Pushshift Reddit — 2013-06

A Reddit (Pushshift archive, 2013-06) dataset of 27,681,877 comments and 14,318,495 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 26,098 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2013-06 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 26,098 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

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· graph.json

The full graph has 27,681,877 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

27.7M
Nodes
14.3M
Edges
2.00e-08
Density
13.4M
Components
0.00925
Assortativity
0.0%
Reciprocity
14.3M
Bridges
Most central nodes
caso6bx2e-05
caruddt2e-05
caeucex1e-05
cai3hmh1e-05
cahffff1e-05
camdlmq1e-05
caqbfua1e-05
cac5kjb1e-05
cabokcb1e-05
caltdn01e-05
Content metrics

27,681,877 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 6.104 ± 47.01
min -1.1Kmax 14.6K
controversiality0.0% true
true 0.0%false 100.0%
gildedavg 0.00 / 9
0std 0.019
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgamegotneedprettythingbetteruseactuallysureworkdoesnlotthingsdidnlovenewprobablylookdaygreatsaidfeelyearsbestshitlittlelifefindtryyeahbadmanthanksguyisnmaybepointlongplay
Topic clusters

Topic 0

look
face
nice
good
like
wear
pretty
love

Topic 1

fuck
joke
funny
laugh
fucking
shit
troll
comment

Topic 2

people
government
god
woman
religion
thing
think
world

Topic 3

friend
feel
like
relationship
know
people
want
time

Topic 4

eat
beer
drink
food
smoke
taste
calorie
day

Topic 5

tip
pay
money
bank
buy
job
sell
college

Topic 6

team
game
player
play
league
think
win
year

Topic 7

sound
song
album
music
like
noise
hear
listen

Topic 8

watch
movie
video
episode
netflix
season
youtube
film

Topic 9

car
bike
drive
ship
engine
like
parking
lot

Topic 10

post
link
upvote
reddit
repost
internet
karma
find

Topic 11

damage
level
play
lane
player
talent
game
item
Show all 20 topics

Topic 12

time
day
safe
year
month
lucky
work
start

Topic 13

thank
appreciate
awesome
man
advice
sir
lot
wow

Topic 14

think
idea
sense
math
believe
thought
mind
logic

Topic 15

cpu
card
gpu
monitor
amd
newegg
run
power

Topic 16

dae
que
att
lol
del
freddie
con
jag

Topic 17

game
play
halo
server
fun
good
mutation
time

Topic 18

dog
cat
breed
baby
pit
bite
grass
pitbull

Topic 19

right
yes
yeah
relevant
okay
true
definitely
exactly
Top hashtags
#152
#973331
#t31
#auto29
#228
#323228
#973419
#316
#3610
#49
#08
#36478
#57
#916
#936
#colortext6
#s6
#fontname5
#ratings5
#74
Top emoji
😈23
😄1
😊1

Sampled: text metrics from 50K of 26.6M 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-2013-06
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
27,681,877
Nodes
27,681,877
Edges
14,318,495
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-06 (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 — 2013-06 [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 — 2013-06. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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