Pushshift Reddit — 2014-07

A Reddit (Pushshift archive, 2014-07) dataset of 41,064,369 comments and 22,823,526 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 38,886 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2014-07 — full comment text, reply graph, and engagement metrics across 38,886 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

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

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 41,064,369 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

41.1M
Nodes
22.8M
Edges
1.00e-08
Density
18.2M
Components
0.00188
Assortativity
0.0%
Reciprocity
22.8M
Bridges
Most central nodes
cj3ehid6e-05
cj3e10g4e-05
cit114f4e-05
cj8c2d12e-05
cj8uumi1e-05
cj3dva91e-05
cioolzf1e-05
ciyo1711e-05
cj3w07n1e-05
cj3zgrw1e-05
Content metrics

41,064,369 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.47 ± 45.73
min -2.1Kmax 8K
controversiality2.2% true
true 2.2%false 97.8%
gildedμ 0 ± 0.022
min 0max 24
6.4
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkknowtimegoodwantwayrightgoinggamegotneedprettyuseworkthingactuallysuredidndoesnlotthanksbetterthingssaidnewlovegreatlookfeeldayprobablyisnpostfindyearsyeahshitpointbesttrylittleplaymanmaybegettingbadlong
Topic clusters

Topic 0

people
like
woman
think
know
thing
want
feel

Topic 1

look
like
eat
good
try
time
day
know

Topic 2

game
play
like
good
damage
think
time
use

Topic 3

team
player
year
play
think
season
game
fan

Topic 4

work
pay
money
year
price
trade
sell
job

Topic 5

post
comment
remove
question
moderator
automatically
submission
link

Topic 6

triple
steph
hhh
kane
john
wwe
chant
title

Topic 7

movie
watch
song
video
like
good
episode
music
Top hashtags
#009199
#973347
#137
#or26
#sfw26
#973423
#t19
#wiki_19
#214
#323214
#q14
#312
#movieguide_stars7
#wiki_37
#06
#106
#ratings6
#s6
#55
#65
Top emoji
😊3
🎸2
💖2
😍2
😭2
👌1
👍1
💨1
😄1
😆1
😉1
🙏1
🚴1

Sampled: text metrics from 50K of 39.3M 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-2014-07
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
41,064,369
Nodes
41,064,369
Edges
22,823,526
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2014-07 (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 — 2014-07 [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 — 2014-07. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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