Pushshift Reddit — 2015-02

A Reddit (Pushshift archive, 2015-02) dataset of 45,512,688 comments and 26,788,695 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 45,451 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-02 — full comment text, reply graph, and engagement metrics across 45,451 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

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

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 45,512,688 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

45.5M
Nodes
26.8M
Edges
1.00e-08
Density
18.7M
Components
0.00924
Assortativity
0.0%
Reciprocity
26.8M
Bridges
Most central nodes
coiq3kr3e-05
coqgdv71e-05
co8rjjm1e-05
co8smxt1e-05
cowc3qk1e-05
coqd6ag1e-05
coo36j51e-05
coawq7e1e-05
cobc7l81e-05
cobbt1n1e-05
Content metrics

45,512,688 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.614 ± 48.13
min -945max 9.3K
gildedμ 0 ± 0.023
min 0max 42
6.5
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkgoodknowtimewantgamewaygoingrightgotneedprettyusesurelotthingdoesnbetterdidnactuallynewworkthingsgreatthankslovesaidlookprobablyfeelbadpostyeahisnbesttrydayshitplaypointyearsgettingfindmaybelittleyearlife
Topic clusters

Topic 0

team
player
game
play
fan
season
win
good

Topic 1

pay
money
school
buy
price
trade
student
sorry

Topic 2

thank
giveaway
welcome
birthday
guess
appreciate
try
good

Topic 3

look
like
beautiful
smile
hair
color
picture
cute

Topic 4

isis
war
state
kill
people
country
police
death

Topic 5

character
watch
episode
movie
series
story
anime
season

Topic 6

beer
taste
coffee
drink
cook
eat
pizza
good

Topic 7

cpu
motherboard
ram
gpu
card
core
intel
desktop

Topic 8

post
question
comment
moderator
remove
automatically
automoderator
concern

Topic 9

feel
like
time
life
think
know
tell
want

Topic 10

car
diesel
engine
hand
water
clean
knife
truck

Topic 11

hey
yes
good
yeah
amazing
cool
nice
right
Show all 27 topics

Topic 12

fuck
shit
fucking
bitch
maya
asshole
sam
idiot

Topic 13

song
album
video
music
listen
track
band
sound

Topic 14

dog
breed
pit
bull
pitbull
owner
animal
aggressive

Topic 15

que
und
der
die
das
del
att
para

Topic 16

damage
weapon
class
dps
level
ammo
use
mana

Topic 17

game
play
wiki
new
fun
player
good
love

Topic 18

black
racist
racism
white
speech
people
race
group

Topic 19

ign
deposit
male
pokemon
hatch
egg
shiny
lvl

Topic 20

god
church
believe
religion
christian
evidence
bible
people

Topic 21

year
day
week
month
november
hour
september
february

Topic 22

time
send
email
order
minute
address
online
message

Topic 23

think
idea
sense
hope
thought
jesus
savior
probably

Topic 24

joke
laugh
funny
giggle
chuckle
hilarious
sarcasm
funniest

Topic 25

lane
pick
kalista
team
counter
play
adc
game

Topic 26

eat
calorie
weight
food
body
bmi
diet
day
Top hashtags
#00997
#139
#wiki_27
#t21
#or18
#sfw18
#216
#323216
#973316
#sent13
#311
#gid11
#x2711
#07
#327
#47
#87
#cryptocrawllv5
#64
#97344
Top emoji
😉5
😊5
👍3
💛3
🔥3
🚨3
👏2
😁2
😂2
😎2
😭2
🌠1
🎉1
👅1
👌1

Sampled: text metrics from 50K of 43.6M 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-2015-02
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
45,512,688
Nodes
45,512,688
Edges
26,788,695
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2015-02 (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, 4.6 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 — 2015-02 [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 — 2015-02. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →