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Tools for Analytics and Cognition for Crowd Journalism Application

dc.contributor.authorN. Paunkoskaen_US
dc.contributor.authorA. Hristoven_US
dc.contributor.authorA. Karadimceen_US
dc.contributor.authorN. Marinaen_US
dc.contributor.authorM. Sefidanoskien_US
dc.date.accessioned2026-05-21T12:08:27Z
dc.date.accessioned2026-05-22T08:49:57Z
dc.date.issued2022en_US
dc.description.abstractBusinesses and service consumers should take advantage of social media’s ability to adapt their marketing campaigns to achieve a long-term strategic advantage. Setting quantitative and attainable expectations is critical to the progress of every marketing or business endeavour. The development of tools for analytics and cognition (TAC) is essential for customers and providers to increase productivity and inject intelligent insights into operational and mission-critical social media businesses through driven analytics. In this paper, the developed tools provide guided analytics software for intelligent aggregation, cognition and interactive visualization with a monitoring dashboard for concrete crowd journalism use cases. The provider receives an approach to a guided analytic dashboard filled with meaningful business visualization predictions. Among the other things, he can inspect the quantitative metrics for a sharing economy and estimate stakeholders’ channel monetization as a new innovative quantified value by engaging users with trusted content. TAC uses this principle of engagement rate measurements and provides visualization insights for stakeholders to choose the right track for boosting their business.en_US
dc.format.extent252-263en_US
dc.identifier.citationIn: Y. H. Sheikh, I. A. Rai, A. D. Bakar (Eds.), 13th EAI International Conference on e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2021). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 443, pp. 252-263. Springer, Chamen_US
dc.identifier.doi10.1007/978-3-031-06374-9_16en_US
dc.identifier.isbn9783031063732en_US
dc.identifier.isbn9783031063749en_US
dc.identifier.isbn978-3-031-06374-9en_US
dc.identifier.issn1867-8211en_US
dc.identifier.issn1867-822Xen_US
dc.identifier.openalexhttps://openalex.org/W4285107893en_US
dc.identifier.urihttps://hdl.handle.net/20.500.15029/196en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-06374-9_16en_US
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.relation.conferenceIn: Y. H. Sheikh, I. A. Rai, A. D. Bakar (Eds.), 13th EAI International Conference on e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2021). Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 443, pp. 252-263. Springer, Chamen_US
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineeringen_US
dc.relation.ispartofseriese-Infrastructure and e-Services for Developing Countriesen_US
dc.relation.urihttps://link.springer.com/content/pdf/10.1007/978-3-031-06374-9_16.pdfen_US
dc.relation.urihttps://media.springernature.com/w153/springer-static/cover/book/978-3-031-06374-9.jpgen_US
dc.source.urihttps://doi.org/10.1007/978-3-031-06374-9_16en_US
dc.subjectSocial media analyticsen_US
dc.subjectDashboarden_US
dc.subjectAnalyticsen_US
dc.subjectComputer scienceen_US
dc.subjectVisualizationen_US
dc.subjectMonetizationen_US
dc.subjectSocial mediaen_US
dc.subjectVisual analyticsen_US
dc.subjectData scienceen_US
dc.subjectBusiness analyticsen_US
dc.subjectKnowledge managementen_US
dc.subjectWorld Wide Weben_US
dc.subjectMarketingen_US
dc.subjectBusiness modelen_US
dc.subjectBusinessen_US
dc.subjectElectronic businessen_US
dc.titleTools for Analytics and Cognition for Crowd Journalism Applicationen_US
dc.typeBook chapteren_US

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