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- ItemA categorized multimodal TikTok dataset(2023) Wedel, LionThis 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).
- ItemA Digital Euro for the EU: A Comment on Potential Impacts(Weizenbaum Institute, 2022) Florian, Martin; Pernice, Ingolf G.A.
- ItemA multidimensional and analytical perspective on Open Educational Practices in the 21st century(2022) Brandenburger, BonnyParticipatory 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.
- ItemA Pandemic of Prediction. On the Circulation of Contagion Models between Public Health and Public Safety(2021) Heimstädt, Maximilian; Egbert, Simon; Esposito, ElenaDigital 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.
- ItemA Pragmatic Way to Open Management Research and Education: Playfulness, Ambiguity, and Deterritorialization(2022) de Vaujany, François-Xavier; Heimstädt, MaximilianThe 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.
- ItemA review of technologies for collaborative online information seeking. On the contribution of collaborative argumentation(2021) Mayweg-Paus, Elisabeth; Zimmermann, Maria; Le, Nguyen-Thinh; Pinkwart, NielsIn 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.
- ItemA Translation Service for Open Data Portals(2022) Urbanek, Sebastian; Schimmler, SonjaThere 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.
- ItemAccess and benefit-sharing on digital sequence information: Policy paper in view of the COP15 UN Biodiversity Conference in Montreal in December 2022(Weizenbaum Institute, 2022) Klünker, Irma
- ItemActive 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
- ItemAgile Methods on the Shop Floor: Towards a "Tesla Production System"?(Weizenbaum Institute, 2022) Daum, TimoThis 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.
- ItemAI and Inequality in Hiring and Recruiting: A Field Scan(Weizenbaum Institute, 2023) Dinika, Adio-Adet; Sloane, MonaThis 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
- ItemAlgorithm dependency in platformized news use(2023) Schaetz, Nadja; Gagrčin, Emilija; Toth, Roland; Emmer, MartinPrevious 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.
- ItemAlgorithmen als Rationalitätsmythos(FernUniversität in Hagen, 2020) Keiner, Alexandra; Leineweber, Christian; de Witt, ClaudiaAlgorithmen 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.
- ItemAlgorithmen der Alterität - Alterität der Algorithmen. Überlegungen zu einem komplexen Verhältnis(2023) Berg, Sebastian; Koster, Ann-Kathrin; Matzner, Tobias; Maschewski, Felix; Nosthoff, Anna-Verena
- ItemAlgorithmic Governmentality, Digital Sovereignty, and Agency Affordances: Extending the Possible Fields of Action(Weizenbaum Institute, 2023) Pop Stefanija, Ana; Pierson, JoIn today’s socio-technical constellations, our daily online and offline lives are increasingly governed by what can be termed algorithmic governmentality. Understood as the governing of the social based on the algorithmic processing of big data, algorithmic governmentality significantly limits human agency and individuals’ abilities to control data inputs and algorithmic outputs. An antidote and a solution to governance of this kind require assembling conditions for enabling digital sovereignty. Seen as a counter-conduct to governmentality, sovereignty concerns agency, control, autonomy, authority, self-reflection, and self-determination. Foregrounded on empirical research that relates specifically to platform algorithms, this article discusses the requirements for the digital sovereignty of individuals and the socio-technical conditions that should enable that sovereignty. By introducing and conceptualizing the notion of agency affordances, the article provides several illustrative examples of how this sovereignty can be inscribed through the technical and unfold via the societal.
- ItemAlgorithmic Management in the Food Delivery Sector – A Contested Terrain? Evidence from a Form-Level Case-Study on Algorithmic Management and Co-Determination(Weizenbaum Institute, 2023) Wotschack, Philip; Hellbach, Leon; Butollo, Florian; Ziour, JordiForms of algorithmic management (AM) play an essential role in organizing food delivery work by deploying AI-based systems for coordinating driver routes. Given the risks of precarity and threats posed by AM that are typically related to (migrant) platform work, the question arises to what extent structures of co-determination are able to positively shape this type of work and the technologies involved. Based on an intense case-study in a large food delivery company, this paper is guided by three questions: (1) How is algorithm-based management and control used by the company? (2) How is it perceived by the couriers, also in relation to other aspects of their work? (3) What are the works council’s priorities, strategies, and achievements regarding co-determination practices? Contrary to the prevalent perception in the literature on the subject of AM, our analysis shows that human agency is still pivotal when algorithm-based systems are used to manage work processes. While data- and AM-related issues do not represent a central area of conflict, we find that co-determination rights in this domain can translate into a powerful bargaining resource of the works council with regard to the companies’ digital business model. Our study also shows that algorithmic management poses problems of non-transparency and information asymmetry, which calls for new forms and procedures of co-determination.
- ItemAlgorithmic Management: Bright and Dark Sides, Practical Implications, and Research Opportunities(2022) Benlian, Alexander; Wiener, Martin; Cram, Alec; Krasnova, Hanna; Mädche, Alexander; Möhlmann, Mareike; Recker, Jan; Remus, Ulrich
- ItemAlgorithmic regulation. A maturing concept for investigating regulation of and through algorithms(2022) Ulbricht, Lena; Yeung, KarenThis paper offers a critical synthesis of the articles in this Special Issue with a view to assessing the concept of “algorithmic regulation” as a mode of social coordination and control articulated by Yeung in 2017. We highlight significant changes in public debate about the role of algorithms in society occurring in the last five years. We also highlight prominent themes that emerge from the contributions, illuminating what is distinctive about the concept of algorithmic regulation, reflecting upon some of its strengths, limitations, and its relationship with the broader research field. In closing, we argue that the core concept is valuable and maturing. It has evolved into an analytical bridge that fosters cross-disciplinary development and analysis in ways that enrich its early “skeletal” form, thereby enabling careful and context-sensitive analysis of algorithmic regulation in concrete settings while facilitating critical reflection concerning the legitimacy of existing and proposed regulatory regimes.
- ItemAn Interdisciplinary Exploration of Data Culture and Vocational Training(Weizenbaum Institute, 2019) Etsiwah, Bennet; Hecht, Stefanie; Hilbig, RomyIn this interdisciplinary paper we discuss the intersection of organizational data culture and vocational education and training (VET). Building on a preliminary definition of data culture and an explorative analysis of data-related value propositions in the German VET market, we analyze how VET providers address organizational challenges in the wake of big data and digitization that affect many of today’s organizations, regardless of their traditional industry. We argue that if organizations want to implement a data culture, their employees have to receive appropriate trainings that convey relevant skills and competencies.