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Framework for Social Media Big Data Quality Analysis

  • Conference paper
New Trends in Database and Information Systems II

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 312))

Abstract

Unlimited amount of unstructured data is being captured and analyzed over social media. The paper highlights the issue of lack of standard quality control approaches that could be utilized for all social media sites. This is due to the variety of formats of big data acceptable over these sites. The issue reveals a challenge not only in the capture of big data but also in the analysis and yield of valuable data, which affect decision-making. The paper reviews a collection of archived documents in the field of big data and social media. This paper presents a framework identifying the issues of quality analysis of big data on social media, examining current techniques used by social media companies to capture and analyze big data, and mapping social media sites and the appropriate combinations of big data capture and analysis techniques with the data quality control requirements.

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Author information

Authors and Affiliations

  1. Prince Sultan University – College for Women, King Abdullah Road, Riyadh, 11586, Saudi Arabia

    Dua’a Al-Hajjar, Nouf Jaafar, Manal Al-Jadaan & Reem Alnutaifi

Authors
  1. Dua’a Al-Hajjar
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  2. Nouf Jaafar
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  3. Manal Al-Jadaan
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  4. Reem Alnutaifi
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Editor information

Editors and Affiliations

  1. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Nick Bassiliades

  2. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanovic

  3. Faculty of Natural Science and Mathematics, Ss Cyril and Methodious University Institute for Informatics, Skopje, Macedonia

    Margita Kon-Popovska

  4. Department of Informatics, Aristotle University of Thessaloniki, University Campus, Thessaloniki, Greece

    Yannis Manolopoulos

  5. Paris Descartes University, Paris, France

    Themis Palpanas

  6. EECS Department, Northwestern University, Evanston, Illinois, USA

    Goce Trajcevski

  7. Department of Informatics, Aristotle University of Thessalonik, Thessaloniki, Greece

    Athena Vakali

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© 2015 Springer International Publishing Switzerland

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Al-Hajjar, D., Jaafar, N., Al-Jadaan, M., Alnutaifi, R. (2015). Framework for Social Media Big Data Quality Analysis. In: Bassiliades, N., et al. New Trends in Database and Information Systems II. Advances in Intelligent Systems and Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-10518-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-10518-5_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10517-8

  • Online ISBN: 978-3-319-10518-5

  • eBook Packages: EngineeringEngineering (R0)

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