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ZENODO
Dataset . 2025
License: CC BY NC ND
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY NC ND
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY NC ND
Data sources: Datacite
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A Complete Dataset of Tenet Media's Podcast Videos on Rumble

Authors: Kurek, Laura; Zheng, Kevin; Gilbert, Eric; Budak, Ceren;

A Complete Dataset of Tenet Media's Podcast Videos on Rumble

Abstract

Abstract Tenet Media, a U.S.-based, right-wing media company, hired six established podcasters to create content related to U.S. politics and culture during the 2024 presidential election cycle. After publishing content on YouTube and Rumble for nearly a year, Tenet Media was declared by the U.S. government to be funded by Russia--making it effectively an outsourced state-sponsored information operation (SSIO). We present a complete dataset of the 560 podcast videos published by the Tenet media channel on the video-sharing platform Rumble between November 2023 and September 2024. Our dataset includes video metadata and user comments, as well as high-quality video transcriptions. This dataset provides researchers with material to study SSIOs, and notably on Rumble, which is an understudied platform in SSIO scholarship. Link to paper: [forthcoming] License: CC BY-NC-SA 4.0 Dataset Summary: Totaling over 302 hours of video content, we present a dataset of metadata and transcripts for the 560 podcast videos published by the Tenet Media channel on Rumble. We have structured the data in machine-readable JSON format. Metadata: Video details, including title, publication date, user engagement metrics. We also have collected user comments and related comment data. Transcription: High quality transcripts, generated by a state of the art speech-to-text model and manually checked for fidelty.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average