Pushshift Reddit — 2012-05

A Reddit (Pushshift archive, 2012-05) dataset of 16,781,749 comments and 8,218,961 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 16,175 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 16,175 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

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· graph.json

The full graph has 16,781,749 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

16.8M
Nodes
8.2M
Edges
3.00e-08
Density
8.6M
Components
0.00992
Assortativity
0.0%
Reciprocity
8.2M
Bridges
Most central nodes
c4imcva4e-05
c4qtnwo3e-05
c4o4ptq3e-05
c4jqo2d2e-05
c4jmi8i2e-05
c4jwyt82e-05
c4iyjqi2e-05
c4pllqs2e-05
c4nv3v12e-05
c4in3fk2e-05
Content metrics

16,781,749 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.235 ± 34.88
min -750max 14.1K
controversiality0.1% true
true 0.1%false 99.9%
gildedμ 0 ± 0.001
min 0max 2
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgameprettygotactuallysureusethingthingsbetterneeddoesnworkdidnlotlooklovegreatsaidfeelprobablyfindnewpointdaylittlebadyearsbestisnyeahtrymanlifepostmaybeshitthoughtguythanks
Topic clusters

Topic 0

game
play
player
time
level
like
good
skill

Topic 1

upvote
post
reddit
downvote
karma
link
sorry
subreddit

Topic 2

look
like
hair
cute
wear
dog
face
girl

Topic 3

eat
smoke
drink
food
fat
weight
like
weed

Topic 4

team
game
play
season
player
fan
year
think

Topic 5

money
paul
pay
government
ron
people
tax
debt

Topic 6

relationship
feel
parent
mom
kid
like
girl
tell

Topic 7

god
people
religious
religion
man
bible
jesus
atheist

Topic 8

school
year
college
class
work
degree
job
teacher

Topic 9

music
song
album
guitar
listen
good
sound
amp

Topic 10

movie
watch
episode
video
film
season
series
great

Topic 11

thank
appreciate
sir
welcome
awesome
help
congrat
hello
Show all 21 topics

Topic 12

think
english
question
idea
language
ask
learn
believe

Topic 13

monitor
computer
game
card
windows
run
setting
fps

Topic 14

live
buy
park
walk
day
place
city
road

Topic 15

fuck
creepy
fucking
cunt
bastard
bitch
awkward
terrible

Topic 16

funny
laugh
joke
hilarious
think
chuckle
hard
comedy

Topic 17

wait
party
time
start
second
hour
day
tomorrow

Topic 18

yes
right
yeah
true
probably
yep
damn
woah

Topic 19

paint
eye
printer
brown
color
knife
painting
wall

Topic 20

remind
guess
happen
explain
talk
remember
month
chat
Top hashtags
#3232236
#auto98
#142
#9134
#9334
#t26
#222
#09
#endregion6
#region6
#35
#comments5
#hl5
#slide5
#174
#84
#v4
#43
#132
#392
Top emoji
👊1
👍1
😱1
😸1

Sampled: text metrics from 50K of 16.2M 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-2012-05
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
16,781,749
Nodes
16,781,749
Edges
8,218,961
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-05 (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, 1.8 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 — 2012-05 [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 — 2012-05. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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