Pushshift Reddit — 2009-08

A Reddit (Pushshift archive, 2009-08) dataset of 1,226,620 comments and 566,453 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 1,521 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2009-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 1,521 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 737,273 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

737.3K
Nodes
566.5K
Edges
1.04e-06
Density
170.8K
Components
0.0%
Reciprocity
566.5K
Bridges
Most central nodes
c0bzibm0.00013
c0bz2u30.00011
c0c95xr6e-05
c0blzvw6e-05
c0bq5s46e-05
c0bziwp6e-05
c0bq38o6e-05
c0cgsea6e-05
c0bqcq46e-05
c0cgrq56e-05
Content metrics

1,226,620 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.231 ± 16.36
min -160max 2.6K
gilded0.0% true
true 0.0%false 100.0%
7.0
Flesch–Kincaid grade
US school grade level
7.5
Automated readability index
Frequent terms
likepeopledonthinktimeknowgoodwayrightwantgoingthingactuallyusethingsworkneeddoesngotyearsdidnsurebetterpointprettysaidlotfindprobablylifereadbadnewlookmoneyredditgreatlittleguylongisncarefeelyesworldmeanletdayshitman
Topic clusters

Topic 0

government
money
care
pay
health
people
insurance
system

Topic 1

thank
good
time
know
yes
awesome
try
cool

Topic 2

cop
police
officer
law
people
bad
car
good

Topic 3

tooth
dog
drink
like
beer
look
good
smell

Topic 4

god
think
religion
believe
exist
know
people
thing

Topic 5

girl
relationship
guy
feel
friend
like
know
tell

Topic 6

apple
use
xml
code
iphone
work
phone
linux

Topic 7

reddit
link
comment
upvote
downvote
google
upvoted
site

Topic 8

movie
laugh
watch
season
episode
funny
film
video

Topic 9

game
play
team
player
good
gun
enemy
win

Topic 10

song
music
album
listen
band
like
hear
sound

Topic 11

read
book
think
article
rape
land
woman
racist
Top hashtags
#140
#231
#t29
#314
#v12
#57
#97
#65
#75
#44
#include4
#0000003
#182
#application_support2
#coal2
#dealing_with_aquifers2
#define2
#development2
#f002
#history2

Sampled: text metrics from 50K of 1.2M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2009-08
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
1,226,620
Nodes
737,273
Edges
566,453
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2009-08 (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, 153.1 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 — 2009-08 [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 — 2009-08. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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