Pushshift Reddit — 2010-05

A Reddit (Pushshift archive, 2010-05) dataset of 2,528,094 comments and 1,166,669 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,924 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,924 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 1,513,313 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
5.09e-07
Density
346.6K
Components
0.0%
Reciprocity
1.2M
Bridges
Most central nodes
c0qik6t6e-05
c0ps2yg5e-05
c0qb1k25e-05
c0ph9z54e-05
c0ps2fm4e-05
c0qvwwl4e-05
c0pz2lx4e-05
c0pu1ng4e-05
c0qudix4e-05
c0q5sxi4e-05
Content metrics

2,528,094 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.017 ± 17.24
min -578max 2.6K
gilded0.0% true
true 0.0%false 100.0%
6.7
Flesch–Kincaid grade
US school grade level
7.2
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwaywantrightgoingworkneedgotthingactuallyusedoesnthingsyearssuredidnlotprettyfindbetterdaysaidpointlooklifeprobablygreatnewisnbaconlovebestyesguygametrymaybefeellonglittleshitmanreadworld
Topic clusters

Topic 0

girl
sex
friend
feel
like
woman
relationship
want

Topic 1

upvote
reddit
read
downvote
post
comment
link
book

Topic 2

game
play
player
fallout
time
team
good
like

Topic 3

flash
windows
file
run
use
linux
partition
mac

Topic 4

money
pay
credit
bank
job
loan
work
people

Topic 5

religion
god
israel
atheist
religious
woman
believe
church

Topic 6

movie
watch
episode
video
film
season
series
scene

Topic 7

animal
cat
dog
chinchilla
human
pet
research
die

Topic 8

fuck
douche
idiot
whine
sad
blah
fucking
feel

Topic 9

eat
burger
veggie
food
cook
bacon
sandwich
cheese

Topic 10

song
sound
music
album
band
guitar
lyric
hear

Topic 11

school
college
student
teacher
class
parent
yale
year
Show all 30 topics

Topic 12

obama
vote
party
palin
republican
bush
liberal
government

Topic 13

think
idea
know
answer
question
talk
thought
ask

Topic 14

hot
cute
awesome
smile
totally
great
beautiful
amazing

Topic 15

illegal
law
police
cop
immigrant
arizona
immigration
arrest

Topic 16

mattress
city
canada
sleep
vancouver
room
place
live

Topic 17

guess
leave
write
point
writing
problem
page
math

Topic 18

forget
try
happen
find
hope
day
wednesday
good

Topic 19

thank
welcome
appreciate
helpful
know
reply
advice
awesome

Topic 20

bike
gear
ride
clutch
car
thumb
run
finger

Topic 21

look
guy
face
like
picture
tiger
man
photoshoppe

Topic 22

funny
laugh
joke
hilarious
sound
pun
laughter
comedy

Topic 23

beer
drink
drunk
alcohol
ale
drinking
night
coke

Topic 24

english
accent
language
speak
pronounce
word
comma
american

Topic 25

photoshop
camera
image
photo
picture
version
art
hdr

Topic 26

white
race
china
ethnic
people
gene
racist
racism

Topic 27

smoke
cigarette
grow
shower
plant
soil
water
light

Topic 28

oil
spill
water
fuel
gas
energy
drill
industry

Topic 29

apple
patent
return
steal
iphone
ipad
device
jobs
Top hashtags
#t55
#125
#215
#ignorance11
#48
#36
#p5
#v5
#54
#64
#container4
#i3
#main3
#reddith3
#182
#board_of_directors2
#comment2
#controversy2
#getgames2
#history2

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

Record

Catalog key
pushshift-reddit-2010-05
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
2,528,094
Nodes
1,513,313
Edges
1,166,669
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-05 (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, 281.7 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 — 2010-05 [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 — 2010-05. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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