Pushshift Reddit — 2010-01

A Reddit (Pushshift archive, 2010-01) dataset of 2,208,240 comments and 1,021,401 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,111 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,111 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 1,322,239 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.3M
Nodes
1M
Edges
5.84e-07
Density
300.8K
Components
0.0%
Reciprocity
1M
Bridges
Most central nodes
c0i6kuh7e-05
c0jnzcg6e-05
c0i3mbg6e-05
c0j2yy36e-05
c0iamde5e-05
c0i7z1k4e-05
c0itspk4e-05
c0jfk5p4e-05
c0i4z5d4e-05
c0ij1bl4e-05
Content metrics

2,208,240 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.27 ± 20.48
min -2.2Kmax 6.2K
6.8
Flesch–Kincaid grade
US school grade level
7.2
Automated readability index
Frequent terms
likepeopledonthinktimeknowgoodwaynewyearwantrightgoingyearsgotusethingthingsbetteractuallyworkneeddidndoesnlifefindpointprettylotsuresaidgreatprobablydayredditlovelookreadbesttryworldbadyesgamefeellittlemaybemoneyisnthought
Topic clusters

Topic 0

movie
episode
film
watch
funny
think
laugh
joke

Topic 1

eat
drink
beer
food
bacon
diet
cook
good

Topic 2

year
new
happy
decade
years
eve
start
century

Topic 3

karma
reddit
downvote
comment
upvote
post
upvoted
ban

Topic 4

think
yes
point
universe
mean
question
grammar
sphere

Topic 5

woman
friend
porn
girl
relationship
feel
man
like

Topic 6

government
people
obama
country
right
american
bush
america

Topic 7

money
credit
pay
bank
buy
price
card
dollar

Topic 8

car
bike
speed
road
earth
space
parking
shoot

Topic 9

game
play
steam
buy
drm
good
fallout
like

Topic 10

god
religion
jesus
bible
christ
paul
atheist
think

Topic 11

shave
razor
wear
hair
look
pant
shaving
face
Show all 21 topics

Topic 12

mac
computer
apple
windows
run
drive
file
laptop

Topic 13

music
sound
song
album
band
listen
hear
good

Topic 14

cop
terrorist
plane
police
security
gun
people
tsa

Topic 15

python
language
function
programming
string
sequence
use
evaluate

Topic 16

smoke
headache
doctor
drug
caffeine
weed
marijuana
smoking

Topic 17

thank
video
email
send
nice
youtube
appreciate
sweet

Topic 18

phone
vibrate
ring
ringtone
cell
ringer
text
silent

Topic 19

awesome
good
cool
beautiful
amazing
cute
look
nice

Topic 20

read
book
edit
think
fiction
novel
good
write
Top hashtags
#140
#t31
#221
#define16
#38
#57
#v7
#p6
#6600005
#43
#63
#73
#93
#comments3
#10002
#372
#comment2
#death2
#environmental_concerns2
#i2

Sampled: text metrics from 50K of 2.1M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-01
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
2,208,240
Nodes
1,322,239
Edges
1,021,401
Nodes are
user
Edges are
reply
Attributes
nodes have attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-01 (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, 251.5 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 — 2010-01 [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 — 2010-01. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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