@article{58347,
  author       = {{Godau, Marc and Gosmann, Phillip}},
  journal      = {{Auditive Medienkulturen. ‘The Evolution of Sound’? Soundkulturelle Praktiken in Social Media-Mikroformaten}},
  keywords     = {{Edugram, Instagram, Musiktheorie, Postdigitalität, Social Media}},
  publisher    = {{Auditive Medienkulturen}},
  title        = {{{Social Media Music Theory. Musiktheorie auf Instagram als Teil einer Musikpädagogik im Zeitalter der Postdigitalität}}},
  year         = {{2025}},
}

@article{56935,
  abstract     = {{Der Neologismus ‚MINTfluencer:in‘ beschreibt reichweitenstarke Profile in sozialen Netzwerken von Frauen in technischen und naturwissenschaftlichen Berufen. Die qualitative Inhaltsanalyse untersucht die unterrepräsentierten Gruppen ‚Scientist Mom‘ und ‚Trans* Scientist‘ auf Instagram aus gendermedialer Perspektive. Es werden Erkenntnisse über das Verhältnis von Wissenschaftskommunikation, Berufsrepräsentation sowie Geschlecht generiert und mit dekonstruktivistischen, intersektionalen Theorien und Heteronormativitätskritik verknüpft. Die Betrachtung der Selbstinszenierung berufstätiger Mütter und transsexueller Wissenschaftler:innen als MINTfluencer:innen erforscht, inwiefern ihr Auftreten als feministische Transformation im Kontext weiblicher Berufsausübung und Sichtbarkeit in männlich dominierten Berufen gesehen werden kann. }},
  author       = {{Pätz, Ricarda}},
  journal      = {{Gender(ed) thoughts}},
  keywords     = {{MINTfluencerin, Frauen in MINT, Wissenschaftskommunikation, Instagram, qualitative Inhaltsanalyse, Gender Media Studies, Gender Science Studies}},
  publisher    = {{University Goettingen}},
  title        = {{{MINTfluencerinnen auf Instagram. Sozialmediale Sichtbarkeit junger Frauen in MINT-Berufen}}},
  year         = {{2024}},
}

@article{57593,
  abstract     = {{Between Dethematizing and Demonetisation: The Holocaust in depictions of National-Socialism and World War Two on YouTube – In September 2018, an ambitious 
and highly noteworthy project for the construction and distribution of a broad-reaching portrayal of 20th-century violence in the digital age was launched: the YouTube 
channel World War Two (WW2). Their mission was to present the experiences of 
those who lived through the war in a radically objective, apolitical, and detailed 
manner. The main series, sharing the same title as the channel, focused on military 
events, while another series titled War Against Humanity (WAH) would address 
war crimes, human rights abuses, the mass murder of civilians and prisoners of 
war, Nazi euthanasia crimes, and the Holocaust. This division of the narrative into 
a military history (main series) and a separate history of war crimes and the Holocaust (side series) raises important questions about the conditions, opportunities, 
and limitations that YouTube’s media and economic structures impose on the portrayal of war, mass violence, and genocide. The paper also examines how these 
structures influence the narrative and shape the presented historical image, and 
what consequences arise for the depiction of war and history from an academic perspective. Lastly, it explores the reasons behind this narrative split: whether it was 
a deliberate decision to systematically differentiate the storytelling or a strategic 
move shaped by YouTube’s media and economic constraints. The question arises: 
to what extent can historical education on digital platforms like YouTube, driven 
by the need for content monetization, still align closely with academic standards?}},
  author       = {{Quast, Julia}},
  journal      = {{Zeitschrift für Genozidforschung}},
  keywords     = {{Zweiter Weltkrieg, Holocaust, Geschichtsbild, Public History, Social Media, YouTube, Erinnerungskultur}},
  number       = {{2}},
  pages        = {{264--291}},
  publisher    = {{Velbrück }},
  title        = {{{Zwischen Dethematisierung und Demonetarisierung  Der Holocaust in Darstellungen von NS  und Zweitem Weltkrieg auf YouTube}}},
  volume       = {{22}},
  year         = {{2024}},
}

@inproceedings{45270,
  abstract     = {{Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies.}},
  author       = {{Halimeh, Haya and Caron, Matthew and Müller, Oliver}},
  booktitle    = {{Hawaii International Conference on System Sciences}},
  keywords     = {{Social Media and Healthcare Technology, early depression detection, liwc, mental health, transfer learning, transformer architectures}},
  title        = {{{Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}}},
  year         = {{2023}},
}

