2024 Presidential Debate — Mastodon Posts
A Mastodon (2024 presidential debate coverage) dataset of 73,789 mastodon posts from June 25 - July 2, 2024, collected by Zenodo contributors via public API. Each record contains post text, user ID, post ID, creation date, hashtags, mentioned users, URLs, post type (post/reply/repost), linked post, root post, language. 73,789 mastodon posts covering the 2024 Biden-Trump presidential debate with pre-computed sentence embeddings. Suitable for political communication, debate analysis, cross-platform comparison, decentralized social media research, NLP with embeddings.
Cite this dataset at
debate-2024-mastodon.echo.directory
Analytics
The full graph has 3,718 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
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Topic 11
Show all 20 topics
Topic 12
Topic 13
Topic 14
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Topic 16
Topic 17
Topic 18
Topic 19
Computed over the full corpus.
Record
- Catalog key
debate-2024-mastodon- Authors
- Silva, Filipi N.; Yang, Kai-Cheng; Zhao, Wanying; Tran Truong, Bao
- Year
- 2024
- Source paper
- Data for: Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools
- DOI / arXiv
- 10.5281/zenodo.12748042
- License
- CC BY-NC 4.0 (CC-BY-NC-4.0)
- Records
- 73,789
- Nodes
- 3,718
- Edges
- 2,145 (directed)
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- de, en, es
- Collected
- 2024-06-25 to 2024-07-02 (2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/12748042 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 151.0 MB across 2 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{https://doi.org/10.5281/zenodo.12748042,
doi = {10.5281/ZENODO.12748042},
url = {https://zenodo.org/doi/10.5281/zenodo.12748042},
author = {Silva, Filipi N. and Yang, Kai-Cheng and Zhao, Wanying and Tran Truong, Bao},
title = {Data for: Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools},
publisher = {Zenodo},
year = {2024},
copyright = {Creative Commons Attribution Non Commercial 4.0 International}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Silva, F. N., Yang, K.-C., Zhao, W., & Tran Truong, B. (2024). 2024 Presidential Debate — Mastodon Posts [Data set]. https://doi.org/10.5281/zenodo.12748042
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Silva, Filipi N., et al. 2024 Presidential Debate — Mastodon Posts. 2024, doi.org/10.5281/zenodo.12748042.