Digital Leviathan: Digital Convenience and Digital Domination in the Information Age: An Analysis based on Dialectics of Nature

Yongan Yan

doi:10.62051/ijsspa.v10n4.11

Authors

Yongan Yan

DOI:

https://doi.org/10.62051/ijsspa.v10n4.11

Keywords:

Big Data, Dialectics of Nature, Digital Leviathan

Abstract

Big data technology is a pivotal scientific and technological achievement of the information age. Its integration with state political power and market capital has given shape to the digital Leviathan. From the theoretical perspective of dialectics of nature, this paper argues that big data technology has driven a paradigm shift in humanity’s understanding of the world, fostering acceptance of the ambiguity of data and emphasis on the correlations between data. Meanwhile, big data technology has enhanced humanity’s ability to transform the world, empowering traditional government governance and market industries, and driving improvements in governance efficiency and productivity through technological innovation. However, big data technology has undergone alienation while empowering political power and market capital, forming the digital Leviathan. Through the coercive power of state authority and the developmental momentum of the market economy, it has become an instrument of domination over humanity, resulting in infringements on the rights of individual members of society.

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References

[1] Xu Shuang, Liu Wenbin, Li Jialong. Research Progress of Data Security Governance under the Background of Big Data. Journal of Taiyuan University of Technology, Vol. 55 (2024) No. 1, p.127-141.

[2] Viktor Mayer-Schönberger. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Zhejiang: Zhejiang People’s Publishing House, 2012, p. 215-220.

[3] Dai Changzheng, Bao Jing. Digital Government Governance: An Investigation Based on the Evolution of Social Formation. Chinese Public Administration, Vol. 33 (2017) No. 9, p.21-27.

[4] Meng Tianguang. Elements, Mechanisms and Paths of Government Digital Transformation: On the Two-way Drive of “Technology Empowerment” and “Technology Endowment”. Governance Studies, Vol. 37 (2021) No. 1, p.5-14.

[5] Wang Chao, Zhao Fazhen, Qu Zongxi. From Empowerment to Reconstruction: Logical Approach and Value Trend of Big Data-driven Government Risk Governance. E-Government, Vol. 17 (2020) No. 7, p.89-98.

[6] Liu Luning, He Weitao. Big Data Empowering the Construction of Co-construction, Co-governance and Sharing Social Governance System: Theoretical Issues and Realization Paths[J]. Journal of Xi’an Jiaotong University (Social Sciences), Vol. 43 (2023) No. 5, p.1-11.

[7] Ding Bo. Digital Empowerment or Digital Burden: Practical Logic and Governance Reflection of Digital Rural Governance[J]. E-Government, Vol. 19 (2022) No. 8, p.32-40.

[8] Wang Tianfu. Social Changes and Social Research in the Digital Era[J]. Social Sciences in China, Vol. 42 (2021) No. 12, p.73-88.

[9] Cheng Xiao. On Personal Data Rights in the Era of Big Data[J]. Social Sciences in China, Vol. 39 (2018) No. 3, p.102-122+207-208-208.

[10] Zhang Chunyan. Public Security Governance in the Era of Big Data[J]. Journal of Chinese Academy of Governance, Vol. 16 (2014) No. 5, p.100-104.

[11] Zhou Hanhua. Exploring Incentive-compatible Governance of Personal Data: Legislative Orientation of China’s Personal Information Protection Law[J]. Chinese Journal of Law, Vol. 40 (2018) No. 2, p.2-23.

[12] Thomas Hobbes. Leviathan[M]. Beijing: The Commercial Press, 1985, p. 115-132.

[13] Tang Huangfeng. Intrinsic Risks of Digital Leviathan and Data Governance[J]. Exploration and Free Views, Vol. 34 (2018) No. 5, p.42-45.

[14] Liu Shuliang. Taming Digital Leviathan: A Composite Scheme against Digital Domination[J]. Open Times, Vol. 42 (2023) No. 5, p.81-95+7.

[15] Ron Chernow. The House of Morgan[M]. Jiangsu: Jiangsu Literature and Art Publishing House, 2014, p. 63-80.

[16] Fan Yajie, Zhang Yunfei. Scientific Foundation of Dialectics of Nature: A Study of Engels’ Dialectics of Nature[J]. Studies on Marxism Theory, Vol. 3 (2017) No. 2, p.30-42.

