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International Conference on e-Infrastructure and e-Services for Developing Countries

AFRICOMM 2021: e-Infrastructure and e-Services for Developing Countries pp 252–263Cite as

Tools for Analytics and Cognition for Crowd Journalism Application

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 443)

Abstract

Businesses 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.

Keywords

  • Social media
  • Guided analytics
  • Sharing economy
  • Engagement rate
  • Crowd journalism

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  • DOI: 10.1007/978-3-031-06374-9_16
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Notes

  1. 1.

    https://articonf.eu/crowd-journalism-use-case/.

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Acknowledgement

This research is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825134, the ARTICONF Project (https://articonf.eu/).

Author information

Authors and Affiliations

  1. University of Information Science and Technology, 6000, Ohrid, Macedonia

    Natasa Paunkoska, Atanas Hristov, Aleksandar Karadimce, Ninoslav Marina & Mirsat Sefidanoski

Authors
  1. Natasa Paunkoska
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  2. Atanas Hristov
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  3. Aleksandar Karadimce
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  4. Ninoslav Marina
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  5. Mirsat Sefidanoski
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Corresponding author

Correspondence to Natasa Paunkoska .

Editor information

Editors and Affiliations

  1. State University of Zanzibar, Zanzibar, Tanzania

    Yahya H. Sheikh

  2. State University of Zanzibar, Zanzibar, Tanzania

    Idris A. Rai

  3. State University of Zanzibar, Zanzibar, Tanzania

    Abubakar D. Bakar

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Paunkoska, N., Hristov, A., Karadimce, A., Marina, N., Sefidanoski, M. (2022). Tools for Analytics and Cognition for Crowd Journalism Application. In: Sheikh, Y.H., Rai, I.A., Bakar, A.D. (eds) 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. Springer, Cham. https://doi.org/10.1007/978-3-031-06374-9_16

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  • DOI: https://doi.org/10.1007/978-3-031-06374-9_16

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