@article{44247,
  author       = {{Teichert, Jeannine and Meister, Dorothee M.}},
  journal      = {{MedienPädagogik}},
  title        = {{{Mediale Identitätsaushandlungen deutscher MigrantInnen im Zuge des Brexit}}},
  year         = {{2023}},
}

@book{45310,
  author       = {{Teichert, Jeannine}},
  publisher    = {{Springer VS}},
  title        = {{{Wie digitale Medien die kommunikative Aushandlung von Freundschaften verändern}}},
  year         = {{2023}},
}

@inbook{44461,
  author       = {{Eckel, Julia}},
  booktitle    = {{Screen-Images. Screenshot, Screencast, In-Game Photography}},
  editor       = {{Gerling, Winfried and Möring, Sebastian and de Mutiis, Marco}},
  publisher    = {{Kadmos}},
  title        = {{{Screencasting: Documenting Processuality}}},
  year         = {{2023}},
}

@inbook{45716,
  author       = {{Eckel, Julia and Linseisen, Elisa}},
  booktitle    = {{Epidemics and Othering. The Biopolitics of COVID-19 in Historical and Cultural Perspectives}},
  editor       = {{Steinhoff, Heike}},
  publisher    = {{transcript}},
  title        = {{{The Virus Is Present, Presence Is Virulent: Being Co(m)present With Others in Times of Corona}}},
  year         = {{2023}},
}

@phdthesis{44323,
  abstract     = {{Reading between the lines has so far been reserved for humans. The present dissertation addresses this research gap using machine learning methods.
Implicit expressions are not comprehensible by computers and cannot be localized in the text. However, many texts arise on interpersonal topics that, unlike commercial evaluation texts, often imply information only by means of longer phrases. Examples are the kindness and the attentiveness of a doctor, which are only paraphrased (“he didn’t even look me in the eye”). The analysis of such data, especially the identification and localization of implicit statements, is a research gap (1). This work uses so-called Aspect-based Sentiment Analysis as a method for this purpose. It remains open how the aspect categories to be extracted can be discovered and thematically delineated based on the data (2). Furthermore, it is not yet explored how a collection of tools should look like, with which implicit phrases can be identified and thus made explicit
(3). Last, it is an open question how to correlate the identified phrases from the text data with other data, including the investigation of the relationship between quantitative scores (e.g., school grades) and the thematically related text (4). Based on these research gaps, the research question is posed as follows: Using text mining methods, how can implicit rating content be properly interpreted and thus made explicit before it is automatically categorized and quantified?
The uniqueness of this dissertation is based on the automated recognition of implicit linguistic statements alongside explicit statements. These are identified in unstructured text data so that features expressed only in the text can later be compared across data sources, even though they were not included in rating categories such as stars or school grades. German-language physician ratings from websites in three countries serve as the sample domain. The solution approach consists of data creation, a pipeline for text processing and analyses based on this. In the data creation, aspect classes are identified and delineated across platforms and marked in text data. This results in six datasets with over 70,000 annotated sentences and detailed guidelines. The models that were created based on the training data extract and categorize the aspects. In addition, the sentiment polarity and the evaluation weight, i. e., the importance of each phrase, are determined. The models, which are combined in a pipeline, are used in a prototype in the form of a web application. The analyses built on the pipeline quantify the rating contents by linking the obtained information with further data, thus allowing new insights.
As a result, a toolbox is provided to identify quantifiable rating content and categories using text mining for a sample domain. This is used to evaluate the approach, which in principle can also be adapted to any other domain.}},
  author       = {{Kersting, Joschka}},
  pages        = {{208}},
  publisher    = {{Universität der Bundeswehr München }},
  title        = {{{Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining}}},
  year         = {{2023}},
}

@inbook{46205,
  abstract     = {{We present a concept for quantifying evaluative phrases to later compare rating texts numerically instead of just relying on stars or grades. We achievethis by combining deep learning models in an aspect-based sentiment analysis pipeline along with sentiment weighting, polarity, and correlation analyses that combine deep learning results with metadata. The results provide new insights for the medical field. Our application domain, physician reviews, shows that there are millions of review texts on the Internet that cannot yet be comprehensively analyzed because previous studies have focused on explicit aspects from other domains (e.g., products). We identify, extract, and classify implicit and explicit aspect phrases equally from German-language review texts. To do so, we annotated aspect phrases representing reviews on numerous aspects of a physician, medical practice, or practice staff. We apply the best performing transformer model, XLM-RoBERTa, to a large physician review dataset and correlate the results with existing metadata. As a result, we can show different correlations between the sentiment polarity of certain aspect classes (e.g., friendliness, practice equipment) and physicians’ professions (e.g., surgeon, ophthalmologist). As a result, we have individual numerical scores that contain a variety of information based on deep learning algorithms that extract textual (evaluative) information and metadata from the Web.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Data Management Technologies and Applications}},
  editor       = {{Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}},
  isbn         = {{9783031378898}},
  issn         = {{1865-0929}},
  pages        = {{45--65}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews}}},
  doi          = {{10.1007/978-3-031-37890-4_3}},
  volume       = {{1860}},
  year         = {{2023}},
}

