@book{35896, author = {{Fuchs, Christian}}, isbn = {{978-3-7799-7144}}, publisher = {{Beltz Juventa}}, title = {{{Der digitale Kapitalismus. Arbeit, Entfremdung und Ideologie im Informationszeitalter}}}, year = {{2023}}, } @inbook{38150, author = {{Fuchs, Christian}}, booktitle = {{Adorno und die Medien: Kritik, Relevanz, Ethik}}, editor = {{ Popp, Judith-Frederike and Voropai, Lioudmila}}, pages = {{215--236}}, publisher = {{Kulturverlag Kadmos}}, title = {{{Adorno and the Media in Digital Capitalism}}}, year = {{2023}}, } @book{42949, author = {{Fuchs, Christian}}, isbn = {{9781032362724}}, publisher = {{Routledge}}, title = {{{Digital Democracy and the Digital Public Sphere}}}, volume = {{6}}, year = {{2023}}, } @book{42938, author = {{Allmer, Thomas}}, publisher = {{Routledge}}, title = {{{Universities and Academic Labour in Times of Precarisation and Digitalisation}}}, year = {{2023}}, } @book{37189, author = {{Fuchs, Christian}}, publisher = {{Routledge}}, title = {{{Digital Ethics. Media, Communication and Society Volume Five}}}, year = {{2023}}, } @article{46749, author = {{Fuchs, Christian}}, journal = {{Theory and Society}}, number = {{6}}, pages = {{995--1029}}, title = {{{A Marxist-Humanist Perspective on Stuart Hall's Communication Theory}}}, doi = {{10.1007/s11186-023-09524-5}}, volume = {{52}}, year = {{2023}}, } @inbook{49089, author = {{Christian, Fuchs}}, booktitle = {{Theorien des digitalen Kapitalismus}}, editor = {{Carstensen, Tanja and Schaupp, Simon and Sevignani, Sebastian}}, pages = {{215--236}}, publisher = {{Suhrkamp}}, title = {{{Anmerkungen zum Begriff des digitalen Kapitalismus.}}}, year = {{2023}}, } @book{47550, author = {{Fuchs, Christian}}, publisher = {{UVK, utb}}, title = {{{Grundlagen der Medienökonomie: Medien, Wirtschaft und Gesellschaft.}}}, doi = {{10.36198/9783838560779}}, year = {{2023}}, } @misc{51741, booktitle = {{Navigationen – Zeitschrift für Medien- und Kulturwissenschaften }}, editor = {{Schulz, Christian and Schröter, Jens and Ernst, Christoph }}, issn = {{1619-1641}}, pages = {{196}}, publisher = {{Universi Verlag }}, title = {{{Tech/Imaginations}}}, doi = {{http://dx.doi.org/10.25819/ubsi/10428}}, volume = {{2}}, year = {{2023}}, } @article{50603, abstract = {{Mathematical models and computer simulations play a crucial role in the context of the COVID-19 crisis for knowledge about the possible course of the pandemic and for appropriate policy decisions. The paper presents results from an ethnographic study of a government-funded R & D project dealing with agent-based modeling and simulation (ABMS) in the context of pandemic management. Based on the assumption that the use of computer simulations in pandemic management is not only a means to an end for political or epidemiological goals but also plays a significant role in determining which goals and strategies appear politically legitimate, the paper reconstructs how insights into the pandemic are generated in ABMS and specifically in the researched project and made accessible for decision-making.}}, author = {{Hälterlein, Jens}}, issn = {{2567-8833}}, journal = {{TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis}}, keywords = {{General Medicine}}, number = {{1}}, pages = {{30--35}}, publisher = {{Oekom Publishers GmbH}}, title = {{{Agentenbasierte Modellierung und Simulation im Pandemiemanagement}}}, doi = {{10.14512/tatup.32.1.30}}, volume = {{32}}, year = {{2023}}, } @book{47617, abstract = {{Die Warnung von Eltern, aufzupassen, was man online teilt, ist allgegenwärtig. Dem schließen sich Datenschützer*innen an und gebieten einen bewussten und sparsamen Umgang mit Diensten und Daten. Eine digitale Desökonomie widersetzt sich diesen Warnungen und sucht den kritischen Umgang mit der digitalen Gegenwartskultur nicht in der Askese, sondern im Exzess. Kunstwerke, Bilder und Daten sind »zu viel«, türmen sich auf und wiederholen sich ständig. Mit Bezug auf Ansätze der Gouvernementalität, der Queer Theory und auf Theorien von Georges Bataille und Roger Caillois analysiert Sebastian Althoff diese unproduktive Produktionsweise des Digitalen und zeigt eine Praxis auf, die Trägheit statt flow schafft.}}, author = {{Althoff, Sebastian}}, isbn = {{9783839466902}}, publisher = {{transcript}}, title = {{{Digitale Desökonomie: Unproduktivität, Trägheit und Exzess im digitalen Milieu}}}, year = {{2023}}, } @book{44246, author = {{Teichert, Jeannine}}, publisher = {{Springer VS}}, title = {{{Digital occupants – Wie digitale Medien die kommunikative Aushandlung von Freundschaften verändern}}}, year = {{2023}}, } @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}}, }