ECHOExploratory Compendium of Humanity Online

Slack Software Conversations (MSR 2020)

AnalyzedMediumtextSlackEngagementKnowledge sharingQ&ASoftware development

A Slack (software development communities) dataset of 40,010 messages across 5 programming language communities, collected by Chattopadhyay et al. for MSR 2020. Each record contains Slack message text, timestamp, speaker (anonymized), thread, community. Multi-community Slack dataset from software development channels, including Elmlang, Clojurians, Python, and Racket communities.. Suitable for conversation analysis, community dynamics, technical communication, linguistic analysis of developer chat.

#Clojure#Developer chat#Elm#Msr#Programming community#Python#Racket

Cite this dataset at slack-software-conversations.echo.directory

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Analytics

7.7
Flesch–Kincaid grade
US school grade level
8.8
Automated readability index
Frequent terms
elmlikeusetypethinklistfunctionneeddonwaywantcodestringmodelthanksslightly_smiling_faceknowdataworktimemayberightcasemsgsuregoodyeahfilethingsracketmoduleyesmapdoesnclojurevalueerrorjsonupdateexamplethingtestapptryingpythonruntryproblemfunctionsuser
Topic clusters

Topic 0

file
request
script
run
server
token
api
package

Topic 1

list
dict
tuple
key
sort
value
map
item

Topic 2

type
string
decoder
alias
class
function
int
decode

Topic 3

msg
update
model
cmd
view
function
message
subscription

Topic 4

python
pip
install
virtualenv
bin
pycharm
instal
environment

Topic 5

think
idea
work
people
change
yeah
interview
good

Topic 6

thank
help
joana
agueda
appreciate
soraya
look
gotcha

Topic 7

code
language
cod
bit
functional
programming
source
read

Topic 8

datum
view
box
need
model
data
edge
graph

Topic 9

elm
package
app
compile
page
module
format
file

Topic 10

guess
wrong
hard
way
easy
probably
maybe
yeah

Topic 11

flask
docker
django
run
app
gunicorn
server
nginx
Show all 24 topics

Topic 12

case
regex
pattern
match
variable
statement
expression
operator

Topic 13

elm
europe
company
talk
community
learn
like
good

Topic 14

talk
post
find
follow
sound
article
step
osloelmday

Topic 15

import
file
line
subprocess
recent
traceback
pdb
lib

Topic 16

smile
smiley
cheer
thank
grin
definitely
yeah
know

Topic 17

json
decode
decoder
encode
string
object
value
file

Topic 18

number
float
int
array
nan
infinity
tofloat
loop

Topic 19

taco
krissy
katharina
benton
thank
dianne
joana
point

Topic 20

print
error
exception
output
expect
statement
test
throw

Topic 21

date
day
time
month
datetime
minute
hour
timedelta

Topic 22

orm
sqlalchemy
postgre
database
sql
migration
blueprint
migrate

Topic 23

look
helpful
like
handy
dollar
nice
think
awesome
Top hashtags
#lang91
#f85
#t28
#c0lmfrmb527
#object17
#file15
#view13
#c2fmlubeu11
#issuecomment10
#18
#c192t0q1e8
#c053ak3f97
#c07efmz1n7
#c0ln2ad7t7
#px7
#rx7
#26
#c0cj3sbbm6
#c0luagwrk6
#code6
Top emoji
𝑧21
𝜆18
🙂15
𝑥13
𝑎6
𝑦6
𐐷2
🇰2
🇵2

Computed over the full corpus.

Record

Catalog key
slack-software-conversations
Year
2020
Source paper
Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations"
DOI / arXiv
10.5281/zenodo.3468559
License
Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
Records
40,010
Languages
en
Collected
2019 (2010s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://zenodo.org/records/3468559 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.7 MB 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{archivalslack_2020,
  title        = {Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations"},
  howpublished = {Zenodo},
  year         = {2020},
  doi          = {10.5281/zenodo.3468559}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Slack Software Conversations (MSR 2020) [Data set]. https://doi.org/10.5281/zenodo.3468559

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Slack Software Conversations (MSR 2020). 2020, doi.org/10.5281/zenodo.3468559.

BibTeX · RIS · CSL-JSON

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