@article{54795,
  author       = {{Hälterlein, Jens}},
  journal      = {{Digital Culture & Society}},
  number       = {{2}},
  pages        = {{161--179}},
  title        = {{{Conflicting Values in Epidemiological Modelling, Simulation and Dashboard-Design. A Contribution to the Analysis of the Epistemisation of Pandemic Politics}}},
  volume       = {{9}},
  year         = {{2023}},
}

@article{45311,
  author       = {{Teichert, Jeannine and  Meister., D.M.}},
  journal      = {{MedienPädagogik}},
  title        = {{{Mediale Identitätsaushandlungen deutscher MigrantInnen im Zuge des Brexit}}},
  doi          = {{10.21240/mpaed/50/2022.12.03.X.}},
  year         = {{2023}},
}

@article{48603,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Today, a major technological trend is the increasing focus on the person: technical systems personalize, customize, and tailor to the person in both beneficial and troubling ways. This trend has moved beyond the realm of commerce and has become a matter of public governance, where systems for citizen risk scoring, predictive policing, and social credit scores proliferate. What these systems have in common is that they may target the person and her ethical and political dispositions, her virtues. Virtue ethics is the most appropriate approach for evaluating the impacts of these new systems, which has translated in a revival of talk about virtue in technology ethics. Yet, the focus on individual dispositions has rightly been criticized for lacking a concern with the political collective and institutional structures. This paper advocates a new direction of research into civic virtue, which is situated in between personal dispositions and structures of governance. First, it surveys the discourse on virtue ethics of technology, emphasizing its neglect of the political dimension of impacts of emerging technologies. Second, it presents a pluralist conception of civic virtue that enables us to scrutinize the impact of technology on civic virtue on three different levels of reciprocal reputation building, the cultivation of internal goods, and excellence in the public sphere. Third, it illustrates the benefits of this conceptions by discussing some paradigmatic examples of emerging technologies that aim to cultivate civic virtue.</jats:p>}},
  author       = {{Reijers, Wessel}},
  issn         = {{2210-5433}},
  journal      = {{Philosophy & Technology}},
  keywords     = {{History and Philosophy of Science, Philosophy}},
  number       = {{4}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Technology and Civic Virtue}}},
  doi          = {{10.1007/s13347-023-00669-w}},
  volume       = {{36}},
  year         = {{2023}},
}

@article{61522,
  abstract     = {{Linseisen, Elisa, 2020: High Definiton: Medienphilosophisches Image Processing, Lüneburg.}},
  author       = {{Althoff, Sebastian}},
  issn         = {{1869-3016}},
  journal      = {{ZPTh – Zeitschrift für Politische Theorie}},
  number       = {{1+2}},
  pages        = {{327--331}},
  title        = {{{Das ‚Zu Viel‘ digitaler Bilder}}},
  doi          = {{10.3224/zpth.v13i1-2.18}},
  volume       = {{13}},
  year         = {{2023}},
}

@inbook{32179,
  abstract     = {{This work addresses the automatic resolution of software requirements. In the vision of On-The-Fly Computing, software services should be composed on demand, based solely on natural language input from human users. To enable this, we build a chatbot solution that works with human-in-the-loop support to receive, analyze, correct, and complete their software requirements. The chatbot is equipped with a natural language processing pipeline and a large knowledge base, as well as sophisticated dialogue management skills to enhance the user experience. Previous solutions have focused on analyzing software requirements to point out errors such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate with users to efficiently produce correct requirements. We developed and compared three different chatbot apps that can work with built-in knowledge. We rely on ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own knowledge base, Rasa is the best system to combine the text mining and knowledge solutions at our disposal. The evaluation shows that users accept 73% of the suggested answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot.}},
  author       = {{Kersting, Joschka and Ahmed, Mobeen and Geierhos, Michaela}},
  booktitle    = {{HCI International 2022 Posters}},
  editor       = {{Stephanidis, Constantine and Antona, Margherita and Ntoa, Stavroula}},
  isbn         = {{9783031064166}},
  issn         = {{1865-0929}},
  keywords     = {{On-The-Fly Computing, Chatbot, Knowledge Base}},
  location     = {{Virtual}},
  pages        = {{419----426}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Chatbot-Enhanced Requirements Resolution for Automated Service Compositions}}},
  doi          = {{10.1007/978-3-031-06417-3_56}},
  volume       = {{1580}},
  year         = {{2022}},
}

