Public crowdsensing of heat waves by social media data

Grasso, Valentina; Crisci, Alfonso; Morabito, Marco; Nesi, Paolo; Pantaleo, Gianni

doi:https://doi.org/10.5194/asr-14-217-2017

Articles | Volume 14

https://doi.org/10.5194/asr-14-217-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/asr-14-217-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14

11 Jul 2017

| 11 Jul 2017

Public crowdsensing of heat waves by social media data

Valentina Grasso, Alfonso Crisci, Marco Morabito, Paolo Nesi, and Gianni Pantaleo

Data sets

EMS_heat_twitter/code/ Alfonso Crisci, Valentina Grasso, Marco Morabito, Paolo Nesi, and Gianni Pantaleo https://github.com/alfcrisci/EMS_heat_twitter/tree/master/code

Model code and software

EMS_heat_twitter/data/ Alfonso Crisci, Valentina Grasso, Marco Morabito, Paolo Nesi, and Gianni Pantaleo https://github.com/alfcrisci/EMS_heat_twitter/tree/master/data

Short summary

This work presents an analysis of tweets related to heat waves occurred in Italy in summer 2015. Social media offer new opportunities to indirectly measure the impact of heat waves on society. Tweets related to heat conditions were retrieved and analysed for main features. The daily volume of users and messages was a valuable indicator of heat wave impact in urban areas. The volume of tweets in certain locations was used to estimate thresholds of local discomfort conditions.