Linked Multi-Model Data on Russian Domestic and Foreign Policy Speechesdoi:10.7910/DVN/SGI0VKHarvard Dataverse2026-01-271Blinova, Daria; Gayathri Emuru; Rakesh Emuru; Kushagradheer Shridheer Srivastava; Rulis, Mina; Sunita Chandrasekaran; Bagozzi, Benjamin, 2026, "Linked Multi-Model Data on Russian Domestic and Foreign Policy Speeches", https://doi.org/10.7910/DVN/SGI0VK, Harvard Dataverse, V1Linked Multi-Model Data on Russian Domestic and Foreign Policy Speechesdoi:10.7910/DVN/SGI0VKBlinova, DariaGayathri EmuruRakesh EmuruKushagradheer Shridheer SrivastavaRulis, MinaSunita ChandrasekaranBagozzi, BenjaminHarvard DataverseBagozzi, BenjaminBagozzi, Benjamin2026-01-13Computer and Information ScienceSocial SciencesThis Dataverse entry incldues a dataset of interlinked multimodal political communications from the Russian government, addressing persistent deficiencies in the availability of social text- and image-based data for authoritarian politics contexts. The dataset comprises two large corpora of official speeches delivered by senior actors within the Kremlin and the Russian Ministry of Foreign Affairs over multiple decades. For each speech, we provide Russian- and English-language texts, associated images and captions where available, and harmonized metadata including (e.g.) dates, speakers, (geo)locations, and official government content tags. Unique identifiers link images to speeches and align Russian and English versions of the same communication texts. We further augment these linked datasets with validated topical annotations for both speech texts and speech images, which are generated via transformer-based multimodal topic modeling and refined by a Russian politics expert. The resulting data resources support multimodal, multilingual, temporal, and/or spatial analyses of (authoritarian) political communication and offer a valuable testbed for social science research and large language model (LLM) applications in political domains.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>kremlin_english_images.zipapplication/zipkremlin_mid_en_ru_auxiliary_files.zipAuxiliary outputs from BERTopic topic modeling for Kremlin & MID corpora (EN/RU): interactive HTML topic explorers and long-format topic-probability files for text and imagesapplication/zipkremlin_mid_en_ru_final_csvs.zipFinal curated CSVs for all four corpora (Kremlin EN/RU, MID EN/RU), including metadata + curated text/image topic IDs, labels, groups, and topic probabilities.application/zipkremlin_russian_images.zipapplication/zipmid_english_images.zipapplication/zipmid_russian_images.zipapplication/zipREADME.txttext/plain