Pushshift Reddit — 2012-01

A Reddit (Pushshift archive, 2012-01) dataset of 13,280,664 comments and 6,321,745 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 13,607 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 13,607 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 13,280,664 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

13.3M
Nodes
6.3M
Edges
4.00e-08
Density
7M
Components
0.02125
Assortativity
0.0%
Reciprocity
6.3M
Bridges
Most central nodes
c3lru2g2e-05
c3k0k7i2e-05
c3dz9572e-05
c3gzf952e-05
c3jy7s32e-05
c3g4ot32e-05
c3h4c1r1e-05
c3d91jl1e-05
c3ergge1e-05
c3cyivn1e-05
Content metrics

13,280,664 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.966 ± 30.65
min -461max 3.9K
controversiality0.1% true
true 0.1%false 100.0%
gildedμ 0 ± 0.001
min 0max 2
6.2
Flesch–Kincaid grade
US school grade level
6.6
Automated readability index
Frequent terms
likedonpeoplethinkgoodtimeknowwantnewwaygotgoingyearrightgamebetterusethingyearsprettyactuallythingssureneedworkdoesndidnlooklotsaidlovegreatfindbestthanksfeeldayprobablytrybadshitlittlemanguypointfucklifeisnyesreddit
Topic clusters

Topic 0

obama
bill
vote
president
paul
people
law
citizen

Topic 1

look
wear
dress
shirt
like
man
clothe
sexy

Topic 2

game
play
level
player
kill
like
good
damage

Topic 3

god
people
religion
atheist
believe
think
faith
downvote

Topic 4

fuck
hate
fucking
shit
bad
sound
like
voice

Topic 5

card
computer
use
phone
drive
amd
app
need

Topic 6

weight
calorie
know
want
year
time
daughter
feel

Topic 7

upvote
joke
laugh
funny
karma
hilarious
comment
post

Topic 8

bacon
eat
sauce
butter
peanut
flavor
cook
chicken

Topic 9

money
bank
pay
loan
college
dollar
school
price

Topic 10

movie
watch
episode
cartoon
film
series
season
great

Topic 11

think
know
question
ask
point
tell
ama
curious
Show all 25 topics

Topic 12

thank
glad
advice
appreciate
know
offer
service
answer

Topic 13

new
year
happy
years
eve
birthday
christmas
forever

Topic 14

team
play
player
league
game
football
win
good

Topic 15

song
music
sound
listen
hear
album
guitar
band

Topic 16

car
bike
drive
road
ride
canada
brother
buy

Topic 17

time
happen
wait
hour
day
try
australian
australia

Topic 18

post
comment
read
reddit
link
thread
book
site

Topic 19

coal
offer
craft
want
trade
portal
game
sorry

Topic 20

steam
valve
coupon
coal
game
trade
complete
gift

Topic 21

drink
beer
bottle
drunk
alcohol
scotch
good
vodka

Topic 22

camera
edit
photoshop
photo
picture
image
zoom
figure

Topic 23

hold
wallpaper
volt
finger
voltage
window
led
wall

Topic 24

fire
que
firework
fight
break
brock
wrestling
los
Top hashtags
#3232336
#136
#t32
#9130
#9330
#214
#75314
#310
#98
#355
#4405
#auto5
#couragewolf5
#334
#44
#carlton4
#magnets4
#03
#53
#clarinetkid3
Top emoji
𝕋2
𝔼1
𝕊1

Sampled: text metrics from 50K of 12.8M 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-2012-01
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
13,280,664
Nodes
13,280,664
Edges
6,321,745
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-01 (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, 1.4 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 — 2012-01 [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 — 2012-01. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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