Digital Library of Gesellschaft für Informatik e.V.
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Datenschutzrechtliche Verantwortlichkeit von Plattformbetreibern und ihren Nutzern nach der DSGVO
No full textDie datenschutzrechtliche Verantwortlichkeit ist ein Dauerthema seit der Anwendbarkeit der DSGVO 2018. Der Beitrag befasst sich mit der datenschutzrechtlichen Verantwortlichkeit von Plattformbetreibern und ihren Nutzern. Unter Berücksichtigung insbesondere der EuGH-Rechtsprechung wird die Stellung von Betreibern von Suchmaschinen, Online-Markplätzen und Sozialen Medien untersucht. Von großer Relevanz sind dabei die EuGH-Urteile in den Rechtssachen Wirtschaftsakademie und Fashion-ID. Auch die Rolle der jeweiligen Nutzer wird beleuchtet. Hier bestehen weiterhin Unklarheiten in der rechtlichen Einstufung. Gerichtliche Verfahren sind anhängig und werden weitere Rechtssicherheit schaffen
Recht und Technik - Datenschutz im Diskurs
No full textDer Workshop „Recht und Technik – Datenschutz im Diskurs“ ist nach zwölf Jahren ein kontinuierlicher und fester Bestandteil der Jahrestagung der Gesellschaft für Informatik. Wir bieten ein Forum für Beiträge aus der Informatik, Rechtswissenschaft und benachbarter Fächer, die an Fragestellungen des technikbasierten Datenschutzes und zu Fragen der Digitalisierung arbeiten. Wie schon in den Vorjahren werden Themen adressiert, die anwendungsorientiertes Potential für interdisziplinären Diskurs und Zusammenarbeit bieten und die Möglichkeiten aufzeigen, wie neue rechtliche Fragen technisch und organisatorisch gelöst werden können bzw. welche rechtlichen Fragen sich aus neuen technischen Entwicklungen ergeben. Dabei spielt Datenschutz eine bedeutende, aber nicht die ausschließliche Rolle
How to stay Connected: Citizens' Needs on Digital Self-Organization in Neighborhoods during a Crisis
No full textDigital self-organization and collaboration in crisis are hindered not only by the absence of preparedness of citizens but also because of infrastructure disruptions. While citizens want to operate digitally, as they do outside a crisis event, they are often forced to fall back to analog actions. We conducted a survey with affected citizens (N=404) after the 2021 European floods, in which widespread infrastructure blackouts happened. With this survey, we conduct a contextual analysis of digital needs and actions. We investigate how far these were subject to infrastructure outages, how citizens were prepared, and to what degree they participated in informal neighborhood networks. Results show a massive disruption in all infrastructures, which led many citizens to fall back to analog actions. To cope with this, we suggest enhancing digital resilience by rethinking connectivity and understanding preparedness in a digital manner with the proposal of five requirements for digital self-organization in crisis to consider: (1) Digital collaboration should be preferred over analog workarounds; (2) support resilient communication technologies, including (3) being offline in the design; (4) crisis apps should be convenient and use internet-based communication when available; and (5) think of preparedness of citizens by integrating digital tools and actions
Enabling Intelligent Process Automation: First Results of a Student Project
No full textThis paper explores how a leading technology companyperceives and navigates the challenges of AI governance inthe context of IPA. Drawing on qualitative data from expertinterviews, it reveals tensions between ethicalaspirations, regulatory demands, and practicalimplementation. Key findings highlight the importance ofcross-disciplinary collaboration, adaptive governance, andethical maturity in addressing emerging complianceframeworks. The study offers early empirical insights intohow governance dynamics shape IPA development withinenabling organizations
Social Robots as Providers of Social Support?
