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

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cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationBioversity Internationalen
cg.contributor.affiliationUniversity of Moliseen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeClimate Resilience
cg.creator.identifierBia Carneiro: 0000-0002-7957-8694en
cg.creator.identifierGiuliano Resce: 0000-0002-3913-0510en
cg.creator.identifierGiulia Tucci: 0000-0002-1829-2967en
cg.creator.identifierGiosuè Ruscica: 0009-0001-2526-7719en
cg.identifier.doihttps://doi.org/10.4995/carma2024.2024.17805en
cg.identifier.urlhttp://ocs.editorial.upv.es/index.php/CARMA/CARMA2024/paper/viewFile/19017/8960en
cg.subject.actionAreaSystems Transformation
cg.subject.alliancebiovciatFOOD SECURITYen
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hungeren
dc.contributor.authorCarneiro, Biaen
dc.contributor.authorResce, Giulianoen
dc.contributor.authorTucci, Giuliaen
dc.contributor.authorRuscica, Giosueen
dc.contributor.authorCaravaggio, Nicolaen
dc.contributor.authorFanelli, Lauraen
dc.contributor.authorSantangelo, Agapito Emanueleen
dc.contributor.authorCruciata, Pietroen
dc.date.accessioned2024-07-31T07:11:01Zen
dc.date.available2024-07-31T07:11:01Zen
dc.identifier.urihttps://hdl.handle.net/10568/149325
dc.titleA multi-platform framework for nowcasting social phenomena: A case study for food insecurityen
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
dcterms.accessRightsOpen Access
dcterms.available2024-06-26en
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
dcterms.extent8 p.en
dcterms.issued2024-07en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectmachine learningen
dcterms.subjectfood securityen
dcterms.subjectearly warning systemsen
dcterms.subjecttext miningen
dcterms.subjectsocial mediaen
dcterms.subjectdigital methodsen
dcterms.subjectmonitoring systemsen
dcterms.subjectnewspapersen
dcterms.subjecttelegramen
dcterms.subjectdigital platformsen
dcterms.subjectnowcastingen
dcterms.subjectgoogle trendsen
dcterms.typeConference Paper

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