Pushshift Reddit — 2015-03

A Reddit (Pushshift archive, 2015-03) dataset of 50,851,434 comments and 29,603,778 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 46,560 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-03 — full comment text, reply graph, and engagement metrics across 46,560 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 50,851,434 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

50.9M
Nodes
29.6M
Edges
1.00e-08
Density
21.2M
Components
0.01805
Assortativity
0.0%
Reciprocity
29.6M
Bridges
Most central nodes
cpq3jky2e-05
cpsffjz1e-05
cplkji61e-05
cp9ydaw1e-05
cpjte1j1e-05
cpkw0vj1e-05
cp5eiew1e-05
cp424sl1e-05
cp9qrwn1e-05
cp2wdo91e-05
Content metrics

50,851,434 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.825 ± 49.51
min -2.2Kmax 9.2K
controversiality0.8% true
true 0.8%false 99.2%
gildedμ 0 ± 0.021
min 0max 28
6.5
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinktimegoodknowwantgamewaygoinggotrightusesureneedprettyworklotactuallydoesnbetterdidnthingthingspostnewgreatprobablylooksaidthankslovebestisnyeahfeelyearsmaybetrybaddaygettingpointplayfindlongshitmanlittle
Topic clusters

Topic 0

team
game
player
season
play
win
year
fan

Topic 1

album
song
music
video
listen
band
artist
sound

Topic 2

beer
drink
food
wine
bottle
taste
eat
pizza

Topic 3

war
racist
socialism
people
government
state
political
white

Topic 4

car
torque
engine
drive
horsepower
rpm
power
road

Topic 5

automatically
moderator
comment
automoderator
question
post
remove
perform

Topic 6

guess
hope
happen
ask
know
york
understand
question

Topic 7

weed
drug
doctor
alcohol
marijuana
pain
feel
cause

Topic 8

tsm
ult
talon
play
enemy
team
jungler
pick

Topic 9

pokemon
ign
shiny
deposit
male
hatch
female
lvl

Topic 10

water
snow
fish
pressure
grow
plant
cut
dry

Topic 11

yes
agree
right
true
sure
yeah
hail
exactly
Show all 55 topics

Topic 12

game
play
fun
gameplay
run
hour
time
buy

Topic 13

april
march
week
sunday
monday
tuesday
thursday
saturday

Topic 14

think
read
believe
thinking
brain
book
mind
atm

Topic 15

fuck
fucking
stupid
terrible
shit
suck
dumb
wow

Topic 16

laugh
funny
meme
joke
hilarious
dank
pun
humor

Topic 17

religion
philosophy
philosopher
religious
church
atheist
reality
people

Topic 18

good
amazing
glad
bro
haha
holy
pretty
great

Topic 19

putin
russia
russian
russians
ukraine
west
opposition
war

Topic 20

damage
card
deck
run
kill
attack
crit
spell

Topic 21

school
job
class
student
degree
professor
apply
program

Topic 22

batman
anime
character
story
series
luffy
plot
fate

Topic 23

thank
advice
awesome
response
tip
sentence
try
wow

Topic 24

ram
card
gpu
motherboard
mac
atx
cpu
monitor

Topic 25

que
los
para
por
como
con
las
del

Topic 26

harry
voldemort
transfigure
transfiguration
wand
prophecy
ned
sirius

Topic 27

gate
open
door
plane
house
couch
room
walk

Topic 28

thank
haha
appreciate
hahaha
wow
everybody
togepi
peru

Topic 29

forget
stop
nope
nah
leave
ignore
nocontext
forgot

Topic 30

bond
mortgage
house
pay
loan
fund
interest
fee

Topic 31

movie
film
intermission
watch
biopic
favorite
scene
sister

Topic 32

relationship
date
marry
want
girl
feel
friend
know

Topic 33

att
jag
som
die
ist
der
nicht
ich

Topic 34

kill
dead
die
death
murder
rip
dimebag
town

Topic 35

blue
color
black
orange
white
colour
gold
yellow

Topic 36

accent
people
talk
pronunciation
seven
pronounce
english
know

Topic 37

price
ticket
buy
sell
sale
card
cost
expensive

Topic 38

psn
warlock
titan
lvl
hunter
exp
sword
max

Topic 39

backup
linux
computer
windows
software
update
file
virus

Topic 40

police
officer
case
jury
convict
charge
judge
court

Topic 41

woman
gay
gender
man
insult
sex
consent
age

Topic 42

dog
vet
pet
alert
puppy
boxer
house
shelter

Topic 43

gun
rifle
ammo
magazine
pistol
ffl
firearm
round

Topic 44

eat
calorie
diet
fat
weight
food
healthy
lose

Topic 45

sorry
wrong
apologize
rain
sir
nope
delete
fare

Topic 46

domain
trade
transfer
host
offer
interested
current
ready

Topic 47

episode
spoiler
watch
series
tower
season
fort
minute

Topic 48

smile
cute
adorable
grin
love
rin
awww
blush

Topic 49

amiibo
nintendo
mario
mega
bundle
game
sonic
new

Topic 50

dress
wear
blush
jacket
leather
size
look
hair

Topic 51

comment
reddit
article
cbo
math
canada
haha
constructive

Topic 52

squat
bar
muscle
weight
rep
lift
low
strength

Topic 53

pant
boot
shoe
black
wear
fit
sole
jean

Topic 54

look
makeup
wear
amazing
great
pro
appearance
similar
Top hashtags
#00983
#146
#227
#wiki_27
#t24
#or19
#sfw19
#kappa18
#wiki_1012
#973311
#97349
#wiki_rules_for_submitters8
#37
#s7
#56
#wiki_vague_titles6
#x275
#04
#124
#304
Top emoji
💗9
👽6
😂4
😉4
😊4
😎4
🍁3
😁3
😍3
👍2
💰2
😅2
🐘1
🐣1
🐱1

Sampled: text metrics from 50K of 48.8M 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-2015-03
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
50,851,434
Nodes
50,851,434
Edges
29,603,778
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2015-03 (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, 5.2 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 — 2015-03 [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 — 2015-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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