Pushshift Reddit — 2012-11

A Reddit (Pushshift archive, 2012-11) dataset of 20,534,736 comments and 10,197,262 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 20,729 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 20,729 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#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 20,534,736 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

20.5M
Nodes
10.2M
Edges
2.00e-08
Density
10.3M
Components
0.00035
Assortativity
0.0%
Reciprocity
10.2M
Bridges
Most central nodes
c6xgw225e-05
c73ny2i4e-05
c6xsr4q4e-05
c73nxsp3e-05
c73nxqg3e-05
c6ya6t63e-05
c70hpzv2e-05
c72zr8s2e-05
c6ythi02e-05
c6w7nor2e-05
Content metrics

20,534,736 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.667 ± 40.67
min -3.9Kmax 7K
controversiality0.1% true
true 0.1%false 99.9%
gildedavg 0.00 / 10
0std 0.0110
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewaywantgoingrightgotthingprettydoesnuseactuallysureworkgameneedbetterthingsdidnlotlooksaidnewloveamplittlefeelgreatprobablypostbadmandaypointguyyearsfindisntrythanksbestyesyearshityeah
Topic clusters

Topic 0

school
work
think
job
know
class
yes
interview

Topic 1

look
hair
like
wear
beard
good
face
guy

Topic 2

game
play
like
player
good
time
think
damage

Topic 3

eat
halloween
candy
drink
day
diet
food
like

Topic 4

team
game
play
player
win
fan
league
year

Topic 5

obama
romney
vote
politic
tax
government
people
money

Topic 6

save
drive
desktop
phone
use
app
memory
price

Topic 7

feel
relationship
like
want
woman
thing
know
think

Topic 8

reddit
post
upvote
downvote
comment
karma
subreddit
people

Topic 9

song
sound
album
music
band
listen
like
play

Topic 10

movie
episode
watch
video
star
disney
wars
film

Topic 11

god
people
religion
belief
believe
think
christian
exist
Show all 16 topics

Topic 12

car
bike
drive
road
vehicle
need
wheel
ride

Topic 13

thank
info
advice
credit
appreciate
help
tip
cool

Topic 14

fuck
stupid
idiot
fucking
asshole
wrong
bitch
faggot

Topic 15

awesome
nice
amazing
sir
good
wow
pretty
job
Top hashtags
#91157
#93157
#186
#253
#323252
#3932
#auto30
#t30
#imgur27
#res27
#s14
#39
#339
#05
#355
#405
#carlton5
#414
#yolo4
#83

Sampled: text metrics from 50K of 19.8M 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-2012-11
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
20,534,736
Nodes
20,534,736
Edges
10,197,262
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-11 (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, 2.1 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 — 2012-11 [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 — 2012-11. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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