Pushshift Reddit — 2015-04

A Reddit (Pushshift archive, 2015-04) dataset of 51,029,878 comments and 29,595,250 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 48,169 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-04 — full comment text, reply graph, and engagement metrics across 48,169 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Pushshift#Reply network#Subreddit

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 51,029,878 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

51M
Nodes
29.6M
Edges
1.00e-08
Density
21.4M
Components
0.01102
Assortativity
0.0%
Reciprocity
29.6M
Bridges
Most central nodes
cq8cyqm2e-05
cq153oa2e-05
cq13irt1e-05
cqeqerb1e-05
cq71nvu1e-05
cqqxlit1e-05
cqiti921e-05
cq3x1fe1e-05
cqt93nh1e-05
cq36jey1e-05
Content metrics

51,029,878 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.93 ± 52
min -4.8Kmax 8.1K
controversiality2.3% true
true 2.3%false 97.7%
gildedμ 0 ± 0.025
min 0max 82
6.4
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinkknowgoodtimewantwayrightgamegoinggotneedprettysurethinguseworkbetterlotdoesndidnactuallynewsaidlookprobablythingsdaygreatpostthanksloveisnyeahfeelbestbadpointyearsshitplayfindmaybetrylittleampmanlong
Topic clusters

Topic 0

like
feel
look
good
think
know
thing
want

Topic 1

game
play
like
player
damage
good
time
level

Topic 2

people
law
think
right
like
thing
religion
god

Topic 3

pay
money
work
job
people
need
company
like

Topic 4

team
play
game
player
season
year
win
fan

Topic 5

phone
update
use
post
run
app
link
work

Topic 6

car
sound
like
truck
song
drive
amp
headphone

Topic 7

movie
video
watch
episode
film
like
series
think
Top hashtags
#00990
#x2f66
#140
#wiki_33
#224
#design22
#319
#or12
#sfw12
#511
#define11
#323210
#710
#s10
#bot9
#t9
#88
#98
#footer8
#47
Top emoji
😨360
🙌13
🌚9
😂7
🔥6
😊6
👍5
👼5
😁5
😉3
😒3
🚨3
🎵2
🏢2
👌2

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-2015-04
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
51,029,878
Nodes
51,029,878
Edges
29,595,250
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2015-04 (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, 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 — 2015-04 [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 — 2015-04. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →