Pushshift Reddit — 2013-08

A Reddit (Pushshift archive, 2013-08) dataset of 29,624,163 comments and 15,625,827 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 27,676 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2013-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 27,676 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 29,624,163 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

29.6M
Nodes
15.6M
Edges
2.00e-08
Density
14M
Components
0.01099
Assortativity
0.0%
Reciprocity
15.6M
Bridges
Most central nodes
cbisbwb2e-05
cbt3bhi2e-05
cbn2uu22e-05
cblqpk62e-05
cbep07y1e-05
cbqagqv1e-05
cbvmbau1e-05
cbt34r91e-05
cbfyn4u1e-05
cbjjeik1e-05
Content metrics

29,624,163 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.931 ± 45.7
min -1.1Kmax 11.1K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.019
min 0max 52
6.3
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkgoodknowtimewantwaygoingrightgotgameworkusesurebetterprettythingneedlotactuallydoesndidnthingsnewlovegreatlookyearssaidprobablybestfindfeeldaypointbadisnlittlethanksshitmanyeahmoneylifetrymaybeplayyear
Topic clusters

Topic 0

game
play
like
player
good
time
people
think

Topic 1

pay
wage
job
work
money
school
people
business

Topic 2

feel
eat
like
food
time
thing
good
want

Topic 3

team
season
player
game
year
play
win
league

Topic 4

movie
video
watch
film
book
episode
scene
like

Topic 5

laptop
apple
use
keyboard
update
run
mouse
usb

Topic 6

fuck
hate
fucking
shit
asshole
sad
stupid
kid

Topic 7

god
think
universe
theory
people
religion
exist
science

Topic 8

post
reddit
downvote
comment
upvote
karma
automatically
moderator

Topic 9

government
july
country
people
obama
white
politic
america

Topic 10

song
music
album
listen
love
band
like
sound

Topic 11

thank
glad
welcome
appreciate
awesome
hear
thanks
enjoy
Show all 18 topics

Topic 12

look
cute
love
happy
beautiful
nice
fun
birthday

Topic 13

car
bike
drive
wheel
ride
lane
tire
driver

Topic 14

live
tree
area
stump
city
good
south
florida

Topic 15

link
time
wait
hour
page
post
minute
thread

Topic 16

joke
laugh
funny
hilarious
think
humor
walt
laughter

Topic 17

idea
hope
try
good
luck
check
point
find
Top hashtags
#9733170
#9734120
#144
#ratings28
#224
#3915
#09
#0398
#32328
#t8
#47
#s6
#105
#55
#124944
#34
#84
#944
#include4
#v4
Top emoji
🌟2
🌍1
👍1
💋1
💫1
😃1

Sampled: text metrics from 50K of 28.5M 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-2013-08
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
29,624,163
Nodes
29,624,163
Edges
15,625,827
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-08 (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, 3.1 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 — 2013-08 [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 — 2013-08. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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