Data Privacy Protection in News Crowdfunding in the Era of Artificial Intelligence

Data Privacy Protection in News Crowdfunding in the Era of Artificial Intelligence

Zhiqiang Xu, Dong Xiang, Jialiang He
Copyright: © 2022 |Pages: 17
DOI: 10.4018/JGIM.286760
Article PDF Download
Open access articles are freely available for download

Abstract

This paper aims to study the protection of data privacy in news crowdfunding in the era of artificial intelligence. This paper respectively quotes the encryption algorithm of artificial intelligence data protection and the BP neural network prediction model to analyze the data privacy protection in news crowdfunding in the artificial intelligence era. Finally, this paper also combines the questionnaire survey method to understand the public’s awareness of privacy. The results of this paper show that artificial intelligence can promote personal data awareness and privacy, improve personal data and privacy measures and methods, and improve the effectiveness and level of privacy and privacy. In the analysis, the survey found that male college students only have 81.1% of the cognition of personal trait information, only 78.5% of network trace information, and only 78.3% of female college students’ cognition of personal credit.
Article Preview
Top

1. Introduction

1.1 Background of Topic Selection

With the rapid development of social economy, artificial intelligence has also developed rapidly, and now it mainly presents the characteristics of the era of artificial intelligence development. In the era of artificial intelligence, people can learn and communicate online, as well as shop and entertain online. Artificial intelligence has become an important part of people's daily life, and artificial intelligence has gradually changed the way people live and work. The convenience of artificial intelligence puts people in a free, open and transparent space, which to a certain extent also threatens people personal privacy, and even causes great damage to people's personal and personal safety. Nowadays, as artificial intelligence increasingly penetrates into people's daily life and work, effective data privacy protection has become the focus of attention of all parties, and effective data privacy protection is also an important issue that needs to be solved urgently.

1.2 Significance of the Research

Privacy and protection include training, encryption, network communication technology and laws. Foreign research and practice in the protection of personal data and privacy have achieved certain development results. However, domestic research and the practice of privacy and privacy started late, with little success. The protection of personal data and privacy depends to a large extent on the individual's self-protection awareness and is also affected by all social protection measures. The protection of personal data and confidentiality cannot only be based on the correctness and integrity of the law, but also requires sound laws. The protection of personal data and privacy in this article can increase personal awareness of data and privacy, improve the measures and methods of personal data and privacy, and increase the effectiveness and level of personal data and privacy. In this case, it is necessary to learn from domestic and foreign experience and various measures and methods of network platforms to understand relevant personal data and privacy technologies.

1.3 Data Privacy Protection in News Crowdfunding in the Era of Artificial Intelligence

Artificial intelligence will become the focus of scientific and technological development in the next ten years or more, and will change the world in more detail and bring human society into a new era. In the development of artificial intelligence, there are many hidden dangers in data security and privacy. Balthazar P pointed out that surveillance mainly includes psychological surveillance, physical surveillance and data surveillance, among which data is closely related to personal privacy. With the development of the social economic environment and the development of information technology, personal privacy mainly presents the differentiated characteristics of different stages of social development (Kotsenas et al. 2021). Gwb B pointed out that artificial intelligence is a discipline of knowledge, a discipline that studies how to express, acquire, and use knowledge. The definition is defined by artificial intelligence simulation objects. In addition, from the perspective of the purpose of research and development of artificial intelligence, artificial intelligence is the study of the ability of computers to complete tasks that could only be done by humans in the past (Dblm et al. 2019). However, artificial intelligence is a tool that serves humans by simulating human intelligence and inputting human instructions in the form of data. Boulay B D believes that “artificial intelligence without reasoning” and “artificial intelligence without expression”. There is also a diametrically opposed view in the academic community that the continuous development of artificial intelligence will bring disasters to mankind (Boulay, 2016). For example, Hawking once delivered a speech in Beijing, claiming to be alert to the threat of artificial intelligence to mankind. However, human society will not cause the collapse of the entire society because of any technological revolution. Artificial intelligence may bring a series of problems to society.

Complete Article List

Search this Journal:
Reset
Volume 32: 1 Issue (2024)
Volume 31: 9 Issues (2023)
Volume 30: 12 Issues (2022)
Volume 29: 6 Issues (2021)
Volume 28: 4 Issues (2020)
Volume 27: 4 Issues (2019)
Volume 26: 4 Issues (2018)
Volume 25: 4 Issues (2017)
Volume 24: 4 Issues (2016)
Volume 23: 4 Issues (2015)
Volume 22: 4 Issues (2014)
Volume 21: 4 Issues (2013)
Volume 20: 4 Issues (2012)
Volume 19: 4 Issues (2011)
Volume 18: 4 Issues (2010)
Volume 17: 4 Issues (2009)
Volume 16: 4 Issues (2008)
Volume 15: 4 Issues (2007)
Volume 14: 4 Issues (2006)
Volume 13: 4 Issues (2005)
Volume 12: 4 Issues (2004)
Volume 11: 4 Issues (2003)
Volume 10: 4 Issues (2002)
Volume 9: 4 Issues (2001)
Volume 8: 4 Issues (2000)
Volume 7: 4 Issues (1999)
Volume 6: 4 Issues (1998)
Volume 5: 4 Issues (1997)
Volume 4: 4 Issues (1996)
Volume 3: 4 Issues (1995)
Volume 2: 4 Issues (1994)
Volume 1: 4 Issues (1993)
View Complete Journal Contents Listing