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Integration of Big Data Analytics with Social Media: Theoretical Foundations, Applications and Implications

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Listed:
  • Muna Kameelah Sauid
  • Nurul Ain Mustakim
  • Noorzalyla Mokhtar
  • Nur Hazwani Mohamad Roseli
  • Zatul Himmah Abdul Karim
  • Zulaika Sauid
  • Noor Rafhati Romaiha

Abstract

Big data and social media have become significant factors in shaping our modern society. Social media platforms offer a wealth of data, enabling corporations, scholars, and governments to gain valuable insights into human behavior, market trends, and social dynamics. The convergence of extensive data and social media has given rise to a fresh approach to making informed decisions and analyzing information. This paper explores the integration of big data analytics with social media platforms, focusing on the theoretical foundations, potential applications, and broader implications. By examining the synergy between real-time social media data and the analytical power of big data, this conceptual paper provides a comprehensive framework for understanding how integration can enhance business intelligence, decision-making, and innovation. Key areas of application, ethical considerations, technological challenges and future trends are discussed to offer valuable insights for both academic and practical contexts.

Suggested Citation

  • Muna Kameelah Sauid & Nurul Ain Mustakim & Noorzalyla Mokhtar & Nur Hazwani Mohamad Roseli & Zatul Himmah Abdul Karim & Zulaika Sauid & Noor Rafhati Romaiha, 2024. "Integration of Big Data Analytics with Social Media: Theoretical Foundations, Applications and Implications," Information Management and Business Review, AMH International, vol. 16(4), pages 272-279.
    • Handle: RePEc:rnd:arimbr:v:16:y:2024:i:4:p:272-279
    DOI: 10.22610/imbr.v16i4(S)I.4318
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