Pushshift Reddit — 2010-08

A Reddit (Pushshift archive, 2010-08) dataset of 2,026,913 comments and 1,572,956 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,375 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-08 — full comment text, reply graph, and engagement metrics across 3,375 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,026,913 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2M
Nodes
1.6M
Edges
3.83e-07
Density
454K
Components
0
Assortativity
0.0%
Reciprocity
1.6M
Bridges
Most central nodes
c0vsaet0.00013
c0vv1nl4e-05
c0y0g854e-05
c0x3wzz4e-05
c0x3jx04e-05
c0wzx6g3e-05
c0x53yf3e-05
c0xclcq3e-05
c0xrpf93e-05
c0wwd423e-05
Content metrics

3,323,810 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.113 ± 19.51
min -614max 2.6K
gilded0.0% true
true 0.0%false 100.0%
6.7
Flesch–Kincaid grade
US school grade level
7.1
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwaywantrightgoingthinggotthingsuseneedworkactuallyprettyyearsdidnbetterdoesnlotsurefindlifebestlookdaysaidguypointtryshitprobablyfeellittlegreatworldnewlovelongisnoldthoughtmanbadgameyes
Topic clusters

Topic 0

vote
people
generation
government
war
state
party
old

Topic 1

think
wait
time
know
month
try
year
day

Topic 2

game
play
player
win
good
team
build
like

Topic 3

post
reddit
comment
upvote
downvote
link
troll
click

Topic 4

eat
weight
food
beer
cheese
add
good
taste

Topic 5

ram
windows
computer
apple
use
phone
laptop
drive

Topic 6

movie
watch
episode
film
scene
funny
laugh
joke

Topic 7

fuck
hate
orgasm
fucking
shit
idiot
sex
anal

Topic 8

wear
hat
look
hair
fedora
fashion
hipster
shirt

Topic 9

god
atheist
religion
christian
religious
people
believe
church

Topic 10

pool
water
temperature
chlorine
shower
heat
cold
body

Topic 11

dog
cat
animal
chicken
pet
vet
human
kill
Show all 23 topics

Topic 12

relationship
girl
feel
want
life
know
like
time

Topic 13

song
music
album
sound
band
guitar
play
listen

Topic 14

car
drive
traffic
driver
road
speed
lane
bike

Topic 15

friend
feel
dead
penny
kid
die
mom
father

Topic 16

dream
seizure
run
sleep
wake
like
remember
try

Topic 17

pay
money
account
fee
bank
company
work
business

Topic 18

school
college
degree
teacher
job
year
work
teach

Topic 19

video
image
camera
color
picture
youtube
watch
format

Topic 20

yes
agree
right
yeah
correct
exactly
true
obligatory

Topic 21

awesome
cool
good
nice
happy
excited
great
wow

Topic 22

thank
advice
gift
nice
awesome
great
post
thankful
Top hashtags
#orangered263
#t64
#133
#228
#gay26
#311
#49
#57
#p7
#hl4
#comic3
#div3
#ffff003
#include3
#quicklist3
#responding_to_a_seizure3
#software3
#0062
#0602
#118292

Sampled: text metrics from 50K of 3.2M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-08
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
3,323,810
Nodes
2,026,913
Edges
1,572,956
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-08 (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, 370.1 MB 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 — 2010-08 [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 — 2010-08. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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