Pushshift Reddit — 2012-02

A Reddit (Pushshift archive, 2012-02) dataset of 13,041,429 comments and 6,164,917 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 14,220 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 14,220 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 13,041,429 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

13M
Nodes
6.2M
Edges
4.00e-08
Density
6.9M
Components
0.0156
Assortativity
0.0%
Reciprocity
6.2M
Bridges
Most central nodes
c3nijr73e-05
c3tb9c43e-05
c3uynfu3e-05
c3msol52e-05
c3veev72e-05
c3r7nto2e-05
c3su56d2e-05
c3q6lye2e-05
c3uixi02e-05
c3nb84n2e-05
Content metrics

13,041,429 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.972 ± 30.85
min -2.1Kmax 4K
controversiality0.1% true
true 0.1%false 99.9%
gildedμ 0 ± 0.001
min 0max 2
6.5
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaygoingrightgotactuallythingsureprettythingsneedworkdoesnusebettergamedidnlooklovelotsaidfindexcitebikegreatfeeldayprobablypointnewyearslittlegodtrybestisnshitthanksmanthoughtguybadyeahlong
Topic clusters

Topic 0

game
play
team
like
player
good
think
time

Topic 1

thank
look
wear
like
hair
love
girl
good

Topic 2

god
atheist
religion
believe
people
belief
thing
think

Topic 3

eat
beer
meat
food
drink
like
smoke
day

Topic 4

live
city
time
day
place
good
winter
night

Topic 5

government
vote
paul
people
bill
obama
state
law

Topic 6

song
music
sound
listen
album
band
guitar
play

Topic 7

reddit
upvote
post
downvote
subreddit
karma
sub
meme

Topic 8

fuck
nigger
die
hate
fucking
angry
bitch
stupid

Topic 9

video
watch
episode
youtube
series
movie
like
character

Topic 10

fap
sex
relationship
penis
woman
boyfriend
man
want

Topic 11

think
know
question
ama
french
language
ask
answer
Show all 13 topics

Topic 12

cat
dog
collar
neighbor
house
owner
pet
feed
Top hashtags
#excitebike1.4K
#3232313
#epic279
#quagmire240
#boredonamonday197
#homer63
#t55
#request49
#147
#mccain42
#9338
#9137
#pedobear30
#foxnews28
#225
#chubbles21
#318
#auto12
#08
#47

Sampled: text metrics from 50K of 12.6M 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-2012-02
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
13,041,429
Nodes
13,041,429
Edges
6,164,917
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-02 (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, 1.4 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 — 2012-02 [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 — 2012-02. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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