Exploring the potential of social media crowdsourcing for post-earthquake damage assessment

L Li, M Bensi, G Baecher - International Journal of Disaster Risk Reduction, 2023 - Elsevier
Following disaster events, a significant hindrance to emergency response is a lack of
information on the spatial extent and severity of damages. Social media crowdsourcing has …

Detecting information from Twitter on landslide hazards in Italy using deep learning models

R Franceschini, A Rosi, F Catani, N Casagli - Geoenvironmental Disasters, 2024 - Springer
Background Mass media are a new and important source of information for any natural
disaster, mass emergency, pandemic, economic or political event, or extreme weather event …

On rapid multidisciplinary response aspects for Samos 2020 M7. 0 earthquake

M Foumelis, C Papazachos, E Papadimitriou… - Acta Geophysica, 2021 - Springer
Following the M 7.0 earthquake that struck the Greek island of Samos and Turkey's western
coast, causing extensive damage and casualties, we combined existing knowledge …

Entity Linking for real-time geolocation of natural disasters from social network posts

G Caillaut, S Auclair, C Gracianne, N Abadie, G Touya - PloS one, 2024 - journals.plos.org
When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly
understand the extent of the situation, especially through the development of “big picture” …

Twitter Social Network Interaction As Customer Engagement In Competition For E-Commerce E-Health Performance In Indonesia

AN Navisha, R Ambarwati, M Hariasih - Jurnal Manajerial, 2023 - journal.umg.ac.id
Background–The presence of e-commerce e-health is a societal solution to health needs in
the era pandemic. Social distancing rules cause considerable restrictions on community …

Rapid earthquake loss updating of spatially distributed systems via sampling-based bayesian inference

P Gehl, R Fayjaloun, L Sun, E Tubaldi… - Bulletin of Earthquake …, 2022 - Springer
Within moments following an earthquake event, observations collected from the affected
area can be used to define a picture of expected losses and to provide emergency services …

Die Magnitude 6, 4–Erdbeben in Albanien und Kroatien–Ingenieuranalyse der Erdbebenschäden und Erfahrungswerte für die Baunormung

L Abrahamczyk, D Penava, S Markušić, D Stanko… - …, 2022 - Wiley Online Library
In 2019 und 2020 wurde die Balkanregion von zwei Erdbeben der Stärke MW= 6, 4
heimgesucht. Am 26. November 2019 erschütterte ein Erdbeben den Nordwesten …

The transversal seismicity action RESIF: a tool to improve the distribution of the French seismicity products

F Masson, S Auclair, D Bertil… - Seismological …, 2021 - pubs.geoscienceworld.org
In recent years, the French seismological, geodetic, and gravimetric community has been
structured within Réseau Sismologique et géodésique Français (RESIF)(French …

Automated construction of a French Entity Linking dataset to geolocate social network posts in the context of natural disasters

G Caillaut, C Gracianne, N Abadie, G Touya… - … on Information Systems …, 2022 - hal.science
During natural disasters, automatic information extraction from Twitter posts is a valuable
way to get a better overview of the field situation. This information has to be geolocated to …

[PDF][PDF] Analysis of community resilience during natural disasters using data mining on massive social networks exchanges

R Franceschini - 2023 - tesidottorato.depositolegale.it
Mass media are a new and important source of information for any natural disaster, mass
emergency, pandemic, economic or political event, or extreme weather event affecting one …