The metaverse: analyzing public sentiment and engagement in an emerging digital frontier
DOI:
https://doi.org/10.56294/mr2024120Keywords:
Metaverse, Artificial Intelligence, Sentiment analysisAbstract
Introduction; The introduction highlights the growing global interest in the metaverse, which is characterized by immersive digital environments where users can interact in various ways. This trend is becoming increasingly relevant in the context of urban development and management.
Objective; The dataset contains key metadata about the users, including their name, location, profile description, account creation date, follower count, and verification status.
Method; This dataset provides a valuable resource for analyzing public sentiment, engagement patterns, and trending topics related to the Metaverse. The dataset can be leveraged to study user behavior, geographical distribution, and the role of verified accounts in shaping discussions.
Result; This dataset serves as a crucial asset for researchers, marketers, and developers interested in understanding the dynamics of social media conversations about the Metaverse.
Conclusion; As the Metaverse continues to develop, understanding public sentiment, engagement, and trends will be crucial for businesses, developers, and regulators. By employing sophisticated analytical techniques, stakeholders can navigate this digital frontier effectively, optimizing user experiences and capitalizing on new opportunities.
References
1. Haque MA, Rahman M, Faizanuddin M, Anwar D. Educational Horizons of the Metaverse: Vision, Opportunities, and Challenges. Metaverse Basic and Applied Research 2024; 3: 60-60.
2. Sun J, Gan W, Chen Z, Li J, Yu PS. Big data meets metaverse: A survey. arXiv Prepr arXiv221016282. 2022;
3. Prakash A, Haque A, Islam F, Sonal D. Exploring the Potential of Metaverse for Higher Education: Opportunities, Challenges, and Implications. Metaverse Basic Appl Res [Internet]. 2023 Apr 26;2(SE-Reviews):40. Available from: https://mr.saludcyt.ar/index.php/mr/article/view/40
4. Haque MA, Ahmad S, Abboud AJ, Hossain MA, Kumar K, Haque S, et al. 6G wireless Communication Networks: Challenges and Potential Solution. Int J Bus Data Commun Netw. 2024;19(1):1–27.
5. Kumar D, Haque A, Mishra K, Islam F, Mishra BK, Ahmad S. Exploring the Transformative Role of Artificial Intelligence and Metaverse in Education: A Comprehensive Review. Metaverse Basic Appl Res. 2023;2:55.
6. Haque MA, Haque S, Zeba S, Kumar K, Ahmad S, Rahman M, et al. Sustainable and efficient E-learning internet of