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  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20141

Kid Friendly Social Media

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20141

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TS

Trusha Sonawane

TK

Tanvi Kamtekar

YS

Yash Singh

SJ

Srushti Jadhav

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Abstract

Social media is a huge part of our lives, and it’s making a greater impact on kids than ever before. Social media can be a great way to connect with friends, but too much time spent on it can have negative effects. For example, there are risks of cyberbullying and other types of social media crimes. To reduce these dangers, we need AI and data analytics tools. These tools help us understand what our users are doing on social media and how that behaviour affects them. By using this information, we can make better decisions about how to manage our accounts. As we all know how important AI is in today’s time, but with AI even concepts like machine learning and data analytics have become a major part of today’s evolving time. Since technology is something that we can combine with any field, like school and technology providing smart gadgets that help children to enhance their wisdom. Social media is making a huge impact on kids, which is both good and bad. While it provides access to information and opportunities for education, it can also be dangerous when used inappropriately. AI can help us track down and prevent harmful behaviour on social media by analysing data from millions of users in order to predict who might commit a crime or abuse others.

KEYWORDS

AI Machine Learning Gadgets

Cite This Article

Trusha Sonawane, Tanvi Kamtekar, Yash Singh, Srushti Jadhav, "Kid Friendly Social Media," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM20141

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Publication Date

2/4/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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