Pushshift Reddit — 2014-04

The Reddit comments in the Pushshift archive's monthly file for April 2014: 42,440,735 comments posted in 38,363 subreddits between 1 April 2014 00:00 UTC and 30 April 2014 23:59 UTC, from the monthly comment file RC_2014-04.bz2 of the Pushshift Reddit dataset (Baumgartner, Zannettou, Keegan, Squire and Blackburn, ICWSM 2020). Each comment has its text, author name, time, the comment or submission it answers, the submission thread and the subreddit, together with the score and flair fields of the original record. 25,776,053 comments reply to another comment and 16,664,682 are top-level comments on a submission. 5,479,603 comments (13%) carry the author name "[deleted]". The month is one of a monthly series; the submissions themselves are not part of this file.

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,536,911 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.5M
Nodes
15.6M
Edges
6.61e-06
Density
6.3K
Components
-0.00334
Assortativity
41.2%
Reciprocity
382.7K
Bridges
Most central nodes
StickleyMan0.00262
BlakeClass0.00244
AutoModerator0.0022
Unidan0.00206
autowikibot0.00144
angrypotato10.00141
_vargas_0.00126
danrennt980.00125
-eDgAR-0.00123
Squalor-0.00113
Content metrics

42,440,735 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

x scoreμ 5.409 ± 45.31
min -3.3Kmax 9.8K
x upsμ 5.409 ± 45.31
min -3.3Kmax 9.8K
x controversiality2.4% true
true 2.4%false 97.6%
x gildedμ 0 ± 0.021
min 0max 40
6.5
Flesch–Kincaid grade
US school grade level
7.0
Automated readability index
Frequent terms
likedonpeoplethinktimeknowgoodwantwaygoinggamerightgotneeduseprettyworksurebetterthinglotdoesnactuallydidnthingsgreatlovelooknewsaidprobablyfeelthanksdaybestfindtryyearsisnpointbadplaypostyeahmaybelittleshitlongmangetting
Topic clusters

Topic 0

game
play
player
like
think
good
server
time

Topic 1

look
like
picture
beautiful
love
amazing
great
good

Topic 2

que
der
para
die
por
ich
los
und

Topic 3

sub
subreddit
post
reddit
mod
downvote
thread
people

Topic 4

think
people
like
feel
know
life
state
thing

Topic 5

fuck
fucking
shit
bitch
bad
suck
kill
faggot

Topic 6

song
album
music
sound
listen
band
hear
like

Topic 7

thank
share
appreciate
post
feedback
man
suggestion
great

Topic 8

car
bike
good
place
beer
live
town
area

Topic 9

school
year
class
program
student
college
course
month

Topic 10

eat
food
water
recipe
drink
cook
carb
like

Topic 11

sell
send
google
account
price
email
marketing
interested
Show all 13 topics

Topic 12

video
movie
watch
youtube
film
link
trailer
great
Top hashtags
#00991K
#135.8K
#or29.9K
#sfw29.9K
#219K
#wiki_15K
#t14.1K
#973311.4K
#32329.1K
#39K
#s6.4K
#45.7K
#97345.4K
#04.9K
#b4.8K
#53.8K
#quick3.5K
#63K
#gid2.8K
#q2.5K
Top emoji
🇺1.8K
🇸1.8K
😏1.2K
💩934
😴841
😊836
😂705
😍674
👍618
😉512
😁452
🌊385
😃361
😜333
😭328

Computed over the full corpus. Degree assortativity: exact — networkx's degree assortativity (Pearson correlation of the degrees at the two ends of every edge; directed: out-degree of the source against in-degree of the target), computed with 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-2014-04
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
39,223,712
Nodes
1,536,911
Edges
15,608,329 (directed)
Languages
en
Collected
2014-04 (2010s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://archive.org/details/2015_reddit_comments_corpus unverified
Original files as received
The source files, unconverted, kept for reference: mirrored on echo.directory, 3.9 GB across 1 files. Checksums in MANIFEST.json. For use, start with the data package below.
Data package
Version 1.0.0 of this dataset as an ECHO Data Package: posts (42,440,735 rows), communities (38,363 rows).
Structure
Temporal (timestamped), Text, Threaded conversations

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 — 2014-04 [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 — 2014-04. 2020, doi.org/10.1609/icwsm.v14i1.7347.

BibTeX · RIS · CSL-JSON

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