How Will Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented?
DOI:
https://doi.org/10.47672/ejt.631Abstract
Innovation is surpassing our desires. Different AI-based instruments are created and help advertisers focus on perfect clients via web-based media at the ideal time.
Purpose: the purpose of the study is to link the Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented.
Methodology: Surveys and qualitative methodologies were utilized to build up the theoretical perspective on A.I.'s effects on advancement across various foundations and social areas on the planet's economies. All the users of face book were population for the current study. Convenient sampling was the technique to access the sample. Focus groups and academic centres, and governmental institutions were likewise fused in acquiring valuable data on the effects of being knowledgeable about all the fields of advancement through A.I. innovations on social media.
Findings: Most interviewees reacted emphatically about using technologically advanced tools and disseminating information in modern applications on social media. Advancement in A.I. innovations in the social media services expanded creation periods in the viral news than anticipated from a man if they needed to access vital information at every interval without an aspect of delay.
Contribution: The future will be A.I. empowered and less miss-information. Tis paper do not generally know how soon or in what ways these dreams of the AI-empowered future will turn into a reality, yet even the most easygoing of eyewitnesses can see that these are unavoidable patterns. The one sure thing is that it is coming, and this paper now travelling toward that path.
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References
Boobier, T. (2018). Advanced analytics and A.I.: impact, implementation, and the future of work. John Wiley & Sons. https://books.google.com/books?hl=en&lr=&id=Z6RUDwAAQBAJ&oi=fnd&pg=PR11&dq=expectations+of+future+AI+impacts+on+social+media&ots=S46pAoSyT1&sig=b7tUH99H-wjY1TuhtVX59nsZN6Y
Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A. E., & Codignola, F. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users' expectations. Technological Forecasting and Social Change, 151, 119794. https://www.sciencedirect.com/science/article/pii/S0040162519310613
Chesñevar, C., Maguitman, A., Estevez, E., & Brena, R. (2012). Integrating argumentation technologies and context-based search for intelligent processing of citizens' opinion in social media. In Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance (pp. 166-170). https://dl.acm.org/doi/abs/10.1145/2463728.2463762
Donepudi, P. K. (2019). Automation and machine learning in transforming the financial industry. Asian business review, 9 (3), pages 129-138. https://doi.org/10.18034/abr.v9i3.494
Donepudi, P. K. (2016). Influence of cloud computing in business: are they robust? Asian journal of applied science and engineering, 5(3). 193-196. http://doi.org/10.5281/zenodo.4110309
Fast, E., & Horvitz, E. (2016). Long-term trends in the public perception of artificial intelligence. arXiv preprint arXiv:1609.04904. https://arxiv.org/abs/1609.04904
Khamis, S., Ang, L., & Welling, R. (2017). Self-branding, 'micro-celebrity and the rise of Social Media Influencers. Celebrity Studies, 8(2), 191-208. https://www.tandfonline.com/doi/abs/10.1080/19392397.2016.1218292
Uzunoğlu, E., & Kip, S. M. (2014). Brand communication through digital influencers: Leveraging blogger engagement. International Journal of Information Management, 34(5), 592-602. https://www.sciencedirect.com/science/article/pii/S0268401214000450
Tulin, M., Pollet, T.V., Lehmann-Willenbrock, N. (2018). Perceived group cohesion versus actual social structure: A study using social network analysis of egocentric Facebook networks. Soc. Sci. Res. 2018, 74, 161–175
Yang, K. C., Varol, O., Davis, C. A., Ferrara, E., Flammini, A., & Menczer, F. (2019). Arming the public with artificial intelligence to counter social bots. Human Behavior and Emerging Technologies, 1(1), 48-61. https://onlinelibrary.wiley.com/doi/abs/10.1002/hbe2.115
Zeng, D., Chen, H., Lusch, R., & Li, S. H. (2010). Social media analytics and intelligence. IEEE Intelligent Systems, 25(6), 13-16. https://ieeexplore.ieee.org/abstract/document/5678581/
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