Pushshift Reddit — 2010-03

A Reddit (Pushshift archive, 2010-03) dataset of 2,488,336 comments and 1,155,646 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,615 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,615 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 1,495,295 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.5M
Nodes
1.2M
Edges
5.17e-07
Density
339.6K
Components
0.0%
Reciprocity
1.2M
Bridges
Most central nodes
c0lukja7e-05
c0myqqh7e-05
c0mngn36e-05
c0n0zv36e-05
c0mn9n45e-05
c0mfpbk5e-05
c0mrvsp5e-05
c0lrd0s4e-05
c0lny9n4e-05
c0mamnz4e-05
Content metrics

2,488,336 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.074 ± 18.11
min -1.1Kmax 3K
gilded0.0% true
true 0.0%false 100.0%
7.0
Flesch–Kincaid grade
US school grade level
7.4
Automated readability index
Frequent terms
likepeopledonthinktimeknowgoodwaywantredditrightgoingthinguseworkdoesnactuallythingsneedgotbetterprettypointlotdidnsurefindsaidgameyearsisngreatprobablynewlooklifelittlelovedaybestfeelbadlongreadmoneytrypostworldletmean
Topic clusters

Topic 0

thank
look
yes
picture
like
hip
right
good

Topic 1

government
people
right
think
obama
party
money
far

Topic 2

canada
hockey
game
team
win
gold
medal
canadian

Topic 3

reddit
post
mod
downvote
moderator
upvote
saydrah
subreddit

Topic 4

beer
smoke
wine
eat
taste
drink
good
food

Topic 5

friend
girl
sex
woman
child
want
relationship
like

Topic 6

fuck
bitch
fucking
bad
rabble
shit
troll
idiot

Topic 7

movie
watch
laugh
funny
episode
joke
think
film

Topic 8

music
song
album
band
listen
guitar
play
like

Topic 9

game
play
kill
level
wormhole
time
start
player

Topic 10

black
white
racism
people
racist
race
israel
jews

Topic 11

god
religion
bible
atheism
christian
church
jesus
atheist
Show all 17 topics

Topic 12

game
drm
pirate
piracy
play
console
buy
virus

Topic 13

php
language
java
python
code
ruby
framework
write

Topic 14

gun
shoot
rifle
safety
know
shotgun
weapon
kill

Topic 15

think
know
remind
sign
need
guess
ask
curious

Topic 16

cage
faraday
inside
brake
shield
underground
line
wire
Top hashtags
#140
#t33
#217
#39
#46
#ever5
#p5
#74
#94
#more4
#showtooltip4
#113
#53
#v3
#82
#controversy2
#filmography2
#health_considerations2
#parenting2
#structure_of_the_language2

Sampled: text metrics from 50K of 2.4M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-03
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
2,488,336
Nodes
1,495,295
Edges
1,155,646
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-03 (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, 283.5 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 — 2010-03 [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 — 2010-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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