ECHOExploratory Compendium of Humanity Online

Pushshift Reddit — 2010-04

AnalyzedLargegraphtextRedditEngagementSentimentSocial graph

A Reddit (Pushshift archive, 2010-04) dataset of 1,482,903 comments and 1,143,923 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 2,895 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-04 — full comment text, reply graph, and engagement metrics across 2,895 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

Cite this dataset at pushshift-reddit-2010-04.echo.directory

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,482,903 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.5M
Nodes
1.1M
Edges
5.20e-07
Density
339K
Components
0.0%
Reciprocity
1.1M
Bridges
Most central nodes
c0ncwg90.00019
c0nd1qu0.00014
c0nzo5v0.00013
c0p5qkh7e-05
c0ok3ck6e-05
c0o2frb6e-05
c0p0uoi5e-05
c0p3i8c5e-05
c0p3ctm5e-05
c0nmqk95e-05
Content metrics

2,474,240 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 4.054 ± 18.07
min -302max 3.1K
controversiality0.0% true
true 0.0%false 100.0%
6.6
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwayrightwantgoingactuallyusegotworkthingdaybetterprettythingsdoesndidngameneedsureyearssaidlookaprillotpointfindnewmantrygreatprobablyredditlovethoughtbestfeelisnlifelittleguybadreadyesshit
Topic clusters

Topic 0

like
look
smoke
eat
good
water
dog
food

Topic 1

game
play
like
good
blizzard
time
player
team

Topic 2

people
government
right
money
israel
pay
think
obama

Topic 3

girl
woman
like
guy
feel
kid
think
friend

Topic 4

upvote
admin
reddit
downvote
infinity
post
vote
upvoted

Topic 5

use
work
vim
file
like
run
language
text

Topic 6

god
people
church
child
jesus
religion
know
think

Topic 7

school
book
read
teacher
math
class
student
college

Topic 8

joke
funny
laugh
troll
people
comment
like
stupid

Topic 9

album
song
listen
music
hear
good
sound
band

Topic 10

thank
time
hour
day
clock
remind
military
awesome
Top hashtags
#140
#t36
#223
#49
#35
#v5
#54
#vatican_state4
#chairman_to_interim_president3
#soviet_afghanistan3
#venezuelan_national_guard_affair3
#102
#132
#182
#background2
#hl2
#space_flight2
#the_paradox_of_tolerance2
#united_states2
#zero_work2

Sampled: text metrics from 50K of 2.4M records; topic model from 20K.

Record

Catalog key
pushshift-reddit-2010-04
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
2,474,240
Nodes
1,482,903
Edges
1,143,923
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2010-04 (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, 278.5 MB 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 — 2010-04 [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 — 2010-04. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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