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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.
Abstract: The paper informs about the digital legacy and its related concepts of posterity rights and digital memorabilia. It also deals with the right to exercise the digital posterity concerning the social networking profiles (SNP) on social networking sites (SNS). Digital Memorabilia is the compendium of people’s social profiles and the digital artifacts accumulated in the name of people in online or virtual world, it can give people an online space to connect to and be remembered online even after their demise, showing the many dimensions of their real world personality. The paper proposes a model using multiple logistic regression technique of machine learning to predict the users that will opt for a digital memorial dependent upon different factors such as age, frequency of using SNPs, awareness about digital assets and digital legacy, awareness about privacy rights concerning digital assets and awareness about rights to posterity.
Amit Sudan and Dr. Munish Sabharwal, “Digital Legacy: Posterity Rights Analysis and Proposed Model for Digital Memorabilia Adoption using Machine Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100512
@article{Sudan2019,
title = {Digital Legacy: Posterity Rights Analysis and Proposed Model for Digital Memorabilia Adoption using Machine Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100512},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100512},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Amit Sudan and Dr. Munish Sabharwal}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.