Pushshift Reddit — 2013-12

A Reddit (Pushshift archive, 2013-12) dataset of 34,377,890 comments and 18,206,325 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 30,873 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2013-12 — full comment text, reply graph, and engagement metrics across 30,873 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 34,377,890 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

34.4M
Nodes
18.2M
Edges
2.00e-08
Density
16.2M
Components
0.00094
Assortativity
0.0%
Reciprocity
18.2M
Bridges
Most central nodes
cdrfcjs3e-05
cdz9lyf3e-05
ce6c9sk3e-05
ceazu333e-05
ce3h1mv2e-05
cdqv98q2e-05
ceb7czt1e-05
ce61ksc1e-05
ce1wuw31e-05
cedmyba1e-05
Content metrics

34,377,890 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.731 ± 46.79
min -1.3Kmax 6K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.022
min 0max 13
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimegamewantwaygotgoingrightsureneeddidnthingprettybetteruselotthingsthanksdoesnactuallyshitloveplayworksaidgreatbestpostlookyearsfeelyearnewtrydayprobablybadisnfindyeslittleyeahmanlifepoint
Topic clusters

Topic 0

look
car
like
color
hair
wear
think
good

Topic 1

friend
school
feel
like
year
know
think
thing

Topic 2

egg
shiny
hatch
pokemon
add
timid
male
breed

Topic 3

play
game
player
team
damage
skill
lane
kill

Topic 4

eat
food
weight
drink
meat
drug
fat
animal

Topic 5

drive
card
cpu
game
xbox
run
version
motherboard

Topic 6

price
bitcoin
trade
buy
pay
money
btc
sell

Topic 7

auburn
alabama
bama
state
win
game
penn
bowl

Topic 8

sound
song
music
album
amp
like
hear
guitar

Topic 9

thank
add
awesome
man
appreciate
advice
okay
share

Topic 10

team
play
player
season
league
good
draft
win

Topic 11

good
love
happy
smile
nice
glad
hug
christmas
Show all 20 topics

Topic 12

post
link
comment
thread
reddit
week
repost
remove

Topic 13

fuck
shit
idiot
fucking
suck
nigga
bitch
bad

Topic 14

feminist
woman
man
people
feminism
racist
white
black

Topic 15

game
play
fun
great
amazing
wanna
easy
like

Topic 16

downvote
upvote
english
karma
wrong
comment
grammar
post

Topic 17

joke
funny
laugh
hilarious
ironic
fail
lol
think

Topic 18

religion
god
church
believe
christian
atheist
bible
belief

Topic 19

video
gif
youtube
click
watch
stream
link
vid
Top hashtags
#168
#240
#323224
#417
#t17
#313
#973313
#86512
#859410
#58
#157
#97347
#06
#66
#6626
#8606
#s6
#305
#365
#36475
Top emoji
💜2
😉1

Sampled: text metrics from 50K of 32.7M 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-2013-12
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
34,377,890
Nodes
34,377,890
Edges
18,206,325
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2013-12 (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, 3.5 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 — 2013-12 [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 — 2013-12. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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