2024 Presidential Debate — Bluesky Posts

A Bluesky (2024 presidential debate coverage) dataset of 279,249 bluesky 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. 279,249 bluesky 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.

#Biden#Hashtag#Presidential debate#Sentence embedding#Trump#Us election 2024

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 18,223 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

18.2K
Nodes
44.5K
Edges
1.34e-04
Density
832
Components
-0.06157
Assortativity
0.8%
Reciprocity
9.5K
Bridges
Most central nodes
did:plc:nvfposmpmhegtyvhbs75s3pw0.09741
did:plc:s6j27rxb3ic2rxw73ixgqv2p0.05257
did:plc:jb2q4yqmgpmefxd4xx66gepm0.04259
did:plc:swgxwbir4rrimj57pf75jckf0.03798
did:plc:on5oeywiqx32fh2zau473wz60.03518
did:plc:ovyajbnegrir2ddtwfhijiob0.02678
did:plc:eclio37ymobqex2ncko63h4r0.02502
did:plc:maiw2rfujepnphhrejytvuu50.02486
did:plc:6hit5rjdbmlnscmuk4bbtmuc0.02376
did:plc:qrllvid7s54k4hnwtqxwetrf0.02168
Content metrics

279,249 records scored

has link1.6% true
true 1.6%false 98.4%
has hashtag5.1% true
true 5.1%false 94.9%
is reply20.2% true
true 20.2%false 79.8%
9.9
Flesch–Kincaid grade
US school grade level
11.8
Automated readability index
Frequent terms
trumpbidendebatelikepeoplepresidentthinkdondonald2024joegoingelectionpresidentialnewswatchtimeknowtonightvoterightnewgoodsocialwantcourtwayvotersdebatessaidmediacnnpoliticsthingbskycaseyearswinwondaydoesnlivebetterpastwatchingcampaigngopadministrationbadsays
Topic clusters

Topic 0

debate
watch
tonight
presidential
like
people
think
know

Topic 1

trump
like
think
vote
people
biden
thing
voter

Topic 2

debate
biden
presidential
trump
cnn
president
thursday
donald

Topic 3

trump
donald
win
think
like
vote
time
thing

Topic 4

past
word
usage
tap
weight
trend
click
minute

Topic 5

trump
biden
usa
donald
débat
trumps
joe
wahl

Topic 6

biden
joe
vote
age
old
good
win
president

Topic 7

court
supreme
immunity
scotus
social
medium
decision
case

Topic 8

israel
gaza
biden
netanyahu
genocide
war
israeli
palestinians

Topic 9

judge
cannon
case
trump
document
order
gag
lago

Topic 10

drug
biden
test
debate
trump
enhance
performance
adderall
Top hashtags
#trump172
#biden106
#politics102
#bbcdebate73
#donaldtrump70
#debate68
#freepalestine56
#listentoblackvoices46
#fascism44
#voteblue44
#usa42
#йобанарусня42
#election37
#cl6749007035
#ukraine34
#bidenharris202433
#news33
#presidentialdebate33
#creepydonald31
#maga30
Top emoji
💨513
🇺198
🇸172
👇117
😂100
🤣95
🇵61
💙60
🔥58
🤷52
🇦51
🚨42
🏾39
👏39
🔴37

Computed over the full corpus.

Record

Catalog key
debate-2024-bluesky
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
279,249
Nodes
18,223
Edges
44,540 (directed)
Attributes
nodes have no attributes; edges have no attributes
Languages
de, en, pt
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, 220.3 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 — Bluesky 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 — Bluesky Posts. 2024, doi.org/10.5281/zenodo.12748042.

BibTeX · RIS · CSL-JSON

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