Pushshift Reddit — 2009-09

A Reddit (Pushshift archive, 2009-09) dataset of 1,432,706 comments and 662,387 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 1,625 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2009-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 1,625 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 863,614 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

863.6K
Nodes
662.4K
Edges
8.88e-07
Density
201.2K
Components
0.0%
Reciprocity
662.4K
Bridges
Most central nodes
c0dsjws7e-05
c0cp1296e-05
c0cnhqy6e-05
c0d59gi5e-05
c0d6cct5e-05
c0dleq15e-05
c0cvpxf5e-05
c0cpirg4e-05
c0cykzg4e-05
c0cztsm4e-05
Content metrics

1,432,706 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.073 ± 15.94
min -498max 2.3K
6.9
Flesch–Kincaid grade
US school grade level
7.4
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantrightgoinguseworkactuallythingsneedthinggotdoesnsaidprettyprobablydidnbetteryearssurepointlotfindmoneynewlookisnlifedayreadlittlegreatbadyesguygodgovernmentlongmaybeyearthoughtmeanmanworld
Topic clusters

Topic 0

smoke
eat
bacon
like
good
drink
weight
food

Topic 1

context
think
light
time
mean
know
point
datum

Topic 2

game
play
car
like
player
good
time
drive

Topic 3

linux
use
windows
update
work
computer
laptop
opera

Topic 4

government
war
health
people
iraq
care
insurance
israel

Topic 5

reddit
downvote
link
post
comment
upvote
upvoted
page

Topic 6

god
religion
atheist
believe
belief
atheism
religious
exist

Topic 7

movie
marvel
watch
disney
alien
video
film
book

Topic 8

pay
money
tax
price
rate
bank
house
income

Topic 9

sound
awesome
song
album
band
like
guitar
wow

Topic 10

cop
rape
police
law
crime
officer
kill
sex

Topic 11

friend
girl
child
dad
mom
parent
know
kid
Show all 19 topics

Topic 12

fuck
fucking
idiot
bad
shut
suck
shit
wtf

Topic 13

boob
girl
fap
penis
nsfw
hot
woman
pant

Topic 14

school
class
teacher
know
college
instrument
student
high

Topic 15

thank
read
disciple
post
loaf
break
fish
bread

Topic 16

funny
joke
laugh
pun
hilarious
thread
novelty
humor

Topic 17

black
woman
man
racist
attract
race
people
male

Topic 18

sorry
spell
language
pronounce
grammar
word
learn
english
Top hashtags
#130
#225
#t21
#410
#hl9
#v9
#36
#56
#76
#rm5
#84
#play4
#search4
#userprefs4
#63
#history3
#102
#122
#132
#152

Sampled: text metrics from 50K of 1.4M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2009-09
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
1,432,706
Nodes
863,614
Edges
662,387
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2009-09 (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, 174.0 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 — 2009-09 [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 — 2009-09. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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