A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma

Streaming social media provides a real-time glimpse of extreme weather impacts. However, the volume of streaming data makes mining information a challenge for emergency managers, policy makers, and disciplinary scientists. Here we explore the effectiveness of data learned approaches to mine and filter information from streaming social media data from Hurricane Irma's landfall in Florida, USA. We use 54,383 Twitter messages (out of 784K geolocated messages) from 16,598 users from Sept. 10 - 12, 2017 to develop 4 independent models to filter data for relevance: 1) a geospatial model based on forcing conditions at the place and time of each tweet, 2) an image classification model for tweets that include images, 3) a user model to predict the reliability of the tweeter, and 4) a text model to determine if the text is related to Hurricane Irma. All four models are independently tested, and can be combined to quickly filter and visualize tweets based on user-defined thresholds for each submodel. We envision that this type of filtering and visualization routine can be useful as a base model for data capture from noisy sources such as Twitter. The data can then be subsequently used by policy makers, environmental managers, emergency managers, and domain scientists interested in finding tweets with specific attributes to use during different stages of the disaster (e.g., preparedness, response, and recovery), or for detailed research.



Work Title A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma
Open Access
  1. Somya D. Mohanty
  2. Brown Biggers
  3. Saed Sayedahmed
  4. Nastaran Pourebrahim
  5. Evan B. Goldstein
  6. Rick Bunch
  7. Guangqing Chi
  8. Fereidoon Sadri
  9. Tom P. McCoy
  10. Arthur Cosby
License In Copyright (Rights Reserved)
Work Type Article
  1. International Journal of Disaster Risk Reduction
Publication Date January 1, 2021
Deposited November 15, 2021




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Work History

Version 1

  • Created
  • Added Mohanty_et_al_2021_IJDRR_Mining_tweets_for_disaster_research.pdf
  • Added Creator Somya D. Mohanty
  • Added Creator Brown Biggers
  • Added Creator Saed Sayedahmed
  • Added Creator Nastaran Pourebrahim
  • Added Creator Evan B. Goldstein
  • Added Creator Rick Bunch
  • Added Creator Guangqing Chi
  • Added Creator Fereidoon Sadri
  • Added Creator Tom P. McCoy
  • Added Creator Arthur Cosby
  • Published
  • Updated
  • Updated