Pushshift Reddit — 2013-03

A Reddit (Pushshift archive, 2013-03) dataset of 25,804,248 comments and 13,019,542 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 24,527 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2013-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 24,527 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#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 25,804,248 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

25.8M
Nodes
13M
Edges
2.00e-08
Density
12.8M
Components
0.00797
Assortativity
0.0%
Reciprocity
13M
Bridges
Most central nodes
c94mcgc2e-05
c92zeg72e-05
c90c1on1e-05
c8z9zx81e-05
c90ar821e-05
c8tat021e-05
c8wzq6e1e-05
c906zw41e-05
c8vgfe51e-05
c8vnjpf1e-05
Content metrics

25,804,248 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 6.03 ± 44.8
min -4.2Kmax 7.2K
controversiality2.5% true
true 2.5%false 97.5%
gildedavg 0.00 / 10
0std 0.0110
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaygoinggotrightgameprettyactuallythingneedsuredidnworkuselotbetterlovedoesnthingslookgreatnewprobablyfeeldaysaidfindbadyearspointyeahlittlebestthanksisnmanshittrypostguylongthoughtgetting
Topic clusters

Topic 0

look
like
beautiful
shoe
sexy
hair
hand
wear

Topic 1

post
upvote
downvote
comment
reddit
link
sorry
subreddit

Topic 2

feel
dare
friend
girl
like
parent
time
sex

Topic 3

team
sec
game
football
play
player
season
win

Topic 4

eat
food
weight
diet
fat
meat
taste
sauce

Topic 5

god
people
atheist
black
religion
believe
think
church

Topic 6

game
play
dlc
console
steam
like
player
buy

Topic 7

car
drive
engine
road
wheel
insurance
rental
bike

Topic 8

windows
newegg
phone
cpu
drive
keyboard
monitor
motherboard

Topic 9

fuck
bad
bitch
suck
fucking
damn
shit
stupid

Topic 10

song
music
sound
listen
voice
drum
track
like

Topic 11

think
idea
try
problem
like
web
sense
mind
Show all 24 topics

Topic 12

drug
smoke
welfare
test
beer
water
testing
people

Topic 13

government
obama
vote
law
state
politic
party
hitler

Topic 14

thank
awesome
gift
appreciate
post
glad
know
man

Topic 15

joke
funny
laugh
hilarious
pun
humor
nsfw
cringe

Topic 16

time
day
week
hour
month
night
polish
year

Topic 17

bank
money
pay
credit
card
fund
loan
payment

Topic 18

piece
strength
attack
deck
fix
capture
damage
player

Topic 19

movie
episode
watch
spoiler
character
scene
film
anime

Topic 20

good
wow
great
amazing
job
nice
lucky
fantastic

Topic 21

lane
game
team
play
meta
champion
mid
dota

Topic 22

rape
gender
false
woman
accusation
victim
rapist
insult

Topic 23

school
student
work
college
year
class
job
time
Top hashtags
#auto46
#134
#323228
#t20
#217
#012
#311
#411
#b8
#396
#916
#97336
#934
#97344
#63
#903
#hl3
#this3
#v3
#views3

Sampled: text metrics from 50K of 24.8M 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-2013-03
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
25,804,248
Nodes
25,804,248
Edges
13,019,542
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-03 (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, 2.7 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 — 2013-03 [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 — 2013-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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