TY - CHAP AU - Fuchs, Christian ID - 48552 T2 - Yuqi Na: The Chinese Internet. Political Economy and Digital Discourse TI - Preface ER - TY - BOOK AU - Christian, Fuchs ID - 49088 TI - Media, Economy and Society: A Critical Introduction. ER - TY - CHAP AU - Degeling, Jasmin AU - Haffke, Maren ED - Bee, Julia ED - Gradinari, Irina ED - Köppert , Katrin ID - 50812 T2 - digital:gender - de:mapping affect. Eine spekulative Kartographie TI - Sorgeprakiken der Online-Rechten – Jordan Petersons Therapeutik des ,Self-Authoring' ER - TY - CHAP AU - de Gruisbourne, Birte AU - Schulz, Christian ED - Çiçek, Özgür ED - Savaş, Özlem ID - 51747 T2 - Inquiring healing across screen cultures: Recuperating narratives, mediums, and creativities TI - A Healing Media System of Care - Cancer Diaries and Social Media ER - TY - BOOK ED - Adelmann, Ralf ED - Matzner, Tobias ED - Miggelbrink, Monique ED - Schulz, Christian ID - 51764 TI - Filter – Medienwissenschaftliche Symposien der DFG ER - TY - CHAP AU - Fuchs, Christian ED - Litschka, Michael ED - Paganini, Claudia ED - Rademacher, Lars ID - 51364 SN - 9783748942801 T2 - Digitalisierte Massenkommunikation und Verantwortung TI - Grundlagen einer Ethik des Radikalen Digitalen Humanismus ER - TY - CHAP AU - Althoff, Sebastian ED - Gasparavicius, Gediminas ED - Toteva, Maia ED - Williams, Tom ID - 47619 T2 - Walking with the Enemy: Reclaiming the Language of Power and Manipulation in the Post-Truth Era TI - Walking with Images: Mimetic-Automatic Production in Hasan Elahi’s Tracking Transcience ER - TY - JOUR AU - Fuchs, Christian ID - 52690 IS - 1 JF - tripleC: Communication, Capitalism & Critique TI - Vincent Mosco’s Critical-Humanist Political Economy of Communication VL - 22 ER - TY - CHAP AU - Fuchs, Christian ED - Schönefeld, Daniel ED - von Gahlen-Hoops, Wolfgang ID - 35151 SN - 978-3-8394-6154-9 T2 - Soziale Ordnungen des Sterbens: Theorie, Methodik und Einblicke in die Vergänglichkeit TI - Der Tod und die Liebe: Die Metaphysik der Kommunikation ER - TY - BOOK AU - Fuchs, Christian ID - 37189 TI - Digital Ethics. Media, Communication and Society Volume Five ER - TY - BOOK AU - Fuchs, Christian ID - 35896 SN - 978-3-7799-7144 TI - Der digitale Kapitalismus. Arbeit, Entfremdung und Ideologie im Informationszeitalter ER - TY - CHAP AU - Fuchs, Christian ED - Popp, Judith-Frederike ED - Voropai, Lioudmila ID - 38150 T2 - Adorno und die Medien: Kritik, Relevanz, Ethik TI - Adorno and the Media in Digital Capitalism ER - TY - BOOK AU - Allmer, Thomas ID - 42938 TI - Universities and Academic Labour in Times of Precarisation and Digitalisation ER - TY - BOOK AU - Teichert, Jeannine ID - 44246 TI - Digital occupants – Wie digitale Medien die kommunikative Aushandlung von Freundschaften verändern ER - TY - JOUR AU - Teichert, Jeannine AU - Meister, Dorothee M. ID - 44247 JF - MedienPädagogik TI - Mediale Identitätsaushandlungen deutscher MigrantInnen im Zuge des Brexit ER - TY - BOOK AU - Teichert, Jeannine ID - 45310 TI - Wie digitale Medien die kommunikative Aushandlung von Freundschaften verändern ER - TY - JOUR AU - Teichert, Jeannine AU - Meister., D.M. ID - 45311 JF - MedienPädagogik TI - Mediale Identitätsaushandlungen deutscher MigrantInnen im Zuge des Brexit ER - TY - CHAP AU - Eckel, Julia ED - Gerling, Winfried ED - Möring, Sebastian ED - de Mutiis, Marco ID - 44461 T2 - Screen-Images. Screenshot, Screencast, In-Game Photography TI - Screencasting: Documenting Processuality ER - TY - CHAP AU - Eckel, Julia AU - Linseisen, Elisa ED - Steinhoff, Heike ID - 45716 T2 - Epidemics and Othering. The Biopolitics of COVID-19 in Historical and Cultural Perspectives TI - The Virus Is Present, Presence Is Virulent: Being Co(m)present With Others in Times of Corona ER - TY - THES AB - 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. AU - Kersting, Joschka ID - 44323 TI - Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining ER -