@article{36877,
  abstract     = {{The study explores differences between three user types in the top tweets about the 2015 “refugee crisis” in Germany and presents the results of a quantitative content analysis. All tweets with the keyword “Flüchtlinge” posted for a monthlong period following September 13, 2015, the day Germany decided to implement border controls, were collected (N = 763,752). The top 2,495 tweets according to number of retweets were selected for analysis. Differences between news media, public and private actor tweets in topics, tweet characteristics such as tone and opinion expression, links, and specific sentiments toward refugees were analyzed. We found strong differences between the tweets. Public actor tweets were the main source of positive sentiment toward refugees and the main information source on refugee support. News media tweets mostly reflected traditional journalistic norms of impartiality and objectivity, whereas private actor tweets were more diverse in sentiments toward refugees. }},
  author       = {{Kapidzic, Sanja and Frey, Felix and Neuberger, Christoph and Stieglitz, Stefan and Mirbabaie, Milad}},
  issn         = {{1932-8036}},
  journal      = {{International Journal of Communication}},
  keywords     = {{refugee crisis 2015, Germany, social media, Twitter, user types}},
  title        = {{{Crisis Communication on Twitter: Differences Between User Types in Top Tweets About the 2015 “Refugee Crisis” in Germany}}},
  volume       = {{17}},
  year         = {{2023}},
}

@inproceedings{52865,
  abstract     = {{This paper addresses new challenges of detecting campaigns in social media, which emerged with the rise of Large Language Models (LLMs). LLMs particularly challenge algorithms focused on the temporal analysis of topical clusters. Simple similarity measures can no longer capture and map campaigns that were previously broadly similar in content. Herein, we analyze whether the classification of messages over time can be profitably used to rediscover poorly detectable campaigns at the content level. Thus, we evaluate classical classifiers and a new method based on siamese neural networks. Our results show that campaigns can be detected despite the limited reliability of the classifiers as long as they are based on a large amount of simultaneously spread artificial content.}},
  author       = {{Grimme, Britta and Pohl, Janina and Winkelmann, Hendrik and Stampe, Lucas and Grimme, Christian}},
  booktitle    = {{Disinformation in Open Online Media: 5th Multidisciplinary International Symposium, MISDOOM 2023, Amsterdam, The Netherlands, November 21–22, 2023, Proceedings}},
  isbn         = {{978-3-031-47895-6}},
  keywords     = {{Social Media, Campaign Detection, Large Language Models, Siamese Neural Networks}},
  pages        = {{72–87}},
  publisher    = {{Springer-Verlag}},
  title        = {{{Lost in Transformation: Rediscovering LLM-Generated Campaigns in Social Media}}},
  doi          = {{10.1007/978-3-031-47896-3_6}},
  year         = {{2023}},
}

@inbook{35323,
  abstract     = {{Der Begriff der „Zwangsdigitalisierung“ beschreibt, dass als eine Folge der Corona-Pandemie Präsenzformate durch digital gestützte Settings ersetzt werden sowie Alter- nativen zur Kommunikation und für das gemeinsame Arbeiten und Lernen in Präsenz gefunden werden mussten. Digital gestützte Lehr-Lernsettings scheinen seit dem ersten Lockdown sowohl an Schulen als auch an Hochschulen eine Möglichkeit dafür darzustellen, die Lern- und Entwicklungsprozesse (z. B. von Schülerinnen und Schülern, angehenden Lehrkräften) trotz physischer Distanz weiterzuführen. In diesem Beitrag werden die mit der Zwangsdigitalisierung an den Hochschulen verbundenen Chancen und Grenzen für die Entwicklung digitalisierungsbezogener Kompetenzen angehender Lehrkräfte herausgearbeitet. Dabei richtet sich der Blick auf den Wert von Erfahrungen für Lernen und Entwicklung. Zudem wird, gemäß der den Angebots-Nutzungs-Modellen inhärenten Logik einer „Wirkkette“, Bezug genommen auf Perspektiven von Studierenden, deren prospektiven Schülerinnen und Schülern sowie von Dozierenden.}},
  author       = {{Caruso, Carina and Bruns, Marike and Harteis, Christian}},
  booktitle    = {{Berufsausbildung zwischen Hygienemaßnahmen und Lockdown(s) Folgen für die schulische und außerschulische Berufsausbildung in Schule, im Betrieb und bei Bildungsträgern}},
  editor       = {{Heisler, Dietmar and Meier, Jörg}},
  isbn         = {{978-3-7639-7146-6}},
  keywords     = {{Hochschullehre, Lehrer:innenausbildung, Medienkompetenz / teacher education, teaching at university, media literacy}},
  pages        = {{137–157}},
  publisher    = {{wbv}},
  title        = {{{Von der Not zur Tugend!?}}},
  doi          = {{10.3278/9783763972579}},
  volume       = {{65}},
  year         = {{2022}},
}

