Pushshift Reddit — 2015-05

A Reddit (Pushshift archive, 2015-05) dataset of 51,044,924 comments and 30,057,706 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 48,409 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-05 — full comment text, reply graph, and engagement metrics across 48,409 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 51,044,924 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

51M
Nodes
30.1M
Edges
1.00e-08
Density
21M
Components
0.01019
Assortativity
0.0%
Reciprocity
30.1M
Bridges
Most central nodes
cratkqh2e-05
croe14z2e-05
crdq02e2e-05
crh4y2b2e-05
crkjjl81e-05
cr7jn0j1e-05
crifzq71e-05
crlddy31e-05
cqyksjq1e-05
cr7n16k1e-05
Content metrics

51,044,924 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.997 ± 51.63
min -1.7Kmax 6.8K
controversiality2.4% true
true 2.4%false 97.6%
gildedμ 0 ± 0.021
min 0max 27
6.3
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkgoodtimeknowwantgoingwaygotrightgameprettyneedsurebetteractuallylotthingdoesnusedidnnewworklovesaidthingsgreatshitfeelfuckprobablylookyeahthanksbadplaypostdayyearsbestisnpointgettingyearlittleletmaybeman
Topic clusters

Topic 0

draft
team
pick
winston
mariota
bucs
player
play

Topic 1

game
play
damage
like
player
level
good
time

Topic 2

eat
ems
beer
food
drink
taste
weight
like

Topic 3

look
hair
good
beautiful
nice
great
color
cute

Topic 4

car
drive
bike
tire
camera
road
engine
mile

Topic 5

fuck
pant
fucking
blood
shit
toilet
cat
bitch

Topic 6

pay
sell
price
money
buy
credit
card
account

Topic 7

thank
advice
appreciate
help
giveaway
man
try
info

Topic 8

year
time
minute
month
start
wait
hour
try

Topic 9

sound
song
like
album
music
hear
listen
good

Topic 10

woman
people
like
rape
think
man
gender
sex

Topic 11

phone
update
app
fix
internet
mobile
instal
wifi
Show all 19 topics

Topic 12

movie
anime
character
like
spoiler
think
episode
watch

Topic 13

laugh
joke
funny
bad
hilarious
dumb
wrong
stupid

Topic 14

yes
fine
hope
luck
yeah
alright
lucky
exactly

Topic 15

post
automatically
moderator
question
contact
remove
action
perform

Topic 16

vote
party
bernie
candidate
socialist
political
conservative
sanders

Topic 17

black
white
police
people
racist
crime
cop
riot

Topic 18

omg
boo
lol
holy
boos
boooooooooo
boooo
boooooooooooooo
Top hashtags
#180
#00974
#271
#wiki_37
#322
#x2f22
#or16
#sfw16
#s15
#bot12
#511
#rule211
#footer9
#0398
#47
#87
#97336
#fuck6
#gid6
#i6
Top emoji
💵29
😂14
😍7
😄4
🎵2
👍2
🔥2
😉2
😊2
😜2
😞2
😢2
🎂1
🎶1
👌1

Sampled: text metrics from 50K of 48.8M 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-2015-05
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
51,044,924
Nodes
51,044,924
Edges
30,057,706
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2015-05 (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, 5.3 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 — 2015-05 [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 — 2015-05. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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