Pushshift Reddit — 2010-07

A Reddit (Pushshift archive, 2010-07) dataset of 3,135,989 comments and 1,470,882 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,396 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,396 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 1,898,667 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.9M
Nodes
1.5M
Edges
4.08e-07
Density
427.8K
Components
0
Assortativity
0.0%
Reciprocity
1.5M
Bridges
Most central nodes
c0uyhvv9e-05
c0uyk0l7e-05
c0tm6ce6e-05
c0uyfbt6e-05
c0v7c8r5e-05
c0uqsd35e-05
c0uyd6o5e-05
c0vbq2e5e-05
c0uyg3j4e-05
c0twpqx4e-05
Content metrics

3,135,989 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 3.978 ± 18.91
min -640max 5.1K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.002
min 0max 2
6.7
Flesch–Kincaid grade
US school grade level
7.2
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantrightgoingactuallyworkgotusethingdoesnneedthingssurebetterprettydidnlotpointsaidfindyearsgreatnewprobablygamelookdayguylovelifemoneybadreadbestmanyesisnshittryredditlittlemakesthought
Topic clusters

Topic 0

game
play
like
phone
reddit
time
think
post

Topic 1

government
people
police
right
war
gun
vote
constitution

Topic 2

god
belief
think
class
science
woman
christian
atheist

Topic 3

movie
watch
video
episode
bad
character
camera
film

Topic 4

song
music
album
band
hear
play
listen
guitar

Topic 5

look
awesome
like
guy
good
cool
neck
pretty

Topic 6

price
money
hoa
buy
shipping
market
company
payment

Topic 7

cheese
eat
cheeseburger
food
burger
fry
mcdonalds
mcdouble

Topic 8

fuck
troll
stupid
people
bad
argument
point
ignorant

Topic 9

smoke
drug
weed
marijuana
alcohol
people
pot
smoking

Topic 10

accent
pronounce
speak
english
american
sound
hear
california

Topic 11

car
bike
drive
road
time
ride
driver
weight
Show all 16 topics

Topic 12

edit
marriage
woman
child
add
relationship
think
parent

Topic 13

thank
question
answer
ask
appreciate
ama
welcome
look

Topic 14

beer
drink
taste
gallon
dog
bottle
light
brewery

Topic 15

tip
delivery
restaurant
food
service
pay
wage
tipping
Top hashtags
#140
#t39
#217
#38
#p7
#v6
#44
#6004
#143
#373
#413
#i3
#philosoraptor3
#trollface3
#02
#01062
#112
#2032825932
#342
#52

Sampled: text metrics from 50K of 3M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-07
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
3,135,989
Nodes
1,898,667
Edges
1,470,882
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-07 (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, 351.7 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 — 2010-07 [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 — 2010-07. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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