Pushshift Reddit — 2012-06

A Reddit (Pushshift archive, 2012-06) dataset of 18,042,753 comments and 8,916,683 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 17,094 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-06 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 17,094 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 18,042,753 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

18M
Nodes
8.9M
Edges
3.00e-08
Density
9.1M
Components
0.00767
Assortativity
0.0%
Reciprocity
8.9M
Bridges
Most central nodes
c4zz50m2e-05
c4wab0g2e-05
c50m6vr2e-05
c52f2vy2e-05
c50v4u12e-05
c530lfx2e-05
c500q8v2e-05
c4zyptm2e-05
c54d7eo2e-05
c4z8sti2e-05
Content metrics

18,042,753 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.224 ± 34.73
min -4.1Kmax 5.9K
controversiality0.1% true
true 0.1%false 99.9%
gildedμ 0 ± 0.002
min 0max 3
6.3
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwantwaygoingrightgotprettygameactuallyworkthingsurebetterneeddoesnuselovelotdidnsaidthingslookgreatbestfeelnewdayfindbadprobablyyearstrypointlittleshitlifethanksmanyeahisnyearlongmaybeguy
Topic clusters

Topic 0

game
play
item
like
level
player
time
good

Topic 1

eat
drug
like
food
weight
drink
smoke
taste

Topic 2

look
dog
like
good
hair
cat
cute
wear

Topic 3

government
people
god
believe
religion
right
think
know

Topic 4

sound
song
album
music
headphone
band
time
listen

Topic 5

car
truck
drive
bike
ride
park
driver
knife

Topic 6

computer
laptop
screen
ram
use
mouse
buy
need

Topic 7

feel
like
know
want
child
friend
life
relationship

Topic 8

upvote
reddit
post
comment
karma
downvote
read
subreddit

Topic 9

fuck
porn
fucking
shit
bad
wtf
stupid
bitch

Topic 10

buy
sell
price
happen
time
fund
card
money

Topic 11

team
trade
game
player
center
world
play
fan
Show all 16 topics

Topic 12

thank
try
appreciate
idea
great
helpful
awesome
haha

Topic 13

school
student
class
year
teacher
high
work
job

Topic 14

movie
watch
episode
film
love
anime
scene
like

Topic 15

funny
laugh
joke
hilarious
comic
think
chuckle
post
Top hashtags
#auto104
#3232102
#138
#t34
#9124
#9324
#218
#hl8
#06
#36
#396
#reddit6
#334
#44
#canvas3
#carlton3
#nice3
#p1203
#yolo3
#122
Top emoji
😄1

Sampled: text metrics from 50K of 17.4M 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-2012-06
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
18,042,753
Nodes
18,042,753
Edges
8,916,683
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-06 (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, 1.9 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 — 2012-06 [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 — 2012-06. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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