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Data Statement This repository contains the datasets used in the following papers: Gaisbauer, F., Pournaki, A., Ohme, J. (2026): Introducing a Political Cartography of News Sharing: Capturing Story, Outlet and Content Level of News Circulation on Twitter. Computational Communication Research (accepted). Gaisbauer, F., Pournaki, A., Ohme, J. (2026): Ideological Asymmetries, but no Fragmentation: Results of a Political Cartography of News Sharing (under review). The repository includes: File Description Usage followers_pseudo.csv Crosstab of pseudonymized user IDs (rows) and German MPs (columns). Entry = 1 if user follows MP, 0 otherwise. Basis for correspondence analysis. embedding_pseudo.csv Two-dimensional embeddings of users from correspondence analysis after correlating the two dimensions with CHES. User positions after rotation. embedding_pseudo_before_rotation.csv Two-dimensional embeddings of users from correspondence analysis before rotation. User positions before rotation. party_pos_FINAL.csv Two-dimensional embeddings of parties after calculating them as the averages of their MP's positions, correlating their positions along the two dimensions with CHES and rotating them accordingly. Party positions after rotation. mp_embedding_pseudo_before_rotation.csv Two-dimensional embeddings of MPs, including their party information, before rotation. MPs positions before rotation. shares_pseudo.csv All collected article shares with columns: url, outlet, user, tweet_id, type (whether the article is shared in an original tweet or a retweet). All shared news in the data set, basis for sharing plots. articles_to_id.csv Provides an assignment of article links to article IDs as the same article can be shared under different links Standardizing articles for analysis. article_topic_matrix.csv Mapping of article IDs to STM-inferred topic probabilities. Topic-level analysis. 220_topics.txt STM top words (Highest Probability, FREX, Lift, Score) for 220 topics. Topic interpretation. assigned_metatopics.csv Assigned metatopic categories for the 220 topics. Higher-level topic grouping. Notes: Original tweet contents are not shared due to X/Twitter's Terms of Service. Tweet IDs are provided for potential rehydration. Article texts cannot be shared publicly due to copyright. MP IDs are pseudonymized; original IDs can be shared with researchers upon request. The code for data collection and processing is available under https://github.com/fgais/political-sharing-cartography. Scripts assume consistent pseudonymized IDs across files.