Pushshift Reddit — 2014-09

A Reddit (Pushshift archive, 2014-09) dataset of 40,396,247 comments and 22,647,142 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 40,195 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2014-09 — full comment text, reply graph, and engagement metrics across 40,195 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 40,396,247 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

40.4M
Nodes
22.6M
Edges
1.00e-08
Density
17.7M
Components
0.00871
Assortativity
0.0%
Reciprocity
22.6M
Bridges
Most central nodes
ck9exc12e-05
ckqqk062e-05
ckr4kb61e-05
ck766zd1e-05
ckghqxe1e-05
ckdb5ho1e-05
cks53um1e-05
ckr3mzd1e-05
ckdalhz1e-05
ckjsjqt1e-05
Content metrics

40,396,247 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.568 ± 47.05
min -2.6Kmax 8.2K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.024
min 0max 36
6.4
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgotgameneedsureuseprettybetterthinglotdidndoesnactuallyworkpostlooknewthingsthanksprobablysaidlovegreatdayfeelyeahisnbestyearyearspointteamshittryplaybadmanfindlittlemaybe
Topic clusters

Topic 0

eat
food
taste
milk
drink
sauce
cheese
meat

Topic 1

draft
team
offense
defense
season
league
year
player

Topic 2

nude
leak
photo
nsa
picture
privacy
naked
celebrity

Topic 3

song
album
music
sound
band
guitar
listen
headphone

Topic 4

cpu
motherboard
ram
core
intel
newegg
performance
laptop

Topic 5

lmq
team
tsm
lcs
curse
clg
win
chinese

Topic 6

pic
picture
photo
want
lightroom
send
deliver
ink

Topic 7

cat
leg
lift
squat
knee
dog
rescue
traffic

Topic 8

russia
ukraine
war
israel
country
russian
putin
britain

Topic 9

striker
player
liverpool
qpr
season
bayern
arsenal
team

Topic 10

game
dlc
play
release
character
multiplayer
nintendo
beta

Topic 11

yes
sure
yeah
right
exactly
maybe
fine
huh
Show all 72 topics

Topic 12

pokemon
shiny
trade
hatch
egg
add
female
deposit

Topic 13

school
teacher
kid
student
class
grade
teach
life

Topic 14

upvote
downvote
reddit
comment
vote
karma
post
voting

Topic 15

car
wheel
bike
rear
boat
sail
drive
seat

Topic 16

link
list
find
code
google
source
template
click

Topic 17

god
slave
quran
religion
prophet
christian
church
muslims

Topic 18

sell
buy
price
money
sale
order
ebay
offer

Topic 19

post
automatically
moderator
question
remove
automoderator
tag
perform

Topic 20

snake
plant
burn
fire
tree
run
water
soil

Topic 21

akali
pick
yasuo
maokai
lulu
braum
game
lane

Topic 22

awesome
good
congrat
amazing
fantastic
nice
job
brilliant

Topic 23

joke
funny
laugh
hilarious
chuckle
humor
think
sarcasm

Topic 24

idea
ask
math
discrete
question
answer
integral
theory

Topic 25

que
los
por
para
las
con
del
hay

Topic 26

episode
anime
watch
series
manga
character
round
average

Topic 27

think
sense
thinking
thought
brain
calculator
site
rational

Topic 28

tank
gun
ammo
fire
rifle
ship
kill
sniper

Topic 29

video
youtube
watch
stream
channel
vid
twitch
streamer

Topic 30

weekend
day
guy
friday
today
high
flush
man

Topic 31

democracy
government
documentary
conservative
election
obama
vote
party

Topic 32

phone
device
android
app
mobile
wifi
tablet
iphone

Topic 33

feminist
people
woman
hate
trp
identity
gender
sexist

Topic 34

compare
guess
smart
point
verb
beckon
equal
ahhhh

Topic 35

bang
est
start
time
tuesday
close
hour
central

Topic 36

police
cop
tax
taxis
gun
pay
criminal
evidence

Topic 37

powder
cream
makeup
dry
hair
palette
lip
pencil

Topic 38

thank
babe
winnie
dakota
ollie
tyrogue
minnesota
thankyou

Topic 39

talk
speak
welsh
wales
kenny
dead
accent
voice

Topic 40

sorry
wrong
apology
forgive
apologize
post
momma
benghazi

Topic 41

suck
bad
scary
ugly
lustboy
sick
scream
gimme

Topic 42

cat
squirrel
harvick
track
black
stewart
tony
hit

Topic 43

deck
card
creature
mana
spell
minion
play
damage

Topic 44

relationship
sex
date
talk
feel
want
meet
wife

Topic 45

race
jimmie
nascar
pit
transponder
car
kahne
weird

Topic 46

thank
haha
okay
appreciate
sir
good
buddy
head

Topic 47

fuck
fucking
jack
bro
wobbly
irving
jamaal
fuckwits

Topic 48

play
game
irl
uhc
kart
ahh
yes
mario

Topic 49

movie
watch
film
prison
cinema
imdb
netflix
nick

Topic 50

wear
pant
fit
jean
shirt
belt
size
jacket

Topic 51

pay
hire
job
salary
income
cost
work
technical

Topic 52

know
aware
dude
snyder
wheeler
knows
bard
sisko

Topic 53

year
dad
old
intp
pierce
starter
twitching
howdy

Topic 54

steam
console
xbox
sony
game
microsoft
sega
buy

Topic 55

dick
vagina
penis
cock
suck
baby
pic
dude

Topic 56

iroh
avatar
fight
zuko
empire
rebel
zoro
governor

Topic 57

thank
info
appreciate
panettiere
input
hayden
gotcha
sudden

Topic 58

doge
mate
verify
dogecoin
frontpage
gut
label
congrat

Topic 59

like
doin
lesbian
swedish
moar
similar
dope
mmm

Topic 60

happen
wonder
wait
happens
hitter
hodge
ohhhh
wrestler

Topic 61

look
dress
fit
nice
sexy
beautiful
tight
clothe

Topic 62

wtf
hell
seriously
ugh
goddammit
bunk
keegan
michelle

Topic 63

bitcoin
coin
credit
card
address
market
bank
invest

Topic 64

addict
weed
dentist
smoke
quit
alcoholic
stop
opiate

Topic 65

level
fodder
run
gold
fuse
unit
drop
cost

Topic 66

idiot
hate
faggot
fucking
dumb
satan
retard
stupid

Topic 67

add
duncan
noun
set
electric
forgot
addition
insert

Topic 68

blue
color
white
yellow
black
red
purple
orange

Topic 69

king
arya
iron
warg
jon
throne
battle
asoiaf

Topic 70

catch
ball
bowl
hit
throw
produce
run
dry

Topic 71

trade
trading
trader
ready
reliable
online
offer
pair
Top hashtags
#009119
#154
#232
#973331
#or30
#sfw30
#wiki_25
#018
#t18
#313
#whatconstitutesspam11
#323210
#59
#97349
#wiki_39
#47
#gid7
#0056
#106
#q6
Top emoji
🍀1
😂1
😄1
😆1
😉1
😋1
😕1
😱1

Sampled: text metrics from 50K of 38.7M 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-2014-09
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
40,396,247
Nodes
40,396,247
Edges
22,647,142
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2014-09 (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, 4.2 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 — 2014-09 [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 — 2014-09. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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