Pushshift Reddit — 2010-09

A Reddit (Pushshift archive, 2010-09) dataset of 3,688,035 comments and 1,702,986 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,789 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,789 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

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,205,784 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2.2M
Nodes
1.7M
Edges
3.50e-07
Density
502.8K
Components
0.0%
Reciprocity
1.7M
Bridges
Most central nodes
c0zmc426e-05
c10idk15e-05
c0zcv3d5e-05
c0yo37f4e-05
c0ztgsh4e-05
c0zvlzu3e-05
c0zmfdz3e-05
c0yf2l33e-05
c0zj39t3e-05
c0yz7fi3e-05
Content metrics

3,688,035 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.184 ± 20.91
min -2.1Kmax 2.8K
controversiality0.0% true
true 0.0%false 100.0%
gilded0.0% true
true 0.0%false 100.0%
6.6
Flesch–Kincaid grade
US school grade level
7.1
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwaywantrightgoingthingthingsgotneedworkbetteruselotactuallydoesnsureprettyyearslifedidnfindnewprobablybestlovedaysaidfeelpointlooktryreadgreatredditlittlemoneyshitlongmanisnbadyearmaybeyeah
Topic clusters

Topic 0

cheese
eat
water
steak
food
like
good
drink

Topic 1

woman
feel
like
know
think
girl
life
man

Topic 2

dog
fuck
cat
spanish
sorry
que
like
accent

Topic 3

car
parking
pay
money
bank
bike
tax
park

Topic 4

game
play
fun
gun
like
team
player
time

Topic 5

song
album
music
sound
band
metal
listen
like

Topic 6

smoke
prison
drug
weed
inmate
people
convict
officer

Topic 7

reddit
digg
post
downvote
user
comment
site
spam

Topic 8

party
obama
vote
beck
liberal
conservative
tea
people

Topic 9

movie
watch
season
video
episode
clap
end
good

Topic 10

school
college
student
teacher
class
program
high
football

Topic 11

look
picture
pic
hand
like
finger
eye
head
Show all 19 topics

Topic 12

thank
try
guess
sir
idea
second
appreciate
awesome

Topic 13

awesome
good
yes
right
pretty
wow
lucky
yeah

Topic 14

god
religion
church
atheist
believe
jesus
belief
people

Topic 15

book
read
write
series
novel
ebook
author
enjoy

Topic 16

windows
laptop
cpu
card
build
run
computer
printer

Topic 17

think
mean
know
sense
thing
tell
right
idea

Topic 18

chrome
browser
link
firefox
opera
google
work
tab
Top hashtags
#160113
#137
#t36
#225
#38
#45
#hl5
#v5
#94
#p4
#153
#193
#82263
#s3
#1234562
#132
#382
#52
#62
#6932

Sampled: text metrics from 50K of 3.6M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-09
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
3,688,035
Nodes
2,205,784
Edges
1,702,986
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-09 (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, 408.7 MB 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 — 2010-09 [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 — 2010-09. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →