@misc{Fulst2024,
  type      = {Master Thesis},
  author    = {Fulst, Fabienne},
  title     = {Sprachideologien in den Sozialen Medien - Laienlinguistische Verbreitung und Verhandlung von sprachlichem Wissen auf Instagram},
  isbn      = {978-3-945459-48-5},
  issn      = {1864-9238},
  doi       = {10.25972/OPUS-35147},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-351476},
  school      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {68},
  year      = {2024},
  abstract  = {Sprachideologien als zugrundeliegende Annahmen {\"u}ber Sprachstrukturen und Sprachgebrauch schlagen sich h{\"a}ufig in metasprachlichen Diskursen und vor allem im laienlinguistischen Austausch {\"u}ber Sprache nieder. Die einschl{\"a}gige Forschung zu derartigen Metasprachdiskursen hat sich bislang nur vereinzelt dem laienlinguistischen Austausch in den Sozialen Medien gewidmet. Um Einblicke in laienlinguistische Metasprachdiskurse j{\"u}ngerer Generationen zu geben, untersucht die vorliegende Studie die Beitr{\"a}ge sowie die dazugeh{\"o}rigen Kommentare zweier Instagram-Profile, die regelm{\"a}ßig sprachliches Wissen vermitteln, hinsichtlich ihrer sprachideologischen Standpunkte. Hierzu wurde das stancetaking der Nutzenden untersucht, d.h. es wurde nachvollzogen, wie sich Sprachteilnehmende lexikalisch, grammatisch, aber auch im Rahmen multimodaler M{\"o}glichkeiten der Plattform (z.B. Farben, Emojis, Likes) zu Sprache und zu anderen Sprachteilnehmenden positionieren. Es zeigt sich, dass vor allem sprachrichtigkeitsideologische Einstellungen in den untersuchten Beitr{\"a}gen vorzufinden sind. Varianten werden hier explizit sprachlich als richtig oder falsch oder auch implizit mittels farblicher Markierungen gekennzeichnet. Standardideologische Annahmen kommen in den Beitr{\"a}gen h{\"a}ufig in der Orientierung an kodifizierenden Institutionen und in der Abgrenzung zu einer Umgangssprache zum Tragen, wobei die Beitr{\"a}ge von einer Thematisierung des Standardbegriffs absehen. Vereinzelt werden die Sprachrichtigkeits- und die Standardideologie in den Kommentaren durch Nutzende in Frage gestellt; insbesondere, wenn diese sich als linguistisch Sachkundige positionieren.},
  subject      = {Linguistik},
  language  = {de}
}
@masterthesis{Schmittinger2021,
  type      = {Bachelor Thesis},
  author    = {Schmittinger, Sarah},
  title     = {Observing the Digital Self},
  issn      = {2511-9486},
  doi       = {10.25972/OPUS-22505},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225058},
  school      = {Universit{\"a}t W{\"u}rzburg},
  pages     = {60},
  year      = {2021},
  abstract  = {Facebook, Instagram, Twitter \& Co. Social media have become an essential part of everyday life for many people in recent years, and as such, it is impossible to imagine a life without them. It seems self-evident to operate as an active prosumer in the net via various end devices. We create personal profiles in various social networks, exchange ideas, and connect with others. We take part in virtual events, and above all: we actively shape the web. The photo and video platform Instagram is one of the most popular social networking sites. Since 2010, the online service has offered its users the opportunity for personal development and space for creativity. Therefore, the personal profiles serve not only participatory reasons but also facilitate acts of self-representation. In addition to apparently visible aspects, questions about self-perception arise: How do users experience and evaluate their activities in virtual space? How do they perceive their actions between the offline and online world, and how intertwined are these spheres? Through an ethnographical approach, this work represents the attempt to look beyond the self-evident aspects of the digital self. For this purpose, two Instagram users were accompanied for more than a year.},
  subject      = {Kulturanthropologie},
  language  = {en}
}
@phdthesis{Marker2020,
  author    = {Marker, Caroline},
  title     = {On a meta-level: Contributions of meta-analytic summaries in media psychological research},
  doi       = {10.25972/OPUS-20917},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-209173},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {The rising use of new media has given rise to public discussions about their possible negative consequences. The social sciences have answered these concerns, providing many studies investigating different media types (e.g., social media, video games) and different related variables (e.g., psychological well-being, academic achievement). Within this big body of research, some research results have confirmed negative associations with frequent media use; other studies have found no or even positive relationships. With heterogeneous results, it is difficult to obtain a clear picture of the relationships and causalities of new media. The method of meta-analysis allows a synthesis of all existing data, providing an overall effect size as well as moderator and mediator analyses which might explain the heterogeneity. Three manuscripts present meta-analytic evidence related to a) the relationship between social media use and academic achievement, b) the relationship between video gaming and overweight, and c) the relationship between social media and psychological correlates. Manuscript \#1 found small relationships which depend on the usage pattern of social media. The relationship is positive, as long as social media use is related to school. Manuscript \#2 showed that children's and adolescents' video gaming is independent from their body mass, while adults who play more have a higher body mass. Manuscript \#3 summarized existing meta-analytic evidence that links social media with psychological wellbeing, academic achievement, and narcissism with small to moderate effect sizes. All three manuscripts underscore the potential of meta-analyses to synthesize previous research and to identify moderators. Although meta-analyses are not necessarily superior to other approaches because of their limitations (e.g. limited information or quality of primary studies) they are very promising for media psychology. Meta-analyses can reduce complexity and might be helpful for the communication of research results to the general public.},
  subject      = {Medienkonsum},
  language  = {en}
}
@phdthesis{Becker2018,
  author    = {Becker, Martin},
  title     = {Understanding Human Navigation using Bayesian Hypothesis Comparison},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-163522},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2018},
  abstract  = {Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience. In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk "short distances" before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly". For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain: i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies. In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data. Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.},
  subject      = {Bayes-Verfahren},
  language  = {en}
}