Pushshift Reddit — 2014-01

A Reddit (Pushshift archive, 2014-01) dataset of 36,672,492 comments and 19,559,488 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 33,846 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2014-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 33,846 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.

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

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 36,672,492 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

36.7M
Nodes
19.6M
Edges
1.00e-08
Density
17.1M
Components
0.00667
Assortativity
0.0%
Reciprocity
19.6M
Bridges
Most central nodes
cef4dt73e-05
cekf19g2e-05
cei3n3m2e-05
cehzb7p2e-05
cejqmil1e-05
ceruhf81e-05
cej517x1e-05
cef6thy1e-05
cezkih91e-05
cev7n0m1e-05
Content metrics

36,672,492 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 5.703 ± 47.15
min -1.4Kmax 9.1K
controversiality2.2% true
true 2.2%false 97.8%
gildedμ 0 ± 0.021
min 0max 18
6.4
Flesch–Kincaid grade
US school grade level
6.9
Automated readability index
Frequent terms
likedonpeoplethinktimegoodknownewyearwantwaygamegoinggotneedrightworksureprettybetterthingusedidndoesnyearsactuallylotthingsthanksgreatunidanpostloveprobablybestlooktrysaidpointfeelbadfindhappylittledayisngettingmanshityeah
Topic clusters

Topic 0

game
play
player
like
time
server
think
good

Topic 1

look
dog
like
good
love
wear
cat
feel

Topic 2

team
game
player
play
season
win
coach
good

Topic 3

people
wage
job
pay
work
minimum
money
slave

Topic 4

car
time
drive
hour
year
tire
day
ride

Topic 5

woman
girl
sex
relationship
want
friend
like
know

Topic 6

movie
episode
watch
video
book
character
like
good

Topic 7

card
use
phone
update
run
motherboard
price
power

Topic 8

eat
beer
drink
food
smoke
like
good
pizza

Topic 9

new
year
happy
years
party
thank
birthday
hope

Topic 10

add
mctr
shiny
trade
pokemon
breed
egg
adamant

Topic 11

upvote
downvote
reddit
comment
post
people
repost
karma
Show all 15 topics

Topic 12

think
english
pronounce
word
speak
talk
kay
tell

Topic 13

thank
awesome
add
appreciate
thanks
link
man
look

Topic 14

fuck
hate
bitch
asshole
cunt
fucking
idiot
cringe
Top hashtags
#145
#973342
#973428
#226
#t22
#316
#47
#s7
#32326
#85946
#05
#144
#64
#84
#dragon_powers_and_abilities4
#wiki_how_to_avoid_4
#wiki_what_is_tl4
#133
#363
#36473
Top emoji
🇮2
🇰2
🇹2
🍷2
😏2
🇦1
🇪1
🇫1
🇱1
🍰1
🐙1
👍1
😁1
😉1
😊1

Sampled: text metrics from 50K of 35M 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-2014-01
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
36,672,492
Nodes
36,672,492
Edges
19,559,488
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2014-01 (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, 3.9 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 — 2014-01 [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 — 2014-01. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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