Pushshift Reddit — 2013-10

A Reddit (Pushshift archive, 2013-10) dataset of 30,865,755 comments and 16,293,979 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 28,878 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2013-10 — full comment text, reply graph, and engagement metrics across 28,878 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 30,865,755 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

30.9M
Nodes
16.3M
Edges
2.00e-08
Density
14.6M
Components
0.00999
Assortativity
0.0%
Reciprocity
16.3M
Bridges
Most central nodes
ccrfo5p2e-05
ccqctb32e-05
ccq4gnr2e-05
ccwrkk81e-05
ccthfa41e-05
ccnglge1e-05
cct4dm41e-05
ccqbis11e-05
cd2v2c51e-05
cckv2511e-05
Content metrics

30,865,755 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.803 ± 46.58
min -1Kmax 6.1K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.023
min 0max 16
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkgoodtimeknowwantwaygoingrightgamegotprettyneedthingactuallyworksuredidnbetterlotusedoesnthingslookbadnewfeelgreatloveprobablysaiddaybestfindyearyearstrythanksplayisnpointlongyeahshitlittlemaybeguypost
Topic clusters

Topic 0

look
hair
like
cat
color
eye
camera
picture

Topic 1

game
play
player
like
level
good
time
think

Topic 2

team
game
play
year
player
win
good
fan

Topic 3

government
pay
insurance
people
vote
fox
tax
money

Topic 4

eat
smoke
pizza
day
food
like
beer
taste

Topic 5

post
reddit
link
comment
sorry
downvote
upvote
subreddit

Topic 6

episode
walt
season
watch
movie
jesse
bad
breaking

Topic 7

car
bike
drive
biker
like
driver
run
brake

Topic 8

song
music
sound
good
band
album
like
hear

Topic 9

thank
sure
point
appreciate
exactly
man
haha
confirm

Topic 10

war
god
people
woman
north
soldier
church
korean

Topic 11

windows
linux
memory
time
card
apple
upgrade
monitor
Show all 17 topics

Topic 12

friend
relationship
feel
time
like
date
sex
want

Topic 13

sell
buy
price
money
stock
sale
market
cost

Topic 14

school
college
math
class
job
student
work
high

Topic 15

laugh
joke
funny
hilarious
lol
hard
chuckle
funniest

Topic 16

think
guess
mind
talk
know
idea
thought
opposite
Top hashtags
#140
#323226
#t24
#219
#312
#i7
#56
#97335
#97345
#s5
#204
#394
#44
#wiki_how_to_avoid_4
#wiki_what_is_tl4
#03
#73
#http3
#v3
#wiki_33
Top emoji
👍1
💦1
💧1
😃1
😐1
🙆1

Sampled: text metrics from 50K of 29.6M 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-2013-10
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
30,865,755
Nodes
30,865,755
Edges
16,293,979
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-10 (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, 3.2 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 — 2013-10 [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 — 2013-10. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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