Pushshift Reddit — 2012-04

A Reddit (Pushshift archive, 2012-04) dataset of 15,640,119 comments and 7,555,345 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 15,625 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2012-04 — full comment text, reply graph, and engagement metrics across 15,625 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Controversiality#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 15,640,119 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

15.6M
Nodes
7.6M
Edges
3.00e-08
Density
8.1M
Components
0.0139
Assortativity
0.0%
Reciprocity
7.6M
Bridges
Most central nodes
c4cx0xp4e-05
c4fp5xy3e-05
c4fcc2i2e-05
c48d2zl2e-05
c4bggai2e-05
c4gfl3y2e-05
c47zg092e-05
c4dtauk2e-05
c4e3mtu1e-05
c4d6fu61e-05
Content metrics

15,640,119 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.153 ± 32.4
min -8.9Kmax 5K
controversiality0.1% true
true 0.1%false 99.9%
gildedμ 0 ± 0.001
min 0max 2
6.4
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaygoingrightgotworkthingactuallyprettydidnsuregamesaidthingsneeduselotbetterdoesnlovelookdayfeelyearsnewgreatfindguybadlittlelifeisnshitpointbestprobablyfucktryyeahmangodthoughtthanks
Topic clusters

Topic 0

game
play
bioware
player
like
good
people
build

Topic 1

look
cat
hair
like
guy
wear
love
shirt

Topic 2

bike
car
buy
wheel
look
tire
engine
try

Topic 3

team
player
fan
win
game
play
nfl
football

Topic 4

think
question
answer
know
thing
sense
help
guess

Topic 5

woman
people
gay
feel
sex
man
like
want

Topic 6

movie
watch
video
episode
season
character
series
youtube

Topic 7

post
link
facebook
comment
sorry
delete
edit
submission

Topic 8

taste
eat
bacon
pizza
cream
sauce
cheese
recipe

Topic 9

server
update
file
run
computer
windows
key
ram

Topic 10

song
music
band
sound
album
listen
dubstep
amp

Topic 11

fuck
shit
fucking
bitch
wtf
faggot
creepy
bad
Show all 23 topics

Topic 12

upvote
downvote
karma
reddit
post
subreddit
upvoted
comment

Topic 13

god
atheist
atheism
jesus
religion
christian
religious
believe

Topic 14

state
government
paul
vote
power
property
people
liberal

Topic 15

thank
appreciate
sir
info
check
good
awesome
helpful

Topic 16

smoke
eat
food
plant
keto
weight
weed
fat

Topic 17

joke
laugh
funny
hilarious
humor
think
funniest
jim

Topic 18

cop
officer
police
gun
arrest
weapon
law
taser

Topic 19

tax
money
pay
taxis
income
rate
government
economy

Topic 20

stupid
troll
nigger
asshole
insult
fuck
comment
retard

Topic 21

good
friend
luck
nice
hello
happy
congratulation
congrat

Topic 22

yes
yeah
sure
true
straight
actually
yup
agree
Top hashtags
#3232424
#auto126
#t41
#122
#217
#48
#918
#938
#37
#06
#396
#history4
#yolo4
#123
#63
#73
#93
#asot5503
#lol3
#realtalk3
Top emoji
😁1

Sampled: text metrics from 50K of 15.1M 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-2012-04
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
15,640,119
Nodes
15,640,119
Edges
7,555,345
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-04 (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, 1.7 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 — 2012-04 [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 — 2012-04. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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