Big Data Analytics in Social Sciences: Opportunities and Challenges
Keywords:
Knowledge Discovery, Innovation, Data Privacy, Interdisciplinary Research, Computational Social Science, Research Paradigms, Insights, Ethical Considerations, Methodology, Challenges, Opportunities, Data-driven Research, Social Sciences, Big Data AnalyticsAbstract
Big Data Analytics (BDA) has emerged as a transformative force across various disciplines, and its impact on social sciences is increasingly profound. This scholarly article explores the opportunities and challenges presented by Big Data Analytics in the realm of social sciences. The paper delves into the potential of harnessing vast datasets to derive valuable insights, enabling a more nuanced understanding of social phenomena. Additionally, it addresses the methodological and ethical challenges associated with the use of big data in social research, emphasizing the need for a careful and thoughtful approach. The integration of BDA into social sciences has the potential to revolutionize research methodologies, offering new avenues for exploration and analysis.