[17] Friedrich Engels. Dialectics of Nature[M]. Beijing: People’s Publishing House, 2018, p. 113-122.

[18] Ma Mingju. Engels’ Dialectics of Nature and Its Great Contribution to Scientific Methodology[J]. Journal of Northwest Normal University (Social Sciences), Vol. 42 (1983) No. 3, p.136-141.

[19] Peng Lei, Yin Jie. Engels’ Scientific Methodology in Dialectics of Nature and Its Contemporary Implications[J]. Studies in Dialectics of Nature, Vol. 34 (2018) No. 1, p.123-128.

[20] Huang Xinrong. The Revolution of Scientific Methodology by Big Data Technology[J].

[21] Lü Naiji. Big Data and Epistemology[J]. China Soft Science, Vol. 29 (2014) No. 9, p.34-45.

[22] Dong Chunyu, Guo Yanna. An Analysis of Correlation and Causality from the Perspective of Cognitive Black Box[J]. Studies in Dialectics of Nature, Vol. 36 (2020) No. 12, p.54-59.

[23] Viktor Mayer-Schönberger. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Zhejiang: Zhejiang People’s Publishing House, 2012, p. 113-131.

[24] Daniel Kahneman. Thinking, Fast and Slow[M]. Beijing: CITIC Press, 2012, p. 36-40.

[25] Wang Tian’en. Value Characteristics of Big Data and Its Axiological Implications[J]. Jianghai Academic Journal, Vol. 65 (2022) No. 5, p.22-31.

[26] Chi Kaoxun, Shao Yueting, Su Fu. Value Source, Content and Creation Mechanism of Big Data: An Analysis based on SSCI Journals in Management and Business (2011-2021)[J]. Science & Technology Progress and Policy, Vol. 39 (2022) No. 22, p.151-160.

[27] Viktor Mayer-Schönberger. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Zhejiang: Zhejiang People’s Publishing House, 2012, p. 161-168.

[28] Ma Liang. Motivation, Capability and Performance of Public Sector Big Data Application: Theoretical Review and Research Prospects[J]. E-Government, Vol. 13 (2016) No. 3, p.62-74.

[29] Xing Mu, Chen Dong, Zhang Hongmei. Big Data Empowerment and Regional Development of New Quality Productive Forces: A Quasi-natural Experiment from National Big Data Comprehensive Pilot Zones[J]. Science & Technology Progress and Policy, Vol. 41 (2024) No. 20, p.23-31.

[30] Max Weber. Sociology of Domination[M]. Guangxi: Guangxi Normal University Press, 2004, p. 77-84.

[31] Wang Xiaoxiao, Huang Haigang, Xia Youfu. Digital Government Construction and Enterprise Innovation[J]. Finance & Economics, Vol. 65 (2021) No. 11, p.118-132.

[32] Zuo Xiaofan, Lu Jixia. From Poverty Alleviation to Common Prosperity: Path of Digital Technology Empowering Poverty Governance-Evidence from “Big Data Assistance” in Guizhou Province[J]. Modern Economic Research, Vol. 42 (2023) No. 9, p.96-107+132.

[33] Chen Lanxin, Shen Guilong. Tamed or to Be Tamed: Human Autonomy under Digital Leviathan[J]. Academic Monthly, Vol. 56 (2024) No. 10, p.90-100.

[34] Zhang Yuhong, Qin Zhiguang, Xiao Le. The Discriminatory Nature of Big Data Algorithms[J]. Studies in Dialectics of Nature, Vol. 33 (2017) No. 5, p.81-86.

[35] Viktor Mayer-Schönberger. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Zhejiang: Zhejiang People’s Publishing House, 2012, p. 260-271.

[36] Wu Weiguang. Criticism on Private Law Protection of Personal Data Information under Big Data Technology[J]. Political Science and Law, Vol. 35 (2016) No. 7, p.116-132.

[37] Liao Jiankai. Dilemma and Outlet of Legal Regulation on “Big Data Price Gouging”: From Consumer Rights Protection to Operator Algorithm Power Governance[J]. Journal of Southwest University of Political Science and Law, Vol. 22 (2020) No. 1, p.70-82.