CrisisMMD — Southeast_Asia_Floods

A Twitter dataset of 830 tweets referencing 1,027 images by URL, collected by Alam et al. for the Southeast Asia Floods 2017 crisis. Each record contains tweet text, engagement metrics (retweets, favorites, replies, quotes), user metadata, media attachments, crisis code. The dataset is notable for its multimodal dataset from the Southeast Asia Floods 2017 crisis, collected from Twitter during the event with full Twitter API metadata. Intended for research into crisis informatics, multimodal learning, disaster response, image classification, tweet filtering, engagement analysis. This copy (the SocialED redistribution) holds the tweet objects only: the images are referenced by URL and the image files are not included, and neither are CrisisMMD's human annotations (informativeness, humanitarian category, damage severity).

#Crisis informatics#Humanitarian category

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Analytics

Content metrics

830 records scored

hashtag countavg 1.03 / 8
0std 1.408
830
With media
100.0%
Visual density
8.7
Flesch–Kincaid grade
US school grade level
10.2
Automated readability index
Frequent terms
morafloodfloodslsrilankacyclonesrilankalkabangladeshreliefaffectedfloodsamppeople2017hitnewhelpcyclonemoranewsaidlovevictimssineantoniocoach000danmyanmardaynavyrohingyahumanitariantodayuniteddisasterjdtrainswitchtolldonateshappyknifephotodeathheavyindianmoralpostschool
Topic clusters

Topic 0

lanka
sri
flood
relief
hit
aid
victim
navy

Topic 1

srilanka
flood
lka
floodsl
help
relief
affect
district

Topic 2

floodsl
lka
report
situation
help
school
item
floodrelieflka

Topic 3

dan
united
man
cover
salcedo
mora
pellegri
francisco

Topic 4

mora
location
moray
small
lake
home
base
free

Topic 5

antonio
art
mora
artist
space
alive
zorn
nice

Topic 6

cyclone
tropical
myanmar
heavy
mora
tisnews
impact
flash

Topic 7

bangladesh
cyclone
kill
indian
mora
navy
ship
damage

Topic 8

ale
fun
mora
instagram
tomorrow
listen
courtesy
party

Topic 9

cyclonemora
bangladesh
refugee
camp
affect
destroy
cyclone
home

Topic 10

order
mora
game
video
come
cost
prime
character

Topic 11

wine
italian
soon
mora
love
vehicle
barcelona
azul
Show all 15 topics

Topic 12

service
year
good
team
ready
congratulation
class
student

Topic 13

happy
love
day
know
friend
sister
mora
thank

Topic 14

coach
jdt
jim
head
ben
win
new
camp
Top hashtags
#floodsl94
#srilanka84
#lka51
#mora35
#cyclonemora21
#news15
#bangladesh14
#flood10
#myanmar8
#rohingya7
#floods6
#cyclone5
#floodrelieflka5
#top5
#auckland4
#eso4
#humanitarian4
#morrowind4
#newzealand4
#rainierwildflower4

Computed over the full corpus.

Record

Catalog key
crisismmd-Southeast_Asia_Floods
Authors
Alam, Firoj; Ofli, Ferda; Imran, Muhammad
Year
2018
Source paper
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters
DOI / arXiv
10.1609/icwsm.v12i1.14983
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) (CC-BY-NC-SA-4.0)
Records
830
Text corpus
tweet text
Languages
en
Collected
2017 (2010s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://github.com/ChenBeici/SocialED_datasets/tree/main/raw_data/CrisisMMD link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 4.1 MB across 2 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}
}

@inproceedings{alam2018crisismmd,
  author    = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
  title     = {CrisisMMD: Multimodal Twitter Datasets from Natural Disasters},
  year      = {2018},
  booktitle = {Proceedings of the 12th International AAAI Conference on Web and Social Media},
  series    = {ICWSM '18},
  publisher = {AAAI Press}
}

APA

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

Alam, F., Ofli, F., & Imran, M. (2018). CrisisMMD — Southeast_Asia_Floods [Data set]. https://doi.org/10.1609/icwsm.v12i1.14983

MLA

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

Alam, Firoj, et al. CrisisMMD — Southeast_Asia_Floods. 2018, doi.org/10.1609/icwsm.v12i1.14983.

BibTeX · RIS · CSL-JSON

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