Research Data
Permanent URI for this collectionhttps://www.weizenbaum-library.de/handle/id/977
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Item Multi-Platform Social Media Data Donation Behavior Dataset(2025) Wedel, Lion; Mayer, Anna-Theresa; Fan, Yangliu; Gaisbauer, Felix; Ohme, JakobThis repository contains the dataset used for all analyses presented in the papers: - \ [Study 1] Wedel, L., Ohme, J., Mayer, A. T., Gaisbauer, F., & Fan, Y. (2025). The platform matters: cross-platform differences in data donation willingness, behavior, and bias. Communication Methods and Measures, 1–25. https://doi.org/10.1080/19312458.2025.2605946 - \ [Study 2] Wedel, L., Ohme, J. (2026). Longitudinal Data Donation Behavior and Data Omission across Four Social Media Platforms. Computational Communications Research [accepted for publication] The repository is structured into two directories, one for the data and code for each study. The directory “Study 1” contains the study data as a .csv file and a PDF with a variable overview. The directory “Study 2” contains four .csv files, the Jupyter notebook code for the analysis in the paper, and a PDF file giving a quick overview of each file. Here, the Jupyter notebook also serves also as an explanation file.Item Digital Turn Without Digital Methods? Mapping the Journey of Journalism Studies [Dataset](2025) Fan, Yangliu; Ohme, Jakob; Neuberger, ChristophRecent years have seen a growing diversity in journalism studies, primarily ascribed to digital transformation in the contemporary context. Analyzing 6,770 publications from the five major journalism journals—Journalism, Journalism & Mass Communication Quarterly, Journalism Practice, Journalism Studies, and Digital Journalism—between 1995 and 2022, we find new evidence that the digital turn is highly visible in journalism studies. Using document co-citation analysis, we first have identified distinct and coherent, yet loosely integrated, research clusters that focus on different journalistic topics, i.e., specialties. Second, we find that digital journalism has not only been integrated into the research agendas within the field but has also formed stand-alone and distinct research clusters. We further show that field structure has developed over the years in response to digital transformation. Yet, digital and computational methods remain in the stark minority compared with the more traditional methods. Our results suggest that journalism studies could benefit from novel inter-cluster communications and methodological innovations.Item Supplementary Information for “Understanding scholar-trajectories across scientific periodicals”(2024) Fan, Yangliu; Lehmann, Sune; Blok, Anders1. Gender Assignment 2. Tables and Figures 3. The embedding model with five dimensions ReferencesItem Supplementary data for “New methodologies for the digital age? How methods (re-)organize research using social media data”(2023) Fan, Yangliu; Lehmann, Sune; Blok, AndersData collection Data annotation and Word2Vec model training Table S1. Method list Table S2. Network topological quantities for the journal citation networkItem Supplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”(2022) Fan, Yangliu; Lehmann, Sune; Blok, AndersIn this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, 𝜔) with a weight 𝜔 assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations. S1 Author-level analysis S2 Comparison of the two network filtering techniques S3 Network statistics S4 The disciplinary composition of clusters in the networks