Pushshift Reddit — 2014-03

A Reddit (Pushshift archive, 2014-03) dataset of 36,898,962 comments and 20,026,659 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 36,149 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2014-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 36,149 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 36,898,962 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

36.9M
Nodes
20M
Edges
1.00e-08
Density
16.9M
Components
0.00894
Assortativity
0.0%
Reciprocity
20M
Bridges
Most central nodes
cggc3am2e-05
cg4ob7o1e-05
cg5lum51e-05
cgb042u1e-05
cfvc0851e-05
cfzlgiw1e-05
cfujxjz1e-05
cfunydx1e-05
cgbrdpc1e-05
cg9pjwh1e-05
Content metrics

36,898,962 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.63 ± 46.9
min -782max 17.8K
controversiality2.3% true
true 2.3%false 97.7%
gildedμ 0 ± 0.021
min 0max 14
6.5
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgotneedgameworkusethingprettysurelotactuallydoesnbetterdidnlovegreatthingsnewprobablythankssaidlookfeelyearsisnpostpointtrybestdayfindyeahmanshitlongplaymaybelittlebadgetting
Topic clusters

Topic 0

team
miller
stewart
player
halak
win
league
fan

Topic 1

album
song
band
listen
music
sound
good
hear

Topic 2

car
drive
tire
space
bike
road
engine
energy

Topic 3

pay
job
work
company
money
price
wage
interview

Topic 4

damage
deck
kill
play
weapon
attack
game
lane

Topic 5

woman
relationship
sex
man
feel
friend
want
people

Topic 6

game
play
console
like
nintendo
release
mario
new

Topic 7

look
color
like
shoe
shirt
wear
hand
paint

Topic 8

pokemon
tomorrow
trade
available
doc
shiny
hey
message

Topic 9

god
religion
people
government
racist
atheist
christian
claim

Topic 10

video
stream
oscars
link
click
post
live
youtube

Topic 11

plant
ice
rain
snow
live
heart
cold
weather
Show all 39 topics

Topic 12

russia
ukraine
russian
war
country
military
putin
force

Topic 13

eat
cheese
sauce
taco
pizza
pepper
bread
chicken

Topic 14

read
book
know
tell
story
confuse
word
speed

Topic 15

time
month
minute
day
long
hour
late
count

Topic 16

downvote
upvote
vote
reddit
thread
subreddit
karma
repost

Topic 17

thank
awesome
alright
man
appreciate
sir
haha
mcdonagh

Topic 18

yes
right
yeah
sure
yep
exactly
correct
maybe

Topic 19

fat
drink
weight
body
calorie
eat
muscle
coffee

Topic 20

movie
watch
sorry
film
thread
good
plot
trailer

Topic 21

fuck
fucking
bitch
shit
blah
suck
holy
goddamnit

Topic 22

motherboard
cpu
card
power
supply
ssd
gtx
processor

Topic 23

funny
laugh
joke
pun
resurrection
seinfeld
hilarious
chuckle

Topic 24

que
pas
les
los
att
pour
une
nicht

Topic 25

smile
beautiful
wow
hot
love
nice
pretty
happy

Topic 26

drug
smoke
pain
heroin
weed
cigarette
antibiotic
smoking

Topic 27

god
man
brother
cake
day
guy
old
happy

Topic 28

bitcoin
coin
btc
exchange
mtgox
gox
transaction
value

Topic 29

phone
app
send
message
plugin
list
mail
inbox

Topic 30

moderator
automatically
remove
automoderator
post
question
contact
concern

Topic 31

welcome
good
congratulation
enjoy
congrat
nice
congrats
proud

Topic 32

episode
season
spoiler
watch
anime
dante
end
hannibal

Topic 33

think
thought
point
like
thinking
know
assumption
success

Topic 34

mouse
windows
developer
port
app
tool
firefox
address

Topic 35

thank
info
add
suggestion
information
guide
share
study

Topic 36

feel
sad
bad
like
sorry
period
feeling
dark

Topic 37

doge
dogetipbot
dogecoin
shibe
tip
gif
moon
user

Topic 38

dog
cute
adorable
puppy
baby
mini
cat
ear
Top hashtags
#009135
#147
#or45
#sfw41
#973327
#t23
#215
#973413
#311
#quick11
#btn10
#nsfw9
#08
#32328
#bondage7
#wiki_7
#46
#s6
#55
#bdsm5
Top emoji
😭3
👉2
😁2
🏁1
👌1
👍1
💋1
😢1

Sampled: text metrics from 50K of 35.3M 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-2014-03
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
36,898,962
Nodes
36,898,962
Edges
20,026,659
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2014-03 (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, 3.9 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 — 2014-03 [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 — 2014-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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