@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{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}}, } @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}}, } @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}}, } @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}}, } @inproceedings{1122, abstract = {{Within this paper, we will describe a new approach to customer interaction management by integrating social networking channels into existing business processes. Until now, contact center agents still read these messages and forward them to the persons in charge of customer’s in the company. But with the introduction of Web 2.0 and social networking clients are more likely to communicate with the companies via Facebook and Twitter instead of filling data in contact forms or sending e-mail requests. In order to maintain an active communication with international clients via social media, the multilingual consumer contacts have to be categorized and then automatically assigned to the corresponding business processes (e.g. technicalservice, shipping, marketing, and accounting). This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer relationship management.}}, author = {{Geierhos, Michaela and Lee, Yeong Su and Bargel, Matthias}}, booktitle = {{Multilingual Resources, Multilingual Applications: Proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011}}, editor = {{Hedeland, Hanna and Schmidt, Thomas and Wörner, Kai}}, issn = {{0176-599X}}, keywords = {{Classification of Multilingual Customer Contacts, Contact Center Application Support, Social Media Business Integration}}, location = {{Hamburg, Germany}}, pages = {{219--222}}, publisher = {{University of Hamburg}}, title = {{{Processing Multilingual Customer Contacts via Social Media}}}, volume = {{96}}, year = {{2011}}, } @article{1125, abstract = {{Since customers first share their problems with a social networking community before directly addressing a company, social networking sites such as Facebook, Twitter, MySpace or Foursquare will be the interface between customer and company. For this reason, it is assumed that social networks will evolve into a common communication channel – not only between individuals but also between customers and companies. However, social networking has not yet been integrated into customer interaction management (CIM) tools. In general, a CIM application is used by the agents in a contact centre while communicating with the customers. Such systems handle communication across multiple different channels, such as e-mail, telephone, Instant Messaging, letter etc. What we do now is to integrate social networking into CIM applications by adding another communication channel. This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer service management and the company’s response will be delivered through the customer’s preferred social networking site.}}, author = {{Geierhos, Michaela}}, issn = {{17982340}}, journal = {{Journal of Advances in Information Technology}}, keywords = {{Social Media Business Integration, Multichannel Customer Interaction Management, Contact Centre Application Support}}, number = {{4}}, pages = {{222--233}}, publisher = {{Engineering and Technology Publishing (ETPub)}}, title = {{{Customer Interaction 2.0: Adopting Social Media as Customer Service Channel}}}, doi = {{10.4304/jait.2.4.222-233}}, volume = {{2}}, year = {{2011}}, }