Pushshift Reddit — 2014-08

A Reddit (Pushshift archive, 2014-08) dataset of 41,482,334 comments and 23,151,927 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 39,981 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2014-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 39,981 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

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 41,482,334 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

41.5M
Nodes
23.2M
Edges
1.00e-08
Density
18.3M
Components
-0.00036
Assortativity
0.0%
Reciprocity
23.2M
Bridges
Most central nodes
cjgi2nh0.00029
cjggi1k0.00019
cjfm55y0.00018
cjflfde0.00016
cjsmo1c0.00015
cjfnne70.00011
cjfn3te8e-05
cjsm5s67e-05
cjgg44w7e-05
cjr8i6s5e-05
Content metrics

41,482,334 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.565 ± 47
min -1.7Kmax 7.9K
controversiality1.5% true
true 1.5%false 98.5%
gildedμ 0 ± 0.023
min 0max 22
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwantwaygoinggamegotrightneedusebettersureprettyworkactuallythinglotdidndoesnthanksnewlovethingsgreatsaidlookprobablypostfeelbestfinddayyearstryisnbadpointplayyeahshitmanmaybelittlegettinglong
Topic clusters

Topic 0

team
player
season
year
trade
good
think
fan

Topic 1

look
like
paint
hair
color
good
picture
skin

Topic 2

drink
beer
eat
taste
smoke
good
wine
coke

Topic 3

pay
work
job
trade
want
people
school
buy

Topic 4

god
people
religion
believe
fuck
government
think
belief

Topic 5

play
damage
game
deck
player
kill
like
attack

Topic 6

movie
episode
watch
character
film
video
story
book

Topic 7

car
drive
bike
engine
turn
lane
road
speed

Topic 8

phone
cpu
gpu
update
run
card
motherboard
fix

Topic 9

song
music
sound
band
album
hear
listen
like

Topic 10

man
woman
feel
like
think
people
parent
know

Topic 11

thank
good
great
appreciate
glad
congratulation
nice
sure
Show all 20 topics

Topic 12

game
play
like
player
fun
clan
xbox
beta

Topic 13

israel
hamas
civilian
gaza
war
israeli
terrorist
military

Topic 14

post
automatically
link
remove
question
moderator
comment
automoderator

Topic 15

time
week
try
sleep
work
year
weekend
place

Topic 16

think
sense
idea
happen
mind
interesting
confuse
know

Topic 17

fetish
sex
penis
hot
kiss
pussy
like
orgasm

Topic 18

pokemon
hatch
shiny
egg
ign
trade
female
tsv

Topic 19

joke
funny
laugh
hilarious
think
crazy
laughter
holy
Top hashtags
#009144
#150
#or34
#sfw34
#229
#wiki_25
#522
#t22
#317
#s9
#32328
#48
#x278
#87
#06
#97336
#b6
#gid6
#wiki_24_hour_limit6
#64
Top emoji
😉3
😜3
👍2
💦2
😊2
😘2
👱1
💃1
😁1
😂1
😃1
😋1
😍1
😔1
😬1

Sampled: text metrics from 50K of 39.7M 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-2014-08
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
41,482,334
Nodes
41,482,334
Edges
23,151,927
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2014-08 (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, 4.4 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 — 2014-08 [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 — 2014-08. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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