A multi-platform framework for nowcasting social phenomena: A case study for food insecurity

Simple item page
cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.affiliationBioversity Internationalen_US
cg.contributor.affiliationUniversity of Moliseen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeClimate Resilienceen_US
cg.creator.identifierBia Carneiro: 0000-0002-7957-8694en_US
cg.creator.identifierGiuliano Resce: 0000-0002-3913-0510en_US
cg.creator.identifierGiulia Tucci: 0000-0002-1829-2967en_US
cg.creator.identifierGiosuè Ruscica: 0009-0001-2526-7719en_US
cg.identifier.doihttps://doi.org/10.4995/carma2024.2024.17805en_US
cg.identifier.urlhttp://ocs.editorial.upv.es/index.php/CARMA/CARMA2024/paper/viewFile/19017/8960en_US
cg.subject.actionAreaSystems Transformationen_US
cg.subject.alliancebiovciatFOOD SECURITYen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
dc.contributor.authorCarneiro, Biaen_US
dc.contributor.authorResce, Giulianoen_US
dc.contributor.authorTucci, Giuliaen_US
dc.contributor.authorRuscica, Giosueen_US
dc.contributor.authorCaravaggio, Nicolaen_US
dc.contributor.authorFanelli, Lauraen_US
dc.contributor.authorSantangelo, Agapito Emanueleen_US
dc.contributor.authorCruciata, Pietroen_US
dc.date.accessioned2024-07-31T07:11:01Zen_US
dc.date.available2024-07-31T07:11:01Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/149325en_US
dc.titleA multi-platform framework for nowcasting social phenomena: A case study for food insecurityen_US
dcterms.abstractGiven the growing significance of internet-based information flows, this research proposes a conceptual framework that integrates digital platforms to nowcast social phenomena, applied to the context of food security monitoring in the Global South. Building on the foundations of Digital Methods and online issue mapping, our research objective is to establish a multi-modal, multi-media model that monitors events from different perspectives to identify potential early warning signals arising from the data, ultimately informing policy actors and supporting early action. We apply three analytical processes: social listening, media monitoring and search interest analysis. Exploratory analysis on data from Zimbabwe point to the feasibility of the models applied to identify food security dimensions in text and search engine data. Further analysis is needed to interpret converging and diverging trends across the data streams, and their implications to food insecurity early warning.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2024-06-26en_US
dcterms.bibliographicCitationCarneiro, B.; Resce, G.; Tucci, G.; Ruscica, G.; Caravaggio, N.; Fanelli, L.; Santangelo, A.E.; Cruciata, P. (2024) A multi-platform framework for nowcasting social phenomena: A case study for food insecurity. 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024). Valencia, 26-28 June 2024. 8 p.en_US
dcterms.extent8 p.en_US
dcterms.issued2024-07en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.subjectmachine learningen_US
dcterms.subjectfood securityen_US
dcterms.subjectearly warning systemsen_US
dcterms.subjecttext miningen_US
dcterms.subjectsocial mediaen_US
dcterms.subjectdigital methodsen_US
dcterms.subjectmonitoring systemsen_US
dcterms.subjectnewspapersen_US
dcterms.subjecttelegramen_US
dcterms.subjectdigital platformsen_US
dcterms.subjectnowcastingen_US
dcterms.subjectgoogle trendsen_US
dcterms.typeConference Paperen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
17805-53222-2-PB.pdf
Size:
507.71 KB
Format:
Adobe Portable Document Format
Download

Collections

Alliance Bioversity CIAT Conference Papers, Abstracts, and Proceedings
Alliance Research Lever 3: Climate Action
CGIAR Initiative on Climate Resilience