Pushshift Reddit — 2009-01

A Reddit (Pushshift archive, 2009-01) dataset of 408,857 comments and 315,181 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 1,087 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2009-01 — full comment text, reply graph, and engagement metrics across 1,087 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 408,857 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

408.9K
Nodes
315.2K
Edges
1.89e-06
Density
93.7K
Components
0.0%
Reciprocity
315.2K
Bridges
Most central nodes
a4nm0.00013
c06wifz0.00012
c06xhrp0.0001
c073jbw9e-05
bi5v8e-05
8nn48e-05
c074nod8e-05
c078hvf7e-05
c06wox97e-05
c06x9rr7e-05
Content metrics

694,465 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.232 ± 14.99
min -154max 1.6K
controversiality0.0% true
true 0.0%false 100.0%
7.4
Flesch–Kincaid grade
US school grade level
7.9
Automated readability index
Frequent terms
likepeopledonthinkknowtimegoodisraelwayrightwantdoesnusegoingactuallythingthingsyearsgodpointworkneedworldnewredditsaidhamasdidnsurebetterisngotreadmoneylotyearbelieveyesfindlookfactmeanprettywronglifelittleprobablyproblembadlong
Topic clusters

Topic 0

israel
hamas
kill
israeli
palestinians
war
rocket
people

Topic 1

god
atheist
religion
belief
believe
religious
atheism
exist

Topic 2

reddit
link
post
site
page
comment
read
internet

Topic 3

video
movie
joke
funny
song
laugh
watch
sound

Topic 4

money
pay
dollar
bank
card
economy
price
buy

Topic 5

zune
microsoft
apple
use
run
windows
ipod
work

Topic 6

obama
bush
president
vote
court
government
judge
people

Topic 7

woman
sex
gay
like
porn
man
find
think

Topic 8

pizza
bacon
drink
eat
wine
beer
drunk
food

Topic 9

hand
look
good
awesome
cool
like
slap
nice

Topic 10

haskell
language
syntax
code
python
function
write
list

Topic 11

think
know
mean
try
idea
question
point
art
Show all 18 topics

Topic 12

police
cop
officer
drunk
arrest
law
sex
drive

Topic 13

game
play
wii
time
fallout
steam
free
buy

Topic 14

fuck
hate
fucking
suck
bitch
idiot
douchebag
stupid

Topic 15

live
rent
car
sticker
plan
like
bed
apartment

Topic 16

portal
beam
magnet
magnetic
weld
energy
aluminum
mri

Topic 17

new
year
happy
eve
years
celebrate
day
resolution
Top hashtags
#145
#t25
#215
#313
#410
#59
#1156
#1034
#1054
#1114
#1144
#514
#574
#1043
#113
#1255183603
#ff00003
#haskell3
#international_law3
#r3

Sampled: text metrics from 50K of 672.5K records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2009-01
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
694,465
Nodes
408,857
Edges
315,181
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2009-01 (2000s)
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, 86.6 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 — 2009-01 [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 — 2009-01. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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