Evaluating the quality of social media data in big data architecture

    Research output: Contribution to journalArticleScientificpeer-review

    87 Citations (Scopus)


    The use of freely available online data is rapidly increasing, as companies have detected the possibilities and the value of these data in their businesses. In particular, data from social media are seen as interesting as they can, when properly treated, assist in achieving customer insight into business decision making. However, the unstructured and uncertain nature of this kind of big data presents a new kind of challenge: how to evaluate the quality of data and manage the value of data within a big data architecture? This paper contributes to addressing this challenge by introducing a new architectural solution to evaluate and manage the quality of social media data in each processing phase of the big data pipeline. The proposed solution improves business decision making by providing real-time, validated data for the user. The solution is validated with an industrial case example, in which the customer insight is extracted from social media data in order to determine the customer satisfaction regarding the quality of a product.
    Original languageEnglish
    Pages (from-to)2028-2043
    JournalIEEE Access
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed


    • architecture
    • big data
    • computer architecture
    • meta data
    • online services
    • social network services


    Dive into the research topics of 'Evaluating the quality of social media data in big data architecture'. Together they form a unique fingerprint.

    Cite this