Pushshift Reddit — 2011-03

A Reddit (Pushshift archive, 2011-03) dataset of 3,603,143 comments and 2,792,355 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 5,214 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-03 — full comment text, reply graph, and engagement metrics across 5,214 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,603,143 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.6M
Nodes
2.8M
Edges
2.15e-07
Density
810.8K
Components
0.0%
Reciprocity
2.8M
Bridges
Most central nodes
c1jicsj0.00037
c1j3k0b7e-05
c1jilfu5e-05
c1lsokv4e-05
c1jml4z4e-05
c1lqlp93e-05
c1j6nal3e-05
c1jzyjo3e-05
c1k5da23e-05
c1lixlc3e-05
Content metrics

5,981,601 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.223 ± 22.75
min -421max 3.1K
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
likedonpeoplethinktimeknowgoodwaywantrightgoingworkgotneedprettyactuallythingusesuredidnthingssaidbetterdoesnlotyearspointdaygreatampfindlifelookloveprobablyyesnewlittlefeelshitgameguyisnbestthoughttrymanlongbadmoney
Topic clusters

Topic 0

government
people
pay
money
union
country
tax
system

Topic 1

beer
drink
taste
water
smoke
eat
like
coffee

Topic 2

god
religion
child
believe
people
atheist
christian
religious

Topic 3

think
point
idea
suicide
ask
mean
work
know

Topic 4

apple
server
run
windows
linux
install
internet
use

Topic 5

feel
relationship
girl
sex
woman
like
date
friend

Topic 6

downvote
reddit
upvote
post
comment
upvoted
karma
username

Topic 7

movie
watch
video
episode
film
great
star
like

Topic 8

fuck
cat
pant
shit
fucking
bitch
sad
idiot

Topic 9

car
bike
hair
driver
ride
lane
road
cyclist

Topic 10

school
class
teacher
student
college
degree
professor
kid

Topic 11

effect
drug
meat
animal
eat
vaccine
cause
propecia
Show all 24 topics

Topic 12

song
album
music
listen
guitar
band
sound
hear

Topic 13

shirt
look
wear
nice
good
beautiful
hoodie
like

Topic 14

team
player
fan
season
game
year
play
think

Topic 15

zerg
terran
tank
warp
player
unit
game
race

Topic 16

thank
link
appreciate
check
sir
response
head
desk

Topic 17

happen
time
try
week
day
weekend
minute
tonight

Topic 18

game
play
steam
console
rift
time
valve
like

Topic 19

joke
laugh
funny
hilarious
pun
humor
thread
chuckle

Topic 20

nope
fuck
holy
wow
amazing
lol
awesome
priceless

Topic 21

run
weight
muscle
leg
mile
calorie
knee
rep

Topic 22

gun
shoot
rifle
firearm
round
safety
build
pistol

Topic 23

guy
man
dude
tattoo
sound
ron
like
male
Top hashtags
#32321K
#t45
#140
#221
#317
#p13
#46
#56
#94
#normaltweetnoteffectedbyjessicaalba4
#163
#102
#1002
#2002
#302
#62
#82
#802
#at2
#north_america2

Sampled: text metrics from 50K of 5.8M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2011-03
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
5,981,601
Nodes
3,603,143
Edges
2,792,355
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-03 (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, 671.4 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 — 2011-03 [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 — 2011-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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