References
[1]. Luo, C., Chen, A., Cui, B., & Liao, W. (2021). Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics, 65, 101712.
[2]. Weismueller, J., Harrigan, P., Coussement, K., & Tessitore, T. (2022). What makes people share political content on social media? The role of emotion, authority and ideology. Computers in Human Behavior, 129, 107150.
[3]. Bennett, W. L., & Livingston, S. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European journal of communication, 33(2), 122-139.
[4]. Noble, S. U. (2018). Algorithms of oppression. In Algorithms of oppression. New York University Press.
[5]. Ortega-Mendoza, R. M., Hernández-Farías, D. I., Montes-y-Gómez, M., & Villaseñor-Pineda, L. (2022). Revealing traces of depression through personal statements analysis in social media. Artificial Intelligence in Medicine, 123, 102202.
[6]. Teng, T., Li, H., Fang, Y., & Shen, L. (2022). Understanding the differential effectiveness of marketer versus user-generated advertisements in closed social networking sites: An empirical study of WeChat. Internet Research.
[7]. Yadav, M. L., & Roychoudhury, B. (2019). Effect of trip mode on opinion about hotel aspects: A social media analysis approach. International Journal of Hospitality Management, 80, 155-165.
[8]. Islam, T., Kundu, A., Lima, R. J., Hena, M. H., Sharif, O., Rahman, A., & Hasan, M. Z. (2023). 5 Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches. Computational Statistical Methodologies and Modeling for Artificial Intelligence.
[9]. Kuchler, T., Russel, D., & Stroebel, J. (2022). JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook. Journal of Urban Economics, 127, 103314.
[10]. Wang, C. (2020). Why TikTok made its user so obsessive? The AI Algorithm that got you hooked. Towards Data Science.
[11]. Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing science, 48(1), 79-95.
[12]. Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169.
[13]. Engin, Z., & Treleaven, P. (2019). Algorithmic government: Automating public services and supporting civil servants in using data science technologies. The Computer Journal, 62(3), 448-460.
[14]. Di Minin, E., Fink, C., Hausmann, A., Kremer, J., & Kulkarni, R. (2021). How to address data privacy concerns when using social media data in conservation science. Conservation Biology, 35(2), 437-446.
[15]. Simon Kemp. (2022). DIGITAL 2022: GLOBAL OVERVIEW REPORT. https://datareportal.com/reports/digital-2022-global-overview-report.
[16]. Regan, P. M., & Jesse, J. (2019). Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology, 21, 167-179.
[17]. Ofli, F., Alam, F., & Imran, M. (2020). Analysis of social media data using multimodal deep learning for disaster response. arXiv preprint arXiv:2004.11838.
[18]. Sarker, I. H., Hoque, M. M., Uddin, M. K., & Alsanoosy, T. (2021). Mobile data science and intelligent apps: concepts, AI-based modeling and research directions. Mobile Networks and Applications, 26, 285-303.
Cite this article
Sun,Q.;Liu,L. (2023). Revolutionizing social media: The applications and implications of big data analytics. Applied and Computational Engineering,19,170-177.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Luo, C., Chen, A., Cui, B., & Liao, W. (2021). Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics, 65, 101712.
[2]. Weismueller, J., Harrigan, P., Coussement, K., & Tessitore, T. (2022). What makes people share political content on social media? The role of emotion, authority and ideology. Computers in Human Behavior, 129, 107150.
[3]. Bennett, W. L., & Livingston, S. (2018). The disinformation order: Disruptive communication and the decline of democratic institutions. European journal of communication, 33(2), 122-139.
[4]. Noble, S. U. (2018). Algorithms of oppression. In Algorithms of oppression. New York University Press.
[5]. Ortega-Mendoza, R. M., Hernández-Farías, D. I., Montes-y-Gómez, M., & Villaseñor-Pineda, L. (2022). Revealing traces of depression through personal statements analysis in social media. Artificial Intelligence in Medicine, 123, 102202.
[6]. Teng, T., Li, H., Fang, Y., & Shen, L. (2022). Understanding the differential effectiveness of marketer versus user-generated advertisements in closed social networking sites: An empirical study of WeChat. Internet Research.
[7]. Yadav, M. L., & Roychoudhury, B. (2019). Effect of trip mode on opinion about hotel aspects: A social media analysis approach. International Journal of Hospitality Management, 80, 155-165.
[8]. Islam, T., Kundu, A., Lima, R. J., Hena, M. H., Sharif, O., Rahman, A., & Hasan, M. Z. (2023). 5 Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches. Computational Statistical Methodologies and Modeling for Artificial Intelligence.
[9]. Kuchler, T., Russel, D., & Stroebel, J. (2022). JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook. Journal of Urban Economics, 127, 103314.
[10]. Wang, C. (2020). Why TikTok made its user so obsessive? The AI Algorithm that got you hooked. Towards Data Science.
[11]. Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing science, 48(1), 79-95.
[12]. Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169.
[13]. Engin, Z., & Treleaven, P. (2019). Algorithmic government: Automating public services and supporting civil servants in using data science technologies. The Computer Journal, 62(3), 448-460.
[14]. Di Minin, E., Fink, C., Hausmann, A., Kremer, J., & Kulkarni, R. (2021). How to address data privacy concerns when using social media data in conservation science. Conservation Biology, 35(2), 437-446.
[15]. Simon Kemp. (2022). DIGITAL 2022: GLOBAL OVERVIEW REPORT. https://datareportal.com/reports/digital-2022-global-overview-report.
[16]. Regan, P. M., & Jesse, J. (2019). Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology, 21, 167-179.
[17]. Ofli, F., Alam, F., & Imran, M. (2020). Analysis of social media data using multimodal deep learning for disaster response. arXiv preprint arXiv:2004.11838.
[18]. Sarker, I. H., Hoque, M. M., Uddin, M. K., & Alsanoosy, T. (2021). Mobile data science and intelligent apps: concepts, AI-based modeling and research directions. Mobile Networks and Applications, 26, 285-303.