No full textSocial robots can be providers of social support in human-robot interaction (HRI). In general, social support can have various positive effects on human well-being. However, these effects often vary with context and involved person and field of application.. Based on a three-level problematizing literature our study identifies four distinct categories of possibly limiting factors on generalizability of social support effects in HRI research, namely morphology, samples and research design, availability of and novelty in long-term studies and cultural specifics. Options for action and implications for future studies are derived
An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach
No full textIn light of the imminent labor shortage, companies find themselves compelled to enhance their standing as desirable employers in the competitive pursuit of talent. This endeavor can be facilitated through the medium of online job advertisements (OJAs), which serve as a means to subtly communicate the merits of an organization to prospective employees. The objective of this study is to develop and evaluate a topic-modeling approach, known as Latent Dirichlet Allocation (LDA), for analyzing online data. The study will also discuss the strengths and weaknesses of the approach. The work will also include considerations on social sciences theory, signaling theory, and methods will be evaluated
Automated classification of German job titles according to KldB: Challenges and novel methods
No full textThe automated classification of job titles constitutes a critical component of labor market research, survey analysis, and administrative data processing. The present study explores the classification of German job titles according to the German Classification of Occupations (KldB), with a particular emphasis on the linguistic and structural challenges that are inherent to this task. This study builds upon previous research by incorporating a variety of heterogeneous data sources, including manually annotated survey responses, a comprehensive synonym dataset, online job advertisements (OJAs), and vocational education and training titles from DAZUBI. Conventional machine learning models, including logistic regression, naive Bayes, and random forest, are employed to assess the classification performance at varying taxonomic levels of the KldB. The findings of the present study demonstrate that while substantial results can be achieved for broad occupational categories, fine-grained classification, particularly at the level of performance (5th digit), remains challenging. The findings underscore the limitations of relying solely on job titles and underscore the importance of richer contextual information and more expressive models. This work provides both an expanded dataset and a systematic analysis of classification performance, thereby establishing the foundation for future research on context-aware occupational coding in the German labor market
Global Fermentation Heritage – Interweaving Traditions and Networks in Beverage Craftsmanship
No full textThis research investigates the Intangible Cultural Heritage (ICH) of global fermentation practices. The investigation is carried out by examining the shared approaches in producing traditional beverages. Using concepts inspired by complex networks, two network models are generated, namely the Countries Network Model (CNM) and the Regions Network Model (RNM), to visualize and analyze the cultural exchanges and shared practices in beverage production. The nodes of the network models represent countries and regions for CNM and RNM, respectively. The edges are created if two nodes have common production techniques that transcend geographical boundaries. The dataset collected from high-quality, expert-rated beverages in diverse cultures emphasizes the transmission and adaptation of intangible knowledge in beverage production. The results show that regions such as Champagne in France and Tuscany in Italy are leaders in disseminating their fermentation traditions. However, countries such as the United Kingdom, Germany, and Uruguay risk losing their authentic practices. This research underscores the importance of targeted preservation efforts to safeguard endangered ICH. Finally, this research contributes to the broader discourse on cultural heritage preservation by integrating network science with cultural studies, which demonstrates innovative perspectives into the dynamics of ICH
Documenting User Research Findings: A Knowledge Management Approach for Traceability and Reuse
No full textEffective documentation is important for traceability and reuse in User Experience (UX) research, yet current practices are often fragmented and inconsistent. This paper explores what UX research documentation entails, what information is needed across the human-centered design process, and how different artifacts relate to one another. Based on an exploratory review of prior work and insights gathered during a barcamp session with 21 UX practitioners, the authors, including two highly experienced UX practitioners, developed a three-phase model (planning, documentation, and reuse). This model, created after the barcamp and informed by both the session findings and their extensive professional experience, organizes documentation around topics, methods, and results. The barcamp revealed key requirements for documentation tools (including collaboration, structure, visualization, traceability, and reusability) that guided the development of the model. Our approach addresses these needs and offers a foundation for more consistent and flexible documentation workflows. We conclude by outlining future steps toward tool evaluation and community-driven standards
Fachtagung „Innovativ – Exzellent – Sichtbar: Frauen in Wissenschaft, Wirtschaft und Gesellschaft“
No full textAm 20. und 21.März 2025 fand in Berlin die zentrale Tagung des Metavorhabens „Innovative Frauen im Fokus“ statt. Etwa 180 Teilnehmer*innen aus Wissenschaft, Wirtschaft und Medien nutzten die Gelegenheit zur Information, Diskussion und Vernetzung unter der Fragestellung, wie innovative Frauen stärker sichtbar gemacht werden können