Pushshift Reddit — 2012-10

A Reddit (Pushshift archive, 2012-10) dataset of 20,617,664 comments and 10,188,514 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 20,835 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 20,835 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

#Comment tree#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 20,617,664 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

20.6M
Nodes
10.2M
Edges
2.00e-08
Density
10.4M
Components
0.00262
Assortativity
0.0%
Reciprocity
10.2M
Bridges
Most central nodes
c6iylkn6e-05
c6pcz093e-05
c6rr4yv3e-05
c6rl9ik3e-05
c6syykr2e-05
c6g1d1k2e-05
c6omy292e-05
c6p89v51e-05
c6iuhlp1e-05
c6jsjyp1e-05
Content metrics

20,617,664 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.508 ± 38.81
min -2.7Kmax 6.2K
controversiality0.1% true
true 0.1%false 99.9%
gilded0.0% true
true 0.0%false 100.0%
6.2
Flesch–Kincaid grade
US school grade level
6.6
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwaywatgoingrightgotgamethingprettybetterneedsureactuallydidnloveuselotlookthingsdoesnworkgreatfeelsaiddayprobablybestlittlefindnewtryguybadthoughtyearsthanksshitpointmanisnpostyeahlong
Topic clusters

Topic 0

look
like
wear
dog
good
shave
love
guy

Topic 1

game
play
level
like
good
damage
player
kill

Topic 2

team
game
win
play
week
fan
player
good

Topic 3

eat
beer
water
drink
taste
food
corn
pumpkin

Topic 4

reddit
upvote
post
downvote
subreddit
link
comment
karma

Topic 5

thank
think
answer
question
idea
loop
lie
verb

Topic 6

movie
episode
book
watch
doctor
read
series
good

Topic 7

buy
bar
pay
money
sell
time
bank
hear

Topic 8

religion
god
people
church
muslim
know
think
muslims

Topic 9

car
bike
ride
like
driver
drive
truck
rim

Topic 10

run
power
use
card
cpu
computer
build
drive

Topic 11

relationship
girl
sex
woman
guy
date
feel
want
Show all 17 topics

Topic 12

song
band
sound
album
music
guitar
amp
play

Topic 13

joke
laugh
funny
hilarious
faggot
humor
comic
comedy

Topic 14

bear
break
shit
meth
ankle
bathroom
knee
walk

Topic 15

obama
vote
people
country
empire
election
war
government

Topic 16

school
student
college
year
work
job
class
teacher
Top hashtags
#auto223
#323266
#152
#9131
#9331
#bob25
#t25
#223
#s16
#315
#412
#512
#68
#06
#include5
#334
#scumbagsteve4
#history3
#yolo3
#1262
Top emoji
😂6
🔼3

Sampled: text metrics from 50K of 19.9M 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-2012-10
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
20,617,664
Nodes
20,617,664
Edges
10,188,514
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-10 (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, 2.2 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 — 2012-10 [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 — 2012-10. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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