Pushshift Reddit — 2012-07

A Reddit (Pushshift archive, 2012-07) dataset of 19,867,939 comments and 9,756,848 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 18,154 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 18,154 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

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 19,867,939 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

19.9M
Nodes
9.8M
Edges
2.00e-08
Density
10.1M
Components
0.01058
Assortativity
0.0%
Reciprocity
9.8M
Bridges
Most central nodes
c583xqm3e-05
c5lj88t2e-05
c58zu1v2e-05
c5j4a912e-05
c5bucaz2e-05
c5f5pr42e-05
c58v2p42e-05
c5ff3y42e-05
c5cpa3m1e-05
c5bv7so1e-05
Content metrics

19,867,939 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.245 ± 35.69
min -1.3Kmax 4.2K
controversiality0.1% true
true 0.1%false 99.9%
gilded0.0% true
true 0.0%false 100.0%
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinktimegoodknowwantwaygotgoingrightneeddidnthingactuallyprettysureusethingsworkbetterlotgamedoesnlookgreatlovedaysaidfeelthoughtnewfindbestbadprobablythankstryyearslittleshitguyisnpointlifeyearmanpostlong
Topic clusters

Topic 0

game
play
level
like
good
time
use
build

Topic 1

people
like
think
know
god
woman
feel
thing

Topic 2

look
dog
like
wolf
good
cat
awesome
hair

Topic 3

movie
watch
scene
video
film
like
episode
novel

Topic 4

government
people
insurance
vote
tax
war
pay
state

Topic 5

team
player
game
play
season
year
like
ball

Topic 6

car
bike
water
tree
smoke
like
bong
look

Topic 7

eat
fat
add
spice
sauce
weight
food
meat
Top hashtags
#auto131
#3232110
#91101
#93101
#145
#t42
#227
#316
#410
#359
#08
#57
#336
#396
#95
#414
#http4
#113
#183
#2333
Top emoji
🐶1
👽1
😃1
😍1
😔1

Sampled: text metrics from 50K of 19.1M 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-2012-07
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
19,867,939
Nodes
19,867,939
Edges
9,756,848
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2012-07 (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, 2.1 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 — 2012-07 [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 — 2012-07. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →