Author(s)

Jin Lu¹, Ji Li^2*

Affiliation(s)

¹Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic University, Shenzhen 518000, Guangdong, China.

²Research Management Office, Shenzhen Polytechnic University, Shenzhen 518000, Guangdong, China.

Corresponding Author

Ji Li

ABSTRACT

With the rapid development of information technology, digital media has become an important part of people's daily lives. From social media to online shopping, from cloud computing to artificial intelligence, digital media not only greatly enriches people's lifestyles, but also brings unprecedented data privacy protection challenges. In particular, the wide application of computational big models (e.g., deep learning models, natural language processing models, etc.) has further exacerbated the complexity of data privacy protection. This paper aims to explore the privacy protection mechanism of digital media based on computational big models and analyse the resulting problematic use behaviour, with a view to providing references for research and practice in related fields, delving into the development of the convergence of computational big models and digital media, analyzing the manifestation of problematic use behaviors and privacy issues in digital media, exploring the challenges and countermeasures to prevent the privacy issues, and presenting the challenges and countermeasures to prevent privacy issues in digital media privacy protection mechanism under the computational big model. Successful privacy protection experiences and lessons of problematic use behaviors leading to privacy issues are summarized through case studies. Finally, the research results are summarized and future trends and research directions are outlined.

KEYWORDS

Big model; Privacy protection mechanisms; Usage behaviour; Digital media

CITE THIS PAPER

Jin Lu, Ji Li. Computational big model-based study of privacy protection mechanisms and problematic usage behaviour in digital media. Journal of Computer Science and Electrical Engineering. 2024, 6(3): 44-51. DOI: 10.61784/jcsee3018.

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