Pushshift Reddit — 2012-08

A Reddit (Pushshift archive, 2012-08) dataset of 21,322,432 comments and 10,537,801 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 19,653 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 19,653 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

The interactive network needs JavaScript.

· graph.json

The full graph has 21,322,432 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

21.3M
Nodes
10.5M
Edges
2.00e-08
Density
10.8M
Components
0.00757
Assortativity
0.0%
Reciprocity
10.5M
Bridges
Most central nodes
c5zdtxm2e-05
c5pq8bd2e-05
c5zuhok2e-05
c5o66p22e-05
c5vlou62e-05
c5n50bo2e-05
c5wjqeh2e-05
c5wj4uw2e-05
c5tme132e-05
c5pp2nc2e-05
Content metrics

21,322,432 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.383 ± 37.47
min -1.8Kmax 6.8K
controversiality0.1% true
true 0.1%false 99.9%
gildedμ 0 ± 0.002
min 0max 4
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgotneedsureworkprettyactuallyuselotthingsthinggamelovedoesnbetterdidnlookgreatnewsaidfeelfinddaythanksbestprobablyyearstrypointlittlebadguyisnmanpostlifelongshityearlet
Topic clusters

Topic 0

look
like
beautiful
wear
face
hair
shoe
picture

Topic 1

game
play
damage
enemy
player
good
lane
time

Topic 2

eat
drink
food
beer
weight
diet
fat
good

Topic 3

cat
dog
guy
like
kill
penis
tooth
dick

Topic 4

post
reddit
subreddit
downvote
upvote
karma
sorry
comment

Topic 5

music
song
band
album
sound
listen
artist
like

Topic 6

movie
watch
episode
batman
video
season
good
think

Topic 7

god
religion
believe
christian
atheism
atheist
people
belief

Topic 8

fuck
hate
shit
stupid
bitch
fucking
bad
suck

Topic 9

team
year
game
season
play
good
win
fan

Topic 10

woman
sex
relationship
gender
man
think
know
thing

Topic 11

pay
loan
day
year
credit
sell
trade
money
Show all 18 topics

Topic 12

thank
appreciate
awesome
helpful
great
post
help
look

Topic 13

job
work
school
class
student
college
year
degree

Topic 14

think
ask
thought
agree
model
suppose
question
interesting

Topic 15

romney
libertarian
government
people
obama
right
moral
state

Topic 16

joke
laugh
funny
hilarious
sarcasm
think
lol
hear

Topic 17

power
drive
psu
ram
run
card
computer
monitor
Top hashtags
#auto101
#323270
#9167
#9367
#t44
#134
#3919
#218
#109
#39
#338
#56
#s6
#354
#44
#64
#73
#93
#donkey3
#hl3

Sampled: text metrics from 50K of 20.5M 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-2012-08
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
21,322,432
Nodes
21,322,432
Edges
10,537,801
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-08 (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, 2.2 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 — 2012-08 [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 — 2012-08. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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