Pushshift Reddit — 2013-09

A Reddit (Pushshift archive, 2013-09) dataset of 27,330,580 comments and 14,413,236 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 28,083 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2013-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 28,083 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 27,330,580 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

27.3M
Nodes
14.4M
Edges
2.00e-08
Density
12.9M
Components
0.00928
Assortativity
0.0%
Reciprocity
14.4M
Bridges
Most central nodes
cce82ak3e-05
cc1ct4s2e-05
cc13sen2e-05
cc0vscm2e-05
cc10o6h1e-05
cccmvah1e-05
ccdep5v1e-05
cc5puju1e-05
cc0j7an1e-05
cc5hr091e-05
Content metrics

27,330,580 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 6.126 ± 47.95
min -2.3Kmax 7K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.016
min 0max 14
6.3
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinktimegoodknowgamewaygoingwantgotrightprettysuredidnbetterneedthingactuallyuselotworkdoesngreatlooksaidthingslovebadnewprobablybestplaydayshityearyeahthanksfeelfindtrypointlittlemantsmisnyearsthoughtfuck
Topic clusters

Topic 0

game
play
player
server
like
mod
level
damage

Topic 1

team
game
season
play
year
defense
league
player

Topic 2

eat
fat
drink
calorie
beer
cheese
food
weight

Topic 3

look
love
color
hair
beautiful
like
eye
shirt

Topic 4

money
pay
buy
price
sell
market
order
cost

Topic 5

car
bike
road
drive
brake
truck
hit
ride

Topic 6

time
hour
day
week
bus
open
ticket
downtown

Topic 7

song
sound
music
album
listen
band
hear
like

Topic 8

war
syria
chemical
weapon
assad
congress
obama
israel

Topic 9

thank
appreciate
man
share
sir
okay
awesome
lot

Topic 10

fuck
shit
fucking
bad
sad
stupid
wtf
dumb

Topic 11

download
computer
linux
file
windows
use
laptop
program
Show all 32 topics

Topic 12

upvote
downvote
vote
karma
party
opinion
democrat
post

Topic 13

tsm
vulcun
play
team
game
clg
win
amazing

Topic 14

sex
feel
relationship
life
child
parent
people
know

Topic 15

lens
camera
pic
picture
earth
point
flash
angle

Topic 16

joke
laugh
funny
satire
hilarious
think
sarcasm
pun

Topic 17

school
class
college
teacher
math
student
program
good

Topic 18

dog
cat
pit
rescue
bird
bull
vet
pet

Topic 19

dyrus
rumble
ult
equalizer
mvp
game
tsm
turtle

Topic 20

woman
racist
man
black
white
male
feminist
people

Topic 21

think
mean
sense
ace
believe
idea
thought
essence

Topic 22

movie
film
story
batman
arc
watch
great
good

Topic 23

god
religion
believe
belief
science
church
bible
question

Topic 24

episode
titan
eren
spoiler
anime
character
manga
titans

Topic 25

cool
good
congratulation
nice
job
awesome
holy
happy

Topic 26

yes
ftfy
true
okay
yeah
yep
sure
right

Topic 27

yay
que
att
bub
har
jag
som
itt

Topic 28

sorry
forget
mistake
delete
oops
raffle
apologize
phrase

Topic 29

question
ask
answer
einstein
albert
understand
interesting
explain

Topic 30

fight
chico
round
fighter
camus
think
win
soa

Topic 31

weed
month
quit
week
drug
cannabis
therapy
smoking
Top hashtags
#147
#231
#t20
#323216
#312
#510
#399
#baylieve8
#s8
#06
#46
#spoiler6
#84
#believe4
#wiki_34
#183
#203
#233
#363
#63
Top emoji
😄2
🎉1
🐒1
😀1
😃1
😎1

Sampled: text metrics from 50K of 26.3M records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)

Record

Catalog key
pushshift-reddit-2013-09
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
27,330,580
Nodes
27,330,580
Edges
14,413,236
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-09 (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, 2.9 GB 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 — 2013-09 [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 — 2013-09. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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