@inbook{36183,
  author       = {{Weber, Jutta}},
  booktitle    = {{Von Menschen und Maschinen – Mensch-Maschine-Interaktionen in digitalen Kulturen}},
  editor       = {{Gerlek, Selin and Kissler, Sarah and Mämecke, Torben and Möbus, Dennis}},
  pages        = {{100--115}},
  publisher    = {{Hagen University Press}},
  title        = {{{Brave New Kachel-World? Über Zoom-Booming, Datenkontrolle und öffentliche Infrastrukturen}}},
  year         = {{2022}},
}

@inbook{36255,
  author       = {{Weber, Jutta}},
  booktitle    = {{Mensch-Maschine-Interaktion – Konzeptionelle, soziale und ethische Implikationen neuer Mensch-Technik-Verhältnisse}},
  editor       = {{Friedrich, Orsolva and Seifert, Johanna and Schleidgen, Sebastian}},
  pages        = {{71--81}},
  publisher    = {{Brill | Mentis}},
  title        = {{{Probably Approximately Correct. Epistemologische Grundlagen der Künstlichen Intelligenz}}},
  year         = {{2022}},
}

@inbook{47621,
  author       = {{Althoff, Sebastian}},
  booktitle    = {{Mimesis Expanded: Die Ausweitung der mimetischen Zone}},
  editor       = {{Balke, Friedrich and Linseisen, Elisa}},
  pages        = {{343–362}},
  publisher    = {{Wilhelm Fink}},
  title        = {{{Zweierlei Homophilie: Wendy Hui Kyong Chun und Leo Bersani}}},
  doi          = {{10.30965/9783846764947_016}},
  year         = {{2022}},
}

@misc{47666,
  author       = {{Miggelbrink, Monique}},
  booktitle    = {{Cargo H. 56}},
  pages        = {{72--74}},
  title        = {{{Musterbildungen. Ein alternativer Zugang zur Fernsehgeschichte: Über Lynn Spigels TV Snapshots – An Archive of Everyday Life}}},
  year         = {{2022}},
}

@inbook{47707,
  author       = {{Bartz, Christina}},
  booktitle    = {{Following. Ein Kompendium zu Medien der Gefolgschaft und Prozesse des Folgens}},
  editor       = {{Ganzert, Anne and Hauser, Philip and Otto, Isabell}},
  isbn         = {{9783110676228}},
  publisher    = {{ de Gruyter}},
  title        = {{{Teilen und die mediale Logik des Dabei-seins}}},
  year         = {{2022}},
}

@article{51750,
  author       = {{Schulz, Christian}},
  journal      = {{Behemoth . A Journal on Civilisation }},
  number       = {{2}},
  pages        = {{37--47}},
  publisher    = {{Universitätsbibliothek Freiburg }},
  title        = {{{Reziprozität und das alteritäre Dritte – Über die wechselseitigen Verflechtungen von PageRank und sozialen Medien}}},
  doi          = {{10.6094/behemoth.2022.15.2.1079}},
  volume       = {{15}},
  year         = {{2022}},
}

@proceedings{53803,
  editor       = {{Kersting, Joschka}},
  location     = {{Barcelona, Spain}},
  publisher    = {{IARIA}},
  title        = {{{PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications}}},
  year         = {{2022}},
}

@inbook{41792,
  author       = {{Fuchs, Christian}},
  booktitle    = {{Soziale Ordnungen des Sterbens}},
  editor       = {{von Gahlen-Hoops, Wolfgang}},
  publisher    = {{transcript Verlag}},
  title        = {{{Der Tod und die Liebe: Die Metaphysik der Kommunikation}}},
  year         = {{2022}},
}

@article{33256,
  author       = {{Fuchs, Christian and Unterberger, Klaus}},
  journal      = {{Public Value Texte}},
  pages        = {{54--63}},
  title        = {{{Transform the Internet: Why we Need a Public Service Internet}}},
  volume       = {{25}},
  year         = {{2022}},
}