@inproceedings{34317,
  author       = {{Arslan, Kader and Trier, Matthias}},
  booktitle    = {{Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022)}},
  keywords     = {{Social media, Social media marketing process, Social media strategy, Social media management, Guidelines}},
  location     = {{Melbourne, Australia}},
  title        = {{{Towards a Process Model for Social Media Marketing}}},
  year         = {{2022}},
}

@inproceedings{30192,
  author       = {{Arslan, Kader and Trier, Matthias}},
  booktitle    = {{Proceedings of the 32nd Australasian Conference on Information Systems (ACIS 2021)}},
  keywords     = {{Social media platform affordances, Use culture, Facebook, Instagram, Twitter}},
  location     = {{Sydney, Australia}},
  title        = {{{Towards a Differentiation Perspective on Social Media Platforms’ Affordances and Use Cultures – An organizing Literature Review}}},
  year         = {{2021}},
}

@inproceedings{30190,
  author       = {{Arslan, Kader}},
  booktitle    = {{Proceedings of the 29th European Conference on Information Systems (ECIS 2021)}},
  keywords     = {{Social media management, Social media, Literature review, Affordances, User behavior, Use culture}},
  location     = {{Marrakesh, Marocco}},
  title        = {{{A Review on Social Media Channel Choice Determinants in Organizations}}},
  year         = {{2021}},
}

@misc{37545,
  author       = {{Vochatzer, Stefanie and Schröder,  Sarah and Fischer, Christian}},
  keywords     = {{Lehren Digitale Medien Bildungsforschung Weiterbildung Lehrkraft Social Media Förderung}},
  title        = {{{Fortbildung to go: Twitter als Ratgeber für Lehrkräfte}}},
  year         = {{2021}},
}

@misc{36006,
  author       = {{Hartmann, Alexandra}},
  booktitle    = {{Kritikon Litterarum}},
  issn         = {{1865-7249}},
  keywords     = {{Materials Chemistry, Economics and Econometrics, Media Technology, Forestry}},
  number       = {{3-4}},
  pages        = {{404--410}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{<b>Ashe, Bertram D.; Saal, Ilka (eds.). </b>                  <i>Slavery and the Post-Black Imagination.</i> Seattle: Washington University Press, 2020. 248 pp.}}},
  doi          = {{10.1515/kl-2021-0046}},
  volume       = {{48}},
  year         = {{2021}},
}

@article{32558,
  abstract     = {{With the rapid progress of technological development, self-efficacy in reference to digital devices (i.e., information and computer technology [ICT] self-efficacy) is an important driver that helps students to deal with technological problems and support their lifelong learning processes. Schools, peers, and home learning environments are important sources for the development of positive self-efficacy. Expanding on previous research, we investigated the associations between different aspects of the digital home learning environment and students’ ICT self-efficacy. The moderation effects of gender were also tested. A total of 651 children answered a questionnaire about different digital home learning environment dimensions and estimated their ICT self-efficacy using an adapted scale—Schwarzer and Jerusalem’s (1999) general self-efficacy scale. Using the structural equation modeling technique, a digital home learning environment containing six different qualities of parental support was investigated. Families’ cultural capital, parents’ attitudes toward the Internet, and shared Internet activities at home contributed positively to ICT self-efficacy. We observed small gender differences, with the moderation effect being nonsignificant. The results help researchers and practitioners to understand how different dimensions of the digital home learning environment support ICT self-efficacy. We will discuss how parents can enhance the home learning environment and how teachers can integrate this knowledge into formal education.}},
  author       = {{Bonanati, Sabrina and Buhl, Heike M.}},
  issn         = {{1387-1579}},
  journal      = {{Learning Environments Research}},
  keywords     = {{Digital media use, Gender, Home learning environment, ICT self-efcacy, Motivation, Parental involvement}},
  number       = {{2}},
  pages        = {{485--505}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{The digital home learning environment and its relation to children’s ICT self-efficacy}}},
  doi          = {{10.1007/s10984-021-09377-8}},
  volume       = {{25}},
  year         = {{2021}},
}

