Abstract
This paper is studying distinct social media platforms and their ups and downs. This paper calculates the different questionnaire on different ways about social media is destroying today’s brilliant minds. Networking sites like Facebook, Twitter and so on put off students from their studies. Even though there is a loss of security and well-being, students tend to invest more time on social media. Social networking opens doors for interacting with friends, classmates and individuals with a common intrigue. Today, the principle point of the student ought to be education and their career. But they tend to lean towards social media more. That implies a decreased focus on learning and holding information. Technology is booming at a rapid rate, and the younger generations are the ones trapped in this rapid reform. For research methodology, questionnaires were distributed through email groups, to find out the various findings and to check whether student’s well-being and academic performance are impacted by social media or not. The study also focuses on the frequency of audience on various social media platforms.
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References
Edosomwan S, Prakasan SK, Kouame D, Watson J, Seymour T (2011) The history of social media and its impact on business. J Appl Manag Entrepreneurship 16:79–91
Gerpott TJ, Thomas S (2014) Empirical research on mobile internet usage: a meta-analysis of the literature. Telecommun Policy 38(3):291–310. ISSN s0308-5961. https://doi.org/10.1016/j.telpol.2013.10.003. http://www.sciencedirect.com/science/article/pii/S0308596113001754
Dewan S, Ramaprasad J (2014) Social media, traditional media, and music sales. MIS Q 38(1):101–121
https://www.statista.com/statistics/617136/digital-population-worldwide/
https://www.statista.com/topics/1145/internet-usage-worldwide/
Grizane T, Jurgelane-Kaldava I (2017) Social media impact on business evaluation. Procedia Comput Sci 104:190–196. https://doi.org/10.1016/j.procs.2017.01.103
Bansal P, Aggarwal B, Tomar R (2019) Low-voltage multi-input high trans-conductance amplifier using flipped voltage follower and its application in high pass filter. In: 2019 International conference on automation, computational and technology management (ICACTM), pp 525–529. https://doi.org/10.1109/ICACTM.2019.8776789
Pourkhani A, Abdipour K, Baher B, Moslehpour M (2019) The impact of social media in business growth and performance: a scientometrics analysis. Int J Data Network Sci 223–244. https://doi.org/10.5267/j.ijdns.2019.2.003
Das R, Patel M (2017) Cyber security for social networking sites: issues, challenges and solutions. Int J Res Appl Sci Eng Technol V:833–838. https://doi.org/10.22214/ijraset.2017.4153
Kumar S, Gaur MS (2020) Call admission control in mobile multimedia network using grey wolf optimization. In: Solanki V, Hoang M, Lu Z, Pattnaik P (eds) Intelligent computing in engineering. Advances in intelligent systems and computing, vol 1125. Springer, Singapore. https://doi.org/10.1007/978-981-15-2780-7_27
Anuj Kumar Y, Tomar R, Kumar D, Gupta H (2012) Security and privacy concerns in cloud computing. Int J Adv Res Comput Sci Softw Eng 2(5)
Kumar S, Gaur MS (2019) Handoff prioritization to manage call admission control in mobile multimedia networks for healthcare. In: 2019 10th International conference on computing, communication and networking technologies (ICCCNT), Kanpur, India, pp 1–7. https://doi.org/10.1109/ICCCNT45670.2019.8944618
Kumar S, Kumar K (2019) Neuro-fuzzy based call admission control for next generation mobile multimedia networks. Int J Eng Adv Technol (IJEAT) 8(6). ISSN: 2249-8958
Narang S, Nalwa T, Choudhury T, Kashyap N (2018) An efficient method for security measurement in internet of things. In: 2018 International conference on communication, computing and internet of things (IC3IoT), pp 319–323. https://doi.org/10.1109/IC3IoT.2018.8668159
Gerlach J, Widjaja T, Buxmann P (2015) Handle with care: how online social network providers’ privacy policies impact users’ information sharing behaviour. J Strateg Inf Syst 24(1):33–43
Dhamija J, Choudhury T, Kumar P, Rathore YS (2017) An advancement towards efficient face recognition using live video feed: “for the future”. In: 2017 3rd International conference on computational intelligence and networks (CINE), pp 53–56. https://doi.org/10.1109/CINE.2017.21
Al Alwan A, Rana NP, Dwivedi YK, Algharabat R (2017) Social media in marketing: a review and analysis of the existing literature. Telematics Inform. Available at http://www.sciencedirect.com/science/article/pii/S0736585317301077
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Mishra, A., Kumar Varun, N., Srivastava, S., Pandey, A.K., Kumar, L., Choudhury, T. (2022). The Mutation Study of Social Media in Student’s Life. In: Skala, V., Singh, T.P., Choudhury, T., Tomar, R., Abul Bashar, M. (eds) Machine Intelligence and Data Science Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-19-2347-0_66
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