Structure and Dynamics of Growing r/AITA Reddit Thread Networks (2023)

A Reddit dataset of 6,252,711 posts and comments, 6,279 AITA submissions, 6,239,711 nodes, 6,133,386 reply edges, collected by Zenodo contributor via Reddit API, September–October 2023. Each record contains post/comment id, reply graph (parent_id), title, VADER sentiment, readability (Fog + FK-GL), 10 emotion lexicon scores (anticipation, disgust, fear, joy, sadness, surprise, trust, anger, positive, negative), valence/arousal/dominance. 2M+ r/AmITheAsshole posts and comments with pre-computed emotion lexicon scores, readability metrics, and VADER sentiment across multiple time windows (all-time, monthly, weekly, yearly); includes full reply graph structure.. Suitable for Emotion dynamics in online moral judgment, reply network analysis, readability and engagement research, temporal thread growth modeling..

#Aita#Emotion lexicon#Moral judgment#R amitheasshole#Readability#Thread growth#Vader

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 6,239,711 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

6.2M
Nodes
6.1M
Edges
1.58e-07
Density
106.3K
Components
0.0%
Reciprocity
6.1M
Bridges
Most central nodes
zybgw70.00186
14f03ai0.00147
15hbw8d0.0014
zg4mn50.00129
16lkuuc0.00117
114stgg0.00107
15b8ljg0.00106
xzn3520.00106
zbguxp0.00103
zalhix0.00102
Content metrics

6,139,665 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

sentiment compound VADERμ 0.059 ± 0.569
min -1max 1
low 33%medium 34%high 33%
readabilityμ 5.535 ± 5.724
min -15.7max 1.9K
readability FK GLμ 7.495 ± 4.553
min -3.734max 1.7K
anticipation avgLexVal12.8% true
true 12.8%false 87.2%
disgust avgLexVal6.6% true
true 6.6%false 93.4%
fear avgLexVal8.3% true
true 8.3%false 91.7%
joy avgLexVal12.2% true
true 12.2%false 87.8%
sadness avgLexVal8.5% true
true 8.5%false 91.5%
surprise avgLexVal6.2% true
true 6.2%false 93.8%
trust avgLexVal15.6% true
true 15.6%false 84.5%
anger avgLexVal8.6% true
true 8.6%false 91.4%
positive avgLexVal24.8% true
true 24.8%false 75.2%
negative avgLexVal17.0% true
true 17.0%false 83.0%
valence avgLexVal61.7% true
true 61.7%false 38.3%
arousal avgLexValμ 0.452 ± 0.078
min 0.046max 0.973
low 33%medium 34%high 33%
dominance avgLexValμ 0.523 ± 0.076
min 0.045max 0.991
low 33%medium 34%high 33%
7.3
Flesch–Kincaid grade
US school grade level
6.6
Automated readability index
Frequent terms
aitatellingwantingfriendsisterwibtahusbandweddingfamilymomrefusingbrotherdaughterwifesonboyfriendaskinghouseparentsgirlfriendlettingdadmakingcallingbirthdaygettingpaykidsmotherfriendsgoingdonhomegivingleavingmoneytakingstopwantpartybabysayingaitahdogfatherroommatetolddinnerbestwork
Topic clusters

Topic 0

friend
girlfriend
good
aita
tell
gym
boyfriend
want

Topic 1

roommate
neighbor
sleep
aita
apartment
room
rent
wibta

Topic 2

sister
tell
aita
sibling
baby
law
kid
kick

Topic 3

dinner
food
eat
cook
restaurant
meal
aita
refuse

Topic 4

money
pay
refuse
game
college
ticket
aita
concert

Topic 5

wife
husband
son
tell
aita
baby
job
kid

Topic 6

teacher
classmate
aita
want
seat
student
class
joke

Topic 7

mom
mother
tell
mum
parent
aita
boyfriend
want

Topic 8

vacation
family
cancel
holiday
trip
christmas
airport
spend

Topic 9

wedding
dress
friend
bridesmaid
good
attend
wear
aita

Topic 10

birthday
party
gift
cake
halloween
celebrate
present
want

Topic 11

coworker
work
colleague
wibta
job
worker
leave
boss
Show all 20 topics

Topic 12

brother
tell
aita
law
little
half
girlfriend
relationship

Topic 13

wedding
sister
brother
invite
attend
dress
aita
bridesmaid

Topic 14

dog
pet
animal
owner
aita
neighbor
watch
let

Topic 15

cousin
graduation
wedding
aita
tell
attend
refuse
want

Topic 16

nephew
niece
uncle
aita
babysitter
babysitte
gift
babysit

Topic 17

dad
father
hospital
die
visit
house
aita
refuse

Topic 18

daughter
father
bio
girlfriend
dad
tell
aita
life

Topic 19

step
stepmom
stepdaughter
dad
stepsister
stepdad
stepson
daughter
Top emoji
🌱1

Computed over the full corpus.

Record

Catalog key
reddit-aita-threads
Authors
Goglia, Diletta; Vega, Davide
Year
2024
Source paper
Structure and dynamics of growing networks of Reddit threads
DOI / arXiv
10.1007/s41109-024-00654-y
License
Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
Records
6,239,711
Nodes
6,239,711
Edges
6,133,386 (directed)
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2018/2023 (2010s, 2020s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://zenodo.org/records/13620016 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 28.4 GB across 1087 files. Checksums in MANIFEST.json.

Citations

Structure and dynamics of growing networks of Reddit threads
Diletta Goglia, Davide Vega
Journal Article · Applied Network Science · 2024

17
citations
cited
1
influential citations
6% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-22.

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}
}

@article{Goglia_2024,
  title     = {Structure and dynamics of growing networks of Reddit threads},
  volume    = {9},
  issn      = {2364-8228},
  url       = {http://dx.doi.org/10.1007/s41109-024-00654-y},
  doi       = {10.1007/s41109-024-00654-y},
  number    = {1},
  journal   = {Applied Network Science},
  publisher = {Springer Science and Business Media LLC},
  author    = {Goglia, Diletta and Vega, Davide},
  year      = {2024},
  month     = Aug
}

APA

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

Goglia, D., & Vega, D. (2024). Structure and Dynamics of Growing r/AITA Reddit Thread Networks (2023) [Data set]. https://doi.org/10.1007/s41109-024-00654-y

MLA

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

Goglia, Diletta, and Davide Vega. Structure and Dynamics of Growing r/AITA Reddit Thread Networks (2023). 2024, doi.org/10.1007/s41109-024-00654-y.

BibTeX · RIS · CSL-JSON

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