@inproceedings{21524,
  abstract     = {{For the measurement of process data in bioreactors, very small wireless sensors are currently under development to replace the conventional rod probes. The so-called Sens-o-Spheres measure the temperature and in future the oxygen content and the pH of fluids. In order to evaluate the distribution of the measured values within the process, it is necessary to locate the wireless sensors. Because of the small size of the sphere (diameter 8 mm), inhomogeneous ambient media and the size of the reactor (less than 2 m), an inductive locating by magnetic fields with a frequency of f = 13.56 MHz is necessary. Since the behaviour of the magnetic field is very different from that of the electromagnetic wave, new locating methods are required, which are presented in this paper.}},
  author       = {{Lange, Sven and Schröder, Dominik and Hedayat, Christian and Otto, Thomas and Hilleringmann, Ulrich}},
  booktitle    = {{2019 17th IEEE International New Circuits and Systems Conference (NEWCAS)}},
  isbn         = {{9781728110318}},
  keywords     = {{oxygen content, inhomogeneous ambient media, magnetic field, inductive locating method, miniaturized wireless sensors, inhomogeneous dielectrics, conventional rod probes, Sens-o-Spheres measure, frequency 13.56 MHz}},
  location     = {{Munich, Germany}},
  title        = {{{Inductive Locating Method to Locate Miniaturized Wireless Sensors within Inhomogeneous Dielectrics}}},
  doi          = {{10.1109/newcas44328.2019.8961227}},
  year         = {{2019}},
}

@article{15494,
  author       = {{Hagengruber, Ruth}},
  issn         = {{09306633}},
  journal      = {{Konsens}},
  keywords     = {{Maria von Welser, Women, Media, War, Women in War, Refugees}},
  number       = {{2019}},
  pages        = {{20--22}},
  publisher    = {{Deutscher Akademikerinnen Bund}},
  title        = {{{Zur Ehrenpromotion von Maria von Welser an der Fakultät für Kulturwissenschaften der Universität Paderborn}}},
  volume       = {{2019}},
  year         = {{2019}},
}

@inbook{57891,
  abstract     = {{This article provides an insight into a qualitative research project concerning music educational practices with mobile music technologies. Based on social systems theory, this grounded-theory study observes how groups in two extracurricular music classes construct different technologies (e. g., iPads, mixers, ear phones) within the emergence of (reflexive) expectations as social structures. The results reveal five categories of technologies: technology as an instrument-toy-alternator that supports motivation, as a medium for knowledge and learning, as an adjusting device used for socio-aesthetic decision making, as a didactical tool for task-based situations, and as an isolator for inner differentiation by focusing aural perception. (DIPF/Orig.)}},
  author       = {{Godau, Marc}},
  booktitle    = {{Musikpädagogik und Kulturwissenschaft}},
  editor       = {{Cvetko, Alexander J. and Rolle, Christian}},
  keywords     = {{Musical education, Musikpädagogik, Musikunterricht, Deployment of media, Medien, Medieneinsatz, Mobile Computing, Music lessons, Qualitative Forschung, Qualitative research, Teaching of music, Use of media}},
  pages        = {{237–249}},
  publisher    = {{Waxmann}},
  title        = {{{Apps in der musikpädagogischen Praxis. Eine explorative Studie zur kommunikativen Konstruktion von mobilen Technologien im schulischen Nachmittagsbereich}}},
  volume       = {{38}},
  year         = {{2018}},
}

@article{13304,
  abstract     = {{A primary problem in multimedia content production is the plethora of formats and the resulting multiple point-to-point transformation processes in different content formatting specifications. However, these content transformation processes can be conceptually broken down into a limited set of abstract principles. This allows a unified approach that theoretically enables the transformation of any given input channel into any desired output. Based on this principle, the present article introduces the concept of Generic Content Transformation and the related project MOCCA, which develops the corresponding software implementation of generic content transformation for a variety of input and output channels. To balance technical similarities with specific properties of different media channels, we suggest a combination of an XML-based structure (MocML) and a high level authoring environment. Generic Content Transformation further allows for novel means of accessing assets via compound search algorithms. In the second part we summarize and discuss current results and experiences in three scenarios of media production, including mobile media.}},
  author       = {{Herzog, Michael and Trier, Matthias}},
  issn         = {{2312-5381}},
  journal      = {{International Journal of Computing}},
  keywords     = {{Multimedia Authoring, Mobile Content, Cross Media Production, Content Engineering, Media Retrieval}},
  number       = {{2}},
  pages        = {{108--115}},
  title        = {{{MEDIA ENGINEERING WITH A CONTENT HUB SYSTEM. GENERIC CONTENT TRANSFORMATION FOR MOBILE MEDIA}}},
  volume       = {{7}},
  year         = {{2014}},
}

@inproceedings{13317,
  abstract     = {{Along with the increasing popularity of social media and online communities in many business settings, the notion of online community health has become a common means by which community managers judge the condition or state of their communities. It has also been introduced to the literature, yet the concept remains underspecified and fragmented. In this paper, we work toward a construct conceptualization of online community health. Through a review of extant literature and dialogue with specialists in the field, we develop a multi-dimensional construct of online community health, consisting of seven elements. In writing this paper, we attempt to foster theory development around new organizational forms by advancing a new and important construct. The paper further provides guidance to the managers of social media and online communities by taking a systematic look at the well-being of their communities.}},
  author       = {{Wagner, David and Richter, Alexander and Trier, Matthias and Wagner, Heinz-Theo}},
  booktitle    = {{Proceedings of the 35th International Conference on Information Systems. ICIS 2014}},
  editor       = {{Karahanna, Elena and Srinivasan, Ananth and Tan, Bernard}},
  keywords     = {{Social media, Online communities, Online community success, Online community health, Construct conceptualization}},
  publisher    = {{Association for Information Systems. AIS Electronic Library (AISeL)}},
  title        = {{{Towards a Conceptualization of Online Community Health}}},
  year         = {{2014}},
}

@article{50438,
  author       = {{Baraté, Adriano and Haus, Goffredo and Ludovico, Luca Andrea and Mauro, Davide Andrea}},
  issn         = {{1796-2048}},
  journal      = {{Journal of Multimedia}},
  keywords     = {{Electrical and Electronic Engineering, Artificial Intelligence, Media Technology}},
  number       = {{2}},
  publisher    = {{Academy Publisher}},
  title        = {{{IEEE 1599 for Live Musical and Theatrical Performances}}},
  doi          = {{10.4304/jmm.7.2.170-178}},
  volume       = {{7}},
  year         = {{2012}},
}

@inproceedings{1120,
  abstract     = {{SCM is a simple, modular and flexible system for web monitoring and customer interaction management. In our view, its main advantages are the following: It is completely web based. It combines all technologies, data, software agents and human agents involved in the monitoring and customer interaction process. It can be used for messages written in any natural language. Although the prototype of SCM is designed for classifying and processing messages about mobile-phone related problems in social networks, SCM can easily be adapted to other text types such as discussion board posts, blogs or emails. Unlike comparable systems, SCM uses linguistic technologies to classify messages and recognize paraphrases of product names. For two reasons, product name paraphrasing plays a major role in SCM: First, product names typically have many, sometimes hundreds or thousands of intralingual paraphrases. Secondly, product names have interlingual paraphrases: The same products are often called or spelt differently in different countries and/or languages. By mapping product name variants to an international canonical form, SCM allows for answering questions like Which statements are made about this mobile phone in which languages/in which social networks/in which countries/...? The SCM product name paraphrasing engine is designed in such a way that standard variants are assigned automatically, regular variants are assigned semiautomatically and idiosyncratic variants can be added manually. With this and similar features we try to realize our philosophy of simplicity, modularity and flexibility: Whatever can be done automatically is done automatically. But manual intervention is always possible and easy and it does not conflict in any way with the automatic functions of SCM.}},
  author       = {{Schuster, Jörg and Lee, Yeong Su and Kobothanassi, Despina  and Bargel, Matthias and Geierhos, Michaela}},
  booktitle    = {{International Conference on Information Society (i-Society 2011)}},
  isbn         = {{978-1-61284-148-9}},
  keywords     = {{Social Media Business Integration, Contact Center Application Support, Monitoring Social Conversations, Social Customer Interaction Management, Monitoring, Software Agents}},
  location     = {{London, UK}},
  pages        = {{153--158}},
  publisher    = {{IEEE}},
  title        = {{{SCM - A Simple, Modular and Flexible Customer Interaction Management System}}},
  year         = {{2011}},
}