Pushshift Reddit — 2013-11

A Reddit (Pushshift archive, 2013-11) dataset of 32,238,071 comments and 16,933,520 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 29,776 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2013-11 — full comment text, reply graph, and engagement metrics across 29,776 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Controversiality#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 32,238,071 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

32.2M
Nodes
16.9M
Edges
2.00e-08
Density
15.3M
Components
0.00685
Assortativity
0.0%
Reciprocity
16.9M
Bridges
Most central nodes
cdah4af2e-05
cdfnpb72e-05
cdkedu91e-05
cdczh511e-05
cdnycte1e-05
cd8007u1e-05
cdmkiky1e-05
cdj5e8g1e-05
cdikoux1e-05
cdfmx8l1e-05
Content metrics

32,238,071 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.712 ± 46.68
min -2.5Kmax 13.4K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.025
min 0max 49
6.3
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwantwaygoinggamegotrightneedprettyworksurethingactuallybetterusedidnlotdoesnthingslovethankslooknewsaidfeelyearsgreatprobablyyearbadbestmaybeyeahtrypointplaylittlefindshitisndaygettingmanthought
Topic clusters

Topic 0

lynch
people
post
comment
god
reddit
think
like

Topic 1

government
pay
money
people
debt
country
state
work

Topic 2

feel
girl
like
fuck
friend
think
sex
know

Topic 3

team
season
game
play
player
year
nfl
league

Topic 4

look
dog
cat
like
wear
squirrel
cute
shoe

Topic 5

eat
taste
food
weight
like
water
drink
cook

Topic 6

game
play
damage
lane
kill
player
like
good

Topic 7

song
music
sound
album
hear
band
listen
like

Topic 8

love
yes
good
yeah
awesome
nice
guy
cool

Topic 9

add
shiny
pokemon
trade
safari
adamant
flair
ign

Topic 10

halloween
costume
candy
trick
kid
treat
pumpkin
mask

Topic 11

thank
add
appreciate
man
alright
cool
awesome
share
Show all 18 topics

Topic 12

offender
sex
crime
law
rape
criminal
drug
child

Topic 13

console
game
cpu
card
xbox
play
gpu
hardware

Topic 14

car
door
drive
truck
vehicle
road
bike
wheel

Topic 15

hour
time
week
late
wait
day
change
home

Topic 16

episode
season
spoiler
character
blake
weiss
watch
anime

Topic 17

think
mind
believe
mean
know
people
brain
like
Top hashtags
#973340
#139
#973420
#219
#t15
#314
#323212
#09
#398
#ratings6
#comment_6189684
#explanation4
#43
#73
#gaben3
#s3
#spoiler3
#swag3
#102
#101300107402
Top emoji
👀1
💥1
💫1
🔥1
😄1
😍1

Sampled: text metrics from 50K of 30.6M 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-2013-11
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
32,238,071
Nodes
32,238,071
Edges
16,933,520
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-11 (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, 3.3 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 — 2013-11 [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 — 2013-11. 2020, doi.org/10.1609/icwsm.v14i1.7347.

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