Pushshift Reddit — 2015-01

A Reddit (Pushshift archive, 2015-01) dataset of 49,932,516 comments and 28,833,865 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 45,388 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2015-01 — full comment text, reply graph, and engagement metrics across 45,388 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.

#Comment tree#Monthly snapshot#Pushshift#Reply network#Subreddit

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 49,932,516 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

49.9M
Nodes
28.8M
Edges
1.00e-08
Density
21.1M
Components
0.00875
Assortativity
0.0%
Reciprocity
28.8M
Bridges
Most central nodes
cnbguaq3e-05
cnd5d1t2e-05
cnelcyi2e-05
co4zwy71e-05
cnoao6i1e-05
co3cn7r1e-05
cnu48ae1e-05
cnkh9o11e-05
cnyb1vj1e-05
co0vhbs1e-05
Content metrics

49,932,516 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.468 ± 47.7
min -2.7Kmax 6.6K
gildedμ 0 ± 0.023
min 0max 16
6.3
Flesch–Kincaid grade
US school grade level
6.7
Automated readability index
Frequent terms
likedonpeoplethinkgoodnewtimeknowyearwantwaygamegotgoingrighthappyuseneedbettersurelotprettyworkdidnthingyearsdoesngreatthingsactuallylovepostfeellookthankssaidbestprobablyshitdayplaymanisnfindpointtrybadlifemaybeyeah
Topic clusters

Topic 0

people
think
like
post
know
feel
comment
want

Topic 1

look
like
good
movie
sound
great
watch
love

Topic 2

team
game
coach
fan
player
play
season
win

Topic 3

time
money
buy
pay
price
sell
add
wait

Topic 4

play
damage
like
level
game
gun
good
kill

Topic 5

eat
food
like
good
weight
drink
meat
fat

Topic 6

game
play
cpu
like
steam
ram
card
new

Topic 7

year
new
happy
years
thank
good
great
eve
Top hashtags
#009114
#158
#wiki_34
#228
#or26
#sfw26
#320
#t16
#32328
#48
#05
#395
#65
#bdsm5
#chatterstats5
#gamergate5
#x275
#54
#bondage4
#gid4
Top emoji
🐜63
😊6
💯5
💥3
🔥3
😃3
😍3
🎉2
👌2
👍2
😄2
😉2
😞2
😢2
😩2

Sampled: text metrics from 50K of 47.8M 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-2015-01
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
49,932,516
Nodes
49,932,516
Edges
28,833,865
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2015-01 (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, 5.1 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 — 2015-01 [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 — 2015-01. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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