Datasets

A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages.

2015, Proceedings of the 24th international conference companion on World Wide Web

Dataset description

A dataset of 5,642 manually annotated tweets in the Italian language. The tweets are related to 4 different natural disasters occurred in Italy between 2009 and 2014. For each tweet is reported:

  • tweet ID;
  • text;
  • source;
  • author’s screen name;
  • author’s ID;
  • latitude and longitude (if available);
  • time;
  • disaster ID (see below);
  • class.

 

Tweets have been manually annotated by humans and divided among 3 classes according to the information they convey:

  • damage class: tweets related to the disaster and carrying information about damages to the infrastructures or on the population;
  • no damage class: tweets related to the disaster but not carrying relevant information for the assessment of damages;
  • not relevant class: tweets collected while building the dataset, but not related to any disaster (noise).

 

Dataset Statistics

This dataset comprises Twitter chatter about 4 different natural disasters occurred in Italy, as reported in the following table.

  Tweets
 Disaster ID  Place  Type  Year  damage  no damage  not relevant   Total
0 Sardegna Flood  2013  717  194  65  976
1 L’Aquila Earthquake 2009  312  480  270  1,062
2 Emilia Earthquake  2012  507 2,141   522  3,170
3 Genova Flood 2014 187 201 46 434
Total   1,723 3,016 903 5,642

 


 

Source (Citation)

S. Cresci, M. Tesconi, A. Cimino and F. Dell’Orletta A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages. Proceedings of the 24th international conference companion on World Wide Web. ACM, 2015.

 

BibTex

@inproceedings{cresci2015swdm,
title={A Linguistically-driven Approach to Cross-Event Damage Assessment of Natural Disasters from Social Media Messages},
author={Cresci, Stefano and Tesconi, Maurizio and Cimino, Andrea and Dell’Orletta, Felice},
booktitle={Proceedings of the 24th international conference companion on World Wide Web},
year={2015},
organization={ACM}
}