Digitale Märkte und Öffentlichkeiten auf Plattformen

Dauerhafte URI für die Sammlung

https://www.weizenbaum-library.de/handle/id/309

Listen

Auflistung Digitale Märkte und Öffentlichkeiten auf Plattformen nach Forschungsgruppen "Digitalisierung und transnationale Öffentlichkeit"

Gerade angezeigt 1 - 4 von 4
  • Vorschaubild
    Item
    Attributing Coordinated Social Media Manipulation: A Theoretical Model and Typology.
    (2025) Thiele, Daniel; Milzner, Miriam; Gong, Baoning; Pfetsch, Barbara; Heft, Annett
    Social media are key arenas for public opinion formation, but are susceptible to coordinated social media manipulation (CSMM), that is, the orchestrated activity of multiple accounts to increase content visibility and deceive audiences. Despite advances in detecting and characterizing CSMM, the attribution problem—identifying the principals behind CSMM campaigns—has received little scholarly attention. In this article, we address this gap by synthesizing existing research and developing a theoretical model for understanding CSMM. We propose a consolidated definition of CSMM, identify its key observable and hidden characteristics, and present a rational choice model for inferring principals’ strategic decisions from campaign features. In addition, we present a typology of CSMM campaigns, linking variations in scale, elaborateness, and disguise to principals’ resources, stakes, and influence strategies. Our contribution provides researchers with conceptual and heuristic tools for attribution and invites interdisciplinary and comparative research on CSMM campaigns.
  • Vorschaubild
    Item
    Chat groups as local civic infrastructure: A case study of “Solidary neighborhood help” Telegram groups during the COVID-19 pandemic in Germany
    (2025) Pasitselska, Olga; Buehling, Kilian; Gagrčin, Emilija
    Messaging groups are emerging as “meso-spaces”—digital environments that enable sustained dialogue and collective action through their distinct affordances. We examine how such spaces facilitate civic self-organization through their hybrid online/offline, public/private, and local/global dynamics and how they function as local civic infrastructure during times of crisis. Using a mixed-methods analytical approach, we examined 47 public Telegram groups from Germany during the COVID-19 pandemic. We identified a fundamental tension between political discussion and practical help in these spaces, resolvable through active horizontal participation (including norm negotiation and self-moderation), or strict vertical moderation. Additional challenges included a lack of access to vulnerable groups and limited outreach to local civil society actors, both of which hindered group activity and structural connections within local civic infrastructure. Despite these challenges, our study highlights the potential of local chat groups for self-organization, albeit primarily among privileged urban individuals. We discuss the implications for democratic theory and practice.
  • Vorschaubild
    Item
    Decoding revision mechanisms in Wikipedia: Collaboration, moderation, and collectivities
    (Sage, 2025) Zhang, Xixuan
    Research on knowledge collaboration in Wikipedia has predominately focused on metadata at the article level or editor-centric analyses, often overlooking the complexities of knowledge collaboration and its contextual dependencies. This study takes a novel, fine-grained approach to investigating revision mechanisms in Wikipedia’s knowledge collaboration. By considering modified sentences as carriers of collective knowledge and spaces in which epistemic power is negotiated, it reconstructs their revision sequences and examines how editorial, contextual, content, and temporal factors shape Wikipedia’s revision dynamics. A total of 140,593 revisions (by 48,643 editors) of 76,525 sentences in 537 Wikipedia articles related to climate change were analyzed using text mining, natural language processing, survival analysis, and meta-analysis. The findings expand our understanding of how epistemic power is negotiated through collective endeavors underlying bureaucratic rules and community moderation in Wikipedia.
  • Vorschaubild
    Item
    LGDE: Local Graph-based Dictionary Expansion
    (2025) Schindler, Juni; Jha, Sneha; Zhang, Xixuan; Buehling, Kilian; Heft, Annett; Barahona, Mauricio
    We present Local Graph-based Dictionary Expansion (LGDE), a method for data-driven discovery of the semantic neighbourhood of words using tools from manifold learning and network science. At the heart of LGDE lies the creation of a word similarity graph from the geometry of word embeddings followed by local community detection based on graph diffusion. The diffusion in the local graph manifold allows the exploration of the complex nonlinear geometry of word embeddings to capture word similarities based on paths of semantic association, over and above direct pairwise similarities. Exploiting such semantic neighbourhoods enables the expansion of dictionaries of pre-selected keywords, an important step for tasks in information retrieval, such as database queries and online data collection. We validate LGDE on two user-generated English-language corpora and show that LGDE enriches the list of keywords with improved performance relative to methods based on direct word similarities or co-occurrences. We further demonstrate our method through a real-world use case from communication science, where LGDE is evaluated quantitatively on the expansion of a conspiracy-related dictionary from online data collected and analysed by domain experts. Our empirical results and expert user assessment indicate that LGDE expands the seed dictionary with more useful keywords due to the manifold-learning-based similarity network.