A citizen science approach for analyzing social media with crowdsourcing

C Bono, MO Mülâyim, C Cappiello, MJ Carman… - IEEE …, 2023 - ieeexplore.ieee.org
Social media have the potential to provide timely information about emergency situations
and sudden events. However, finding relevant information among the millions of posts being …

Leveraging Disruptive Technologies for Faster and More Efficient Disaster Response Management.

C Calle Müller, L Lagos… - Sustainability (2071-1050 …, 2024 - search.ebscohost.com
Natural disasters cause extensive infrastructure and significant economic losses, hindering
sustainable development and impeding social and economic progress. More importantly …

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach

T Papadimos, S Andreadis, I Gialampoukidis… - Sensors, 2023 - mdpi.com
This paper discusses the importance of detecting breaking events in real time to help
emergency response workers, and how social media can be used to process large amounts …

[PDF][PDF] Adaptive Filtering Strategies for Social Media Streams.

CA Bono - CAiSE (Doctoral Consortium), 2023 - ceur-ws.org
Abstract Information produced on social media platforms can serve a wide range of
applications, yet the ability to obtain and refine this information is hindered. Social media …

CS tools final release-EU Crowd4SDG Project

J Cerquides, MO Mülâyim, B Pernici, CA Bono… - 2023 - hal.science
The Citizen Science Solution Kit (CSSK) is a set of open-source software tools developed
and maintained by the Crowd4SDG project partners to enable citizen scientists to conceive …

[PDF][PDF] A Citizen Science Approach for Analyzing Social Media With Crowdsourcing

C CAPPIELLO, MJ CARMAN, J CERQUIDES… - iiia.csic.es
Social media have the potential to provide timely information about emergency situations
and sudden events. However, finding relevant information among the millions of posts being …

[PDF][PDF] Short introduction

B Pernici - 2022 - mdgs.un.org
Study on timeliness of disaster-related data Page 1 Study on timeliness of disaster-related data
Barbara Pernici Politecnico di Milano November 10, 2022 This project has received funding …