Electronic Resource

Article - A Data Quality Multidimensional Model for Social Media Analysis Vol. 25, No. 1 Halaman: 421–442

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Social media platforms have become a new
source of useful information for companies. Ensuring the
business value of social media first requires an analysis of
the quality of the relevant data and then the development of
practical business intelligence solutions. This paper aims at

building high-quality datasets for social business intelli-
gence (SoBI). The proposed method offers an integrated

and dynamic approach to identify the relevant quality
metrics for each analysis domain. This method employs a
novel multidimensional data model for the construction of
cubes with impact measures for various quality metrics. In
this model, quality metrics and indicators are organized in
two main axes. The first one concerns the kind of facts to
be extracted, namely: posts, users, and topics. The second
axis refers to the quality perspectives to be assessed,

namely: credibility, reputation, usefulness, and complete-
ness. Additionally, quality cubes include a user-role

dimension so that quality metrics can be evaluated in terms
of the user business roles. To demonstrate the usefulness of
this approach, the authors have applied their method to two

separate domains: automotive business and natural disas-
ters management. Results show that the trade-off between

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.7 MAR a

Penerbit

: Springer Nature Switzerland AG., 2022

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

1573-7667

Klasifikasi

005.7

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol. 25, No. 1 Halaman: 421–442

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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