Pushshift Reddit — 2013-05

A Reddit (Pushshift archive, 2013-05) dataset of 28,003,775 comments and 14,455,125 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 25,976 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2013-05 — full comment text, reply graph, and engagement metrics across 25,976 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 28,003,775 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

28M
Nodes
14.5M
Edges
2.00e-08
Density
13.5M
Components
0.00594
Assortativity
0.0%
Reciprocity
14.5M
Bridges
Most central nodes
ca89nbl4e-05
ca8711b2e-05
c9w2qek2e-05
ca83hsz2e-05
ca32lf62e-05
c9qz1gq1e-05
ca1pidq1e-05
ca7e11a1e-05
c9sk93k1e-05
c9qgbj61e-05
Content metrics

28,003,775 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 6.202 ± 46.21
min -3.1Kmax 4.8K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.015
min 0max 16
6.5
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantgoingrightgotprettygamethinglotactuallyneedbetterworksuredoesndidnusethingssaidlooklovegreatnewlinkfeeldayprobablyfindbadyearspointshitbestmanyeahisnlittletrythanksguylongthoughtpost
Topic clusters

Topic 0

gem
game
play
damage
player
good
enemy
like

Topic 1

eat
drink
water
weight
day
food
beer
good

Topic 2

team
fan
game
play
season
player
playoff
year

Topic 3

friend
know
feel
relationship
time
like
parent
girl

Topic 4

people
police
government
white
cop
racist
search
right

Topic 5

look
love
hair
color
wear
face
shoe
pant

Topic 6

movie
watch
episode
video
film
series
season
like

Topic 7

car
bike
drive
cargo
road
aircraft
stall
plane

Topic 8

music
song
album
sound
listen
band
hear
like

Topic 9

money
pay
dollar
bitcoin
price
sell
stock
card

Topic 10

thank
glad
congratulation
awesome
hope
post
tip
congrat

Topic 11

downvote
upvote
comment
karma
vote
post
reddit
people
Show all 22 topics

Topic 12

yes
awesome
wow
good
yeah
fine
cool
true

Topic 13

god
religion
church
believe
atheist
people
christian
think

Topic 14

cat
guy
old
dog
dick
kitty
boner
penis

Topic 15

cpu
file
drive
run
card
amazon
version
download

Topic 16

fuck
creepy
fucking
shit
bad
motherfucker
terrifying
man

Topic 17

paint
look
picture
color
photoshop
photo
like
red

Topic 18

read
ask
idea
question
answer
curve
understand
book

Topic 19

school
college
work
job
student
pay
year
graduate

Topic 20

link
page
send
post
search
click
facebook
lazy

Topic 21

joke
funny
laugh
hilarious
humor
comedy
think
know
Top hashtags
#151
#auto37
#225
#t21
#323220
#318
#973313
#1249412
#9412
#3910
#410
#quote9
#s8
#97347
#b7
#06
#96
#wiki_rule_16
#104
#124
Top emoji
🎵1
😢1

Sampled: text metrics from 50K of 26.9M 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-2013-05
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
28,003,775
Nodes
28,003,775
Edges
14,455,125
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-05 (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 — 2013-05 [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 — 2013-05. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →