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Article . 2023
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
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The moral risk s and correction for the big data ecosystem

Authors: Chengfei Wei; Zhaodan Xie;

The moral risk s and correction for the big data ecosystem

Abstract

Big data ecosystem, which promotes knowledge sharing and science & technology innovation, improves the core competitive advantage of participants, and overcomes the barrier of time and space in social interaction, has its negative aspects. Public anonymity freedom has nearly been destroyed because of privacy disclosure. Since the re-identification of trade secrets, the fairness of competition has been broken. Information control differentiation has negative impacts on the right to know and choose. Profit from data acquired by huge companies influences the interests of consumers. Monopoly in data hinders the autonomy of inheritance. Solidification of the decision-making course impacts exploration and innovation. All these above violate basic human rights and risk economic goals. In order to realize a balanced and positive circular for the interests of each side in the Internet of Things, it is necessary to establish a moral correction system based on the principles of human rights, harmless, and responsibility

Related Organizations
Keywords

Big data; Ecosystem; Moral Risks; Moral Correction

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average