Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Technology innovation: advancing capacities for the early detection of and rapid response to invasive species

B Martinez, JK Reaser, A Dehgan, B Zamft, D Baisch… - Biological …, 2020 - Springer
Abstract The 2016–2018 National Invasive Species Council (NISC) Management Plan and
Executive Order 13751 call for US federal agencies to foster technology development and …

Cross-media learning for image sentiment analysis in the wild

L Vadicamo, F Carrara, A Cimino… - Proceedings of the …, 2017 - openaccess.thecvf.com
Much progress has been made in the field of sentiment analysis in the past years.
Researchers relied on textual data for this task, while only recently they have started …

CrisMap: a big data crisis mapping system based on damage detection and geoparsing

M Avvenuti, S Cresci, F Del Vigna, T Fagni… - Information Systems …, 2018 - Springer
Natural disasters, as well as human-made disasters, can have a deep impact on wide
geographic areas, and emergency responders can benefit from the early estimation of …

Social media use in emergency response to natural disasters: a systematic review with a public health perspective

K Muniz-Rodriguez, SK Ofori, LC Bayliss… - Disaster medicine and …, 2020 - cambridge.org
Social media research during natural disasters has been presented as a tool to guide
response and relief efforts in the disciplines of geography and computer sciences. This …

Mining social media data for rapid damage assessment during Hurricane Matthew: Feasibility study

F Yuan, R Liu - Journal of Computing in Civil Engineering, 2020 - ascelibrary.org
Previous research has employed social media index such as disaster-related ratio (DIRR) or
damage-related ratio (DARR) and sentiment to estimate the damages during disasters …

When a disaster happens, we are ready: Location mention recognition from crisis tweets

R Suwaileh, T Elsayed, M Imran, H Sajjad - International Journal of Disaster …, 2022 - Elsevier
Geolocation information is important for humanitarian organizations to gain situational
awareness and deliver timely aid during disasters. Towards addressing the problem of …

Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs

L Nizzoli, M Avvenuti, M Tesconi, S Cresci - Decision Support Systems, 2020 - Elsevier
Online social networks convey rich information about geospatial facets of reality. However in
most cases, geographic information is not explicit and structured, thus preventing its …

[HTML][HTML] Identifying disaster related social media for rapid response: a visual-textual fused CNN architecture

X Huang, Z Li, C Wang, H Ning - International Journal of Digital …, 2020 - Taylor & Francis
In recent years, social media platforms have played a critical role in mitigation for a wide
range of disasters. The highly up-to-date social responses and vast spatial coverage from …

Bot stamina: examining the influence and staying power of bots in online social networks

R Schuchard, AT Crooks, A Stefanidis… - Applied Network …, 2019 - Springer
This study presents a novel approach to expand the emergent area of social bot research.
We employ a methodological framework that aggregates and fuses data from multiple global …