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Review on the Social Media Management Techniques Against Kids Harmful Information

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Kids Cybersecurity Using Computational Intelligence Techniques

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1080))

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Abstract

The world is developing quickly, and new technological innovations are emerging like grotesque critters. Social media is one of the most powerful forces available to modern generation so, the ability of man to freely communicate his opinions on the internet cannot be ignored. The majority of people in our world are still unaware that social media is now considered to be not just something that adults use but also something that youngsters and kids must use. The information must then be screened to ensure that it doesn't negatively affect human cognition in any manner and to make the internet a safer place for everyone. People disseminate inaccurate information or inappropriate content to attract fans on various sites; they disseminate damaging information or improper material, such as violent photographs and videos, irrelevant or abusive material, sexual content, cyberbullying, etc. There are several methods available, some of which have been detailed below, to detect this hazardous material. Through several databases, information from earlier work in this field has been gathered to know the prior studies concerning this notion. Numerous techniques, including deep learning and machine learning algorithms, have been chosen as the finest alternatives. This chapter gives a review on the existing methods and the management’s tool on the kid’s cyber security and one may learn from this Chapter how to improve knowledge acquisition in the digital age. Finally, this Chapter examines the challenges that come up while endeavoring to detect the harmful information that has been affecting kids’ minds. And it would be helpful regarding the main concept of algorithm involved in content analysis in addition; this chapter will be beneficial to many researchers in area on kids’ cyber security.

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Authors and Affiliations

  1. Department of Business Management, Faculty of Finance and Business Administration, Al-Madinah International University, Kuala Lumpur, Malaysia

    Zakarya Mohsen Al-Hodiany

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  1. Zakarya Mohsen Al-Hodiany
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Correspondence to Zakarya Mohsen Al-Hodiany .

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Editors and Affiliations

  1. Computer Science Department, Taibah University, Madinah, Saudi Arabia

    Wael M. S. Yafooz

  2. University of Huddersfield, Huddersfield, UK

    Hussain Al-Aqrabi

  3. University Technology Malaysia(UTM), Skudai, Johor, Malaysia

    Arafat Al-Dhaqm

  4. Department of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia

    Abdelhamid Emara

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Al-Hodiany, Z.M. (2023). Review on the Social Media Management Techniques Against Kids Harmful Information. In: Yafooz, W.M.S., Al-Aqrabi, H., Al-Dhaqm, A., Emara, A. (eds) Kids Cybersecurity Using Computational Intelligence Techniques. Studies in Computational Intelligence, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-031-21199-7_4

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