Pushshift Reddit — 2013-04

A Reddit (Pushshift archive, 2013-04) dataset of 27,977,275 comments and 14,226,377 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 25,963 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2013-04 — full comment text, reply graph, and engagement metrics across 25,963 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#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 27,977,275 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

28M
Nodes
14.2M
Edges
2.00e-08
Density
13.8M
Components
0.00631
Assortativity
0.0%
Reciprocity
14.2M
Bridges
Most central nodes
c985imw3e-05
c9i8j3q2e-05
c9bqyyp1e-05
c9d00my1e-05
c9b7jqt1e-05
c9i2uor1e-05
c9je32z1e-05
c9ak8n11e-05
c9ew3ef1e-05
c9fm4et1e-05
Content metrics

27,977,275 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 6.188 ± 46.05
min -3Kmax 6.2K
controversiality1.9% true
true 1.9%false 98.1%
gildedμ 0 ± 0.016
min 0max 22
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwaygoingrightgamegotprettyactuallythingsureworkdoesnneedbetterthingslotuselooklovedidngreatsaidnewfeelprobablyshityearsdayisnfindbestthanksbadtrymanpointrawlittleyearpostlifeyeahplay
Topic clusters

Topic 0

people
fuck
like
woman
feel
thing
bad
know

Topic 1

religion
church
god
people
marriage
believe
think
religious

Topic 2

school
pay
job
year
time
work
money
student

Topic 3

team
player
season
play
win
game
year
fan

Topic 4

reddit
post
upvote
downvote
sorry
comment
link
subreddit

Topic 5

look
hair
like
wear
cute
eye
love
face

Topic 6

eat
food
calorie
rice
drink
taste
good
meat

Topic 7

thank
awesome
nice
glad
great
cool
happy
welcome

Topic 8

song
video
music
sound
guitar
like
hear
play

Topic 9

game
play
player
fun
multiplayer
like
time
bioshock

Topic 10

car
bike
tire
drive
truck
hand
safe
engine

Topic 11

cpu
performance
laptop
card
drive
file
newegg
ram
Show all 16 topics

Topic 12

deck
weapon
run
use
damage
armor
build
sword

Topic 13

joke
funny
laugh
hilarious
humor
embellishment
sarcastic
think

Topic 14

clg
play
ult
game
team
lux
hotshot
support

Topic 15

episode
spoiler
character
season
jon
end
thrones
story
Top hashtags
#139
#auto31
#973327
#323226
#t16
#215
#973413
#define9
#38
#398
#46
#56
#7536
#05
#364
#36474
#914
#934
#b4
#gid4
Top emoji
💜1
😃1
😱1

Sampled: text metrics from 50K of 26.9M 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-2013-04
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
27,977,275
Nodes
27,977,275
Edges
14,226,377
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-04 (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, 2.9 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 — 2013-04 [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 — 2013-04. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →