Pushshift Reddit — 2010-10

A Reddit (Pushshift archive, 2010-10) dataset of 3,958,154 comments and 1,829,837 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,904 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,904 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#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,372,280 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2.4M
Nodes
1.8M
Edges
3.25e-07
Density
542.4K
Components
0.0%
Reciprocity
1.8M
Bridges
Most central nodes
c12mlow7e-05
c12a2wv6e-05
c12wcg34e-05
c12ka024e-05
c13x08s4e-05
c132vpf4e-05
c13p48t4e-05
c13pggs3e-05
c12a1jy3e-05
c13p7733e-05
Content metrics

3,958,154 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.114 ± 20.18
min -501max 3.9K
gilded0.0% true
true 0.0%false 100.0%
6.6
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantrightgoingactuallyuseworkneedthingthingsgotsuredoesnprettybetterlotdidngreatyearsnewfindgamepointloveprobablylooklifesaidmandayshittryisnfeellittlebadguyyeahbestmoneylongyesread
Topic clusters

Topic 0

facebook
post
reddit
link
downvote
upvote
comment
karma

Topic 1

game
play
player
team
hat
item
like
good

Topic 2

eat
chicken
egg
food
taste
calorie
sleep
cheese

Topic 3

use
update
computer
work
phone
browser
run
file

Topic 4

look
hair
cat
costume
wear
compliment
sexy
dress

Topic 5

sex
feel
relationship
gay
woman
want
man
like

Topic 6

song
music
album
band
play
listen
guitar
sound

Topic 7

tax
pay
money
government
taxis
bank
people
income

Topic 8

car
bike
lane
drive
stop
traffic
driver
turn

Topic 9

god
religion
believe
atheist
exist
bible
belief
evidence

Topic 10

school
teacher
class
grade
student
college
kid
teach

Topic 11

winter
snow
stair
cold
boat
fall
live
ball
Show all 24 topics

Topic 12

guy
girl
friend
girlfriend
man
masturbate
cry
sister

Topic 13

movie
episode
watch
season
film
character
good
series

Topic 14

liar
fuck
fucking
hate
bitch
guy
shit
dumb

Topic 15

thank
shape
overall
draw
drawing
angle
figure
work

Topic 16

funny
laugh
joke
comic
hilarious
funniest
laughter
pun

Topic 17

moon
planet
earth
life
space
star
nasa
sun

Topic 18

think
idea
year
haha
thought
mind
ago
wow

Topic 19

yes
right
yeah
sure
wait
true
definitely
exactly

Topic 20

vote
party
republican
tea
obama
democrats
republicans
president

Topic 21

smoke
weed
pipe
bowl
marijuana
tobacco
high
bud

Topic 22

video
youtube
remind
watch
nbc
vid
copyright
contain

Topic 23

awesome
good
cool
badass
amazing
holy
great
amazed
Top hashtags
#132
#228
#t26
#318
#p8
#46
#define6
#74
#53
#533
#63
#83
#93
#design3
#find3
#include3
#v3
#302
#hl2
#koolaidman2

Sampled: text metrics from 50K of 3.8M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-10
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
3,958,154
Nodes
2,372,280
Edges
1,829,837
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-10 (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 2026-10-16, 441.5 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 — 2010-10 [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 — 2010-10. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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