Pushshift Reddit — 2011-12

A Reddit (Pushshift archive, 2011-12) dataset of 11,693,903 comments and 5,522,479 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 11,730 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-12 — full comment text, reply graph, and engagement metrics across 11,730 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 11,693,903 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

11.7M
Nodes
5.5M
Edges
4.00e-08
Density
6.2M
Components
0.01358
Assortativity
0.0%
Reciprocity
5.5M
Bridges
Most central nodes
c3a773u4e-05
c34yyvt3e-05
c36pk182e-05
c37vfp12e-05
c3akdbg2e-05
c39jik72e-05
c34z6iy2e-05
c34yerq2e-05
c34ob2a2e-05
c3bfzu12e-05
Content metrics

11,693,903 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.883 ± 29.97
min -1.1Kmax 6.3K
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
likedonpeoplethinkknowtimegoodwaywantgoingrightactuallyneedthinggotthingssurepenisprettydoesnworkusebettergamelotdidnsaidlovelookfindprobablygreatdaybestpointnewbadfeelyearslittleisntrythanksshitguymanlifeyesreadlong
Topic clusters

Topic 0

reddit
post
upvote
comment
karma
fuck
joke
downvote

Topic 1

eat
smoke
water
drink
beer
horse
food
like

Topic 2

song
music
sound
video
like
album
listen
good

Topic 3

think
yes
idea
agree
question
word
ask
know

Topic 4

god
religion
church
atheist
catholic
people
christian
believe

Topic 5

look
wear
like
hair
sexy
cute
beard
girl

Topic 6

government
people
state
country
money
pay
paul
right

Topic 7

school
class
college
work
job
money
course
year

Topic 8

damage
jungle
level
play
game
lane
kill
time

Topic 9

friend
gay
think
feel
guy
like
girl
people

Topic 10

team
game
play
season
fan
player
football
good

Topic 11

movie
episode
watch
film
character
read
story
book
Show all 15 topics

Topic 12

laptop
cpu
use
computer
phone
nexus
device
download

Topic 13

thank
advice
awesome
help
appreciate
feedback
check
lol

Topic 14

game
skyrim
play
quest
like
good
great
think
Top hashtags
#3232296
#9166
#9366
#t44
#141
#232
#317
#auto11
#359
#48
#include8
#05
#p5
#334
#74
#153
#cast3
#comic3
#personal_life3
#section3
Top emoji
𝕠13
𝕥13
𝕖11
𝕣9
𝕒8
𝕚8
𝕟8
𝕤8
𝕞5
𝕪5
𝕗4
𝕙4
𝕦4
𝕔3
𝕝3

Sampled: text metrics from 50K of 11.3M 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-2011-12
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
11,693,903
Nodes
11,693,903
Edges
5,522,479
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2011-12 (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, 1.2 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 — 2011-12 [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 — 2011-12. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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