Pushshift Reddit — 2014-12

A Reddit (Pushshift archive, 2014-12) dataset of 44,659,897 comments and 25,312,592 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 42,173 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2014-12 — full comment text, reply graph, and engagement metrics across 42,173 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 44,659,897 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

44.7M
Nodes
25.3M
Edges
1.00e-08
Density
19.3M
Components
-0.00194
Assortativity
0.0%
Reciprocity
25.3M
Bridges
Most central nodes
cmy7jqt8e-05
cmxt0271e-05
cml458q1e-05
cn8dx9l1e-05
cmzv9a01e-05
cmzv9hg1e-05
cn5d0l91e-05
cmvgouz1e-05
cn47eze1e-05
cn84eli1e-05
Content metrics

44,659,897 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.586 ± 47.14
min -2.2Kmax 6.4K
controversiality0.0% true
true 0.0%false 100.0%
gildedμ 0 ± 0.023
min 0max 14
6.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedonpeoplethinkgoodtimegameknowgemwantwaygoingneedgotrightprettybettersureuselotthingdidngreatworkdoesnnewactuallythingslovelookprobablythanksbestsaidplaypostfeelyeahbadyearfuckisnshitfinddaytrygettingpointyearslong
Topic clusters

Topic 0

team
game
win
defense
play
year
good
fan

Topic 1

game
play
player
like
raid
good
think
time

Topic 2

people
police
god
know
think
like
law
thing

Topic 3

school
money
pay
buy
work
year
time
job

Topic 4

look
hair
good
like
feel
beard
nice
wear

Topic 5

eat
food
beer
drink
cook
diet
taste
like

Topic 6

core
cpu
gpu
drive
newegg
intel
power
memory

Topic 7

sex
relationship
want
feel
woman
life
like
think

Topic 8

post
automatically
moderator
comment
remove
question
automoderator
concern

Topic 9

episode
watch
movie
film
like
anime
season
character

Topic 10

joke
laugh
funny
troll
stupid
hilarious
people
shit

Topic 11

time
try
leg
tonight
easy
leave
island
yeah
Show all 15 topics

Topic 12

song
music
sound
listen
album
guy
like
rock

Topic 13

think
question
answer
opinion
agree
wrong
comment
ask

Topic 14

thank
idea
suggestion
giveaway
awesome
know
appreciate
help
Top hashtags
#009121
#171
#r70
#sr56
#wiki_29
#dark27
#226
#metal23
#fire22
#water22
#321
#wood21
#earth20
#or20
#sfw20
#419
#light18
#orb17
#t17
#323214
Top emoji
👍15
😉3
😘3
👆2
👌2
💖2
😄2
😊2
🙊2
🍑1
🎯1
👅1
😁1
😂1
😋1

Sampled: text metrics from 50K of 42.8M 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-2014-12
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
44,659,897
Nodes
44,659,897
Edges
25,312,592
Nodes are
comment
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
comment text
Languages
en
Collected
2014-12 (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, 4.6 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 — 2014-12 [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 — 2014-12. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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