The Interplay of Big Data and Social Impact: Exploring the Societal Benefits and Concerns of Data-Driven Decision-Making

The Interplay of Big Data and Social Impact: Exploring the Societal Benefits and Concerns of Data-Driven Decision-Making

Authors

  • Xin Li Fudan University's Institute of Data Science
  • Ming Chen The Shanghai Institute of Technology and Data Governance

Keywords:

Big Data, Data-Driven Decision-Making, Societal Impact, Ethical Data Use, Policy Recommendations

Abstract

The interplay of big data and its societal impact has emerged as a paramount concern in the contemporary landscape of data-driven decision-making. This research article delves into the multifaceted relationship between big data and the consequences it holds for society. It undertakes a comprehensive analysis of the societal benefits and concerns associated with the use of big data in decision-making processes. This study reveals that the utilization of big data has brought about a myriad of societal benefits, including enhanced decision-making, increased efficiency, and innovation across various sectors. These advantages have driven economic growth and improved overall quality of life. However, the article also underscores the pressing concerns surrounding big data, particularly in the areas of privacy, data security, and algorithmic bias. The proliferation of data-driven decision-making raises ethical and legal dilemmas, necessitating the development of guidelines for ethical data use. Furthermore, the article offers recommendations to address these challenges effectively. It suggests the implementation of robust guidelines for ethical data use, emphasizing informed consent, data security, and bias mitigation. Policymakers are urged to enact adaptive policies that balance innovation with privacy and protection of individual rights. Finally, the article highlights several areas for further research, such as exploring the long-term societal effects of big data, developing standardized metrics for assessing its social impact, and researching ethical concerns in various cultural contexts. This research contributes to the ongoing dialogue about the implications of big data in our rapidly evolving digital world, offering a foundation for decision-makers, researchers, and policymakers to navigate the complexities of data-driven decision-making while maximizing its benefits and minimizing its societal concerns.

Author Biography

Ming Chen, The Shanghai Institute of Technology and Data Governance

 

 

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Published

2022-09-09

How to Cite

Li, X., & Chen, M. (2022). The Interplay of Big Data and Social Impact: Exploring the Societal Benefits and Concerns of Data-Driven Decision-Making. Journal of Human Behavior and Social Science, 6(7), 16–31. Retrieved from https://studies.eigenpub.com/index.php/jhbs/article/view/30
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