Pushshift Reddit — 2012-12

A Reddit (Pushshift archive, 2012-12) dataset of 21,681,372 comments and 10,750,123 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 21,480 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-12 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 21,480 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Monthly snapshot#Pushshift#Subreddit

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Analytics

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· graph.json

The full graph has 21,681,372 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

21.7M
Nodes
10.8M
Edges
2.00e-08
Density
10.9M
Components
0.01138
Assortativity
0.0%
Reciprocity
10.8M
Bridges
Most central nodes
c7aurwm3e-05
c7c7a2s2e-05
c7f1p042e-05
c7ot65m2e-05
c7g455p2e-05
c7dvhtn2e-05
c79tv4a2e-05
c7dpcwa2e-05
c7il47v2e-05
c7e2r562e-05
Content metrics

21,681,372 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.71 ± 42.15
min -1.9Kmax 11.7K
controversiality0.1% true
true 0.1%false 99.9%
gildedavg 0.00 / 9
0std 0.019
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkgoodtimeknowwantwaygamegoingrightgotprettybetterworkthingactuallysurelotneeddidnusedoesnlovethingslooksaidgreatnewfeelprobablybadbestpointdayfindtryplayguylittleyearsisnpostthankslongthoughtshitmanyeah
Topic clusters

Topic 0

people
israel
like
think
pay
money
thing
government

Topic 1

look
like
cat
picture
good
dog
wear
pretty

Topic 2

game
play
like
good
player
think
fnatic
time

Topic 3

feel
woman
like
relationship
people
think
man
thing

Topic 4

post
reddit
upvote
comment
subreddit
downvote
joke
funny

Topic 5

time
work
try
itunes
use
computer
idea
apple

Topic 6

team
player
game
play
win
year
league
season

Topic 7

drink
eat
smoke
beer
food
good
like
taste

Topic 8

song
music
play
album
band
listen
like
love

Topic 9

movie
video
watch
episode
film
like
think
scene
Top hashtags
#151
#t44
#323240
#232
#315
#auto12
#411
#398
#igp7
#05
#93
#by_years_experience3
#days3
#hl3
#savebattlefront33
#52
#72
#comments2
#fcee122
#race2
Top emoji
😏1

Sampled: text metrics from 50K of 20.8M records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)

Record

Catalog key
pushshift-reddit-2012-12
Authors
Baumgartner, Jason; Zannettou, Savvas; Keegan, Brian; Squire, Megan; Blackburn, Jeremy
Year
2020
Source paper
The Pushshift Reddit Dataset
DOI / arXiv
10.1609/icwsm.v14i1.7347
License
Unknown
Records
21,681,372
Nodes
21,681,372
Edges
10,750,123
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-12 (2010s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://files.pushshift.io/reddit/comments/ unverified
Hosted copy
Mirrored on echo.directory on 2026-10-02, 2.3 GB across 1 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{baumgartner2020pushshift,
  title         = {The Pushshift Reddit Dataset},
  author        = {Baumgartner, Jason and Zannettou, Savvas and Keegan, Brian and Squire, Megan and Blackburn, Jeremy},
  year          = {2020},
  eprint        = {2001.08435},
  archiveprefix = {arXiv}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Baumgartner, J., Zannettou, S., Keegan, B., Squire, M., & Blackburn, J. (2020). Pushshift Reddit — 2012-12 [Data set]. https://doi.org/10.1609/icwsm.v14i1.7347

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Baumgartner, Jason, et al. Pushshift Reddit — 2012-12. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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