society, we advocate for a type of critical AI literacy that can be best taught through practical use, that is, “learning by making.” This approach leads to a concise overview of existing options that facilitate a more reflective approach to using and understanding AI, including its potential and limitations. We conclude with a practical example.
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    Akzeptanz des Einsatzes von Wearables im Betrieb durch Betriebsräte und Beschäftigte
    (Weizenbaum Institute, 2024-04-26) Krzywdzinski, Martin; Pfeiffer, Sabine; Ferdinand, Jonas; Yosefov, Or
    Wearables (z.B. Datenbrillen und Smartwatches) sind ein besonders sichtbares, aber auch umstrittenes Element von Industrie-4.0-Anwendungen. Sie versprechen eine Verbesserung der Arbeitsqualität durch Unterstützung von Beschäftigten, bergen zugleich aber auch Gefahren der Rationalisierung und vor allem Überwachung von Arbeitsprozessen. In dieser Studie wird untersucht, unter welchen Bedingungen Betriebsräte und Beschäftigte den Einsatz von Wearables im Betrieb akzeptieren. Konzeptionell baut die Analyse auf Forschung über die Rolle von Betriebsräten in Digitalisierungsprozessen sowie dem Technology Acceptance Model auf. Empirisch fußt die Analyse auf 16 qualitativen Fallstudien sowie einer Befragung von 1.046 Erwerbstätigen. Die Studie zeigt Unsicherheiten beim Umgang mit der Wearables-Technologie, aber auch insgesamt erfolgreiche Einflussnahme der Betriebsräte. Ein interessanter Kontrast zeigt sich im Hinblick auf die Wahrnehmung der Betriebsräte und der Beschäftigten. Während einige Betriebsräte die geringe Mobilisierungsfähigkeit von Beschäftigten für Datenschutzfragen beklagen, bewerten die befragten Beschäftigten den Datenschutz als Bedingung für die Akzeptanz von Wearables deutlich höher als den Nutzen für die Arbeit. Potentielle Erklärungen sind das „Privacy Paradox“, aber auch eine Unterschätzung der Potentiale der Datenschutzthematik seitens der Betriebsräte. Wearables (e.g., data glasses and smartwatches) are a particularly visible but also controversial element of Industry 4.0 applications. They promise to improve the quality of work by supporting employees, but at the same time also harbor dangers of rationalization and, above all, surveillance of work processes. This study examines the conditions under which works councils and employees accept the use of wearables in the workplace. Conceptually, the analysis builds on research on the role of works councils in digitalization processes and the Technology Acceptance Model. Empirically, the analysis is based on 16 qualitative case studies and a survey of 1,046 employees. The study shows uncertainties in dealing with wearables technology, but also overall successful influence of works councils. An interesting contrast emerges with regard to the perceptions of works councils and employees. While some works councils complain about the difficulties to mobilize employees around data protection issues, the employees surveyed rate data protection as a condition for accepting wearables significantly higher than the benefits for work. Potential explanations are the “privacy paradox”, but also an underestimation of the potential of the data protection issue on the part of the works councils.
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    Algorithm dependency in platformized news use
    (2023) Schaetz, Nadja; Gagrčin, Emilija; Toth, Roland; Emmer, Martin
    Previous research has highlighted the ambiguous experience of algorithmic news curation whereby people are simultaneously comfortable with algorithms, but also concerned about the underlying data collection practices. The present article builds on media dependency theory and news-finds-me (NFM) perceptions to explore this tension. Empirically, we analyze original survey data from six European countries (Germany, Sweden, France, Greece, Poland, and Italy, n = 2,899) to investigate how young Europeans’ privacy concerns and attitudes toward algorithms affect NFM. We find that a more positive attitude toward algorithms and more privacy concerns are related to stronger NFM. The study highlights power asymmetries in platformized news use and suggests that the ambivalent experiences might be a result of algorithm dependency, whereby individuals rely on algorithms in platformized news use to meet their information needs, despite accompanying risks and concerns.
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    Algorithmen als Rationalitätsmythos
    (FernUniversität in Hagen, 2020) Keiner, Alexandra; Leineweber, Christian; de Witt, Claudia
    Algorithmen gelten derzeit als die Antwort auf eine Vielzahl gesellschaftlicher Probleme. Von der Bekämpfung des Klimawandels über die Vorbeugung von Armut und Kriminalität bis hin zur Früherkennung von Krebs – Algorithmen scheinen eine Universallösung zu sein. Mit dem neo-institutionalistischen Konzept rationalisierter Mythen wird in diesem Beitrag versucht, für diese solutionistische Faszination eine Erklärung zu liefern.