Pushshift Reddit — 2012-03

A Reddit (Pushshift archive, 2012-03) dataset of 14,617,849 comments and 7,010,480 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 15,047 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 15,047 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 14,617,849 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

14.6M
Nodes
7M
Edges
3.00e-08
Density
7.6M
Components
0.02251
Assortativity
0.0%
Reciprocity
7M
Bridges
Most central nodes
c40li1h3e-05
c42jp2w2e-05
c453b6v2e-05
c3wgffy2e-05
c3zle382e-05
c3zgnyj2e-05
c43r4hk2e-05
c442n282e-05
c3ya05f1e-05
c3zh3m31e-05
Content metrics

14,617,849 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.98 ± 30.33
min -3Kmax 4.7K
controversiality0.1% true
true 0.1%false 99.8%
gilded0.0% true
true 0.0%false 100.0%
6.5
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwaywantgoingworkrightgotneedprettythingactuallysurethingsusefindsaiddoesngamebetterblacklotlookdidndaylovefeelgreatprobablyyearsbestpointnewisnguylittleshittryjobbadmanfucklifelongschool
Topic clusters

Topic 0

game
play
damage
good
like
use
player
run

Topic 1

people
god
government
religion
believe
think
atheist
state

Topic 2

comment
post
upvote
reddit
link
downvote
karma
subreddit

Topic 3

eat
taste
chocolate
like
food
cheese
butter
drink

Topic 4

fuck
man
guy
woman
dick
people
penis
like

Topic 5

time
year
buy
pay
dollar
month
money
credit

Topic 6

job
work
school
unemployment
people
teacher
friend
money

Topic 7

dog
cat
love
hair
cute
puppy
look
like

Topic 8

team
fan
season
player
game
year
play
win

Topic 9

watch
episode
season
video
movie
youtube
film
character

Topic 10

thank
appreciate
bless
input
sir
great
response
advice

Topic 11

song
album
music
band
listen
like
sound
metal
Show all 18 topics

Topic 12

awesome
good
cake
great
happy
birthday
cool
wow

Topic 13

bike
car
brake
rear
wheel
ride
road
speed

Topic 14

ambien
smoke
sleep
weed
wake
night
morning
bed

Topic 15

picture
art
look
wall
hand
like
finger
edge

Topic 16

black
white
woman
attractive
girl
people
race
ugly

Topic 17

water
snow
tank
tree
hop
trip
plant
grow
Top hashtags
#3232292
#auto117
#9155
#9355
#t48
#144
#226
#011
#311
#g8
#readme7
#45
#55
#104
#404
#94
#353
#413
#73
#83

Sampled: text metrics from 50K of 14.1M 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-2012-03
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
14,617,849
Nodes
14,617,849
Edges
7,010,480
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-03 (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, 1.6 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 — 2012-03 [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 — 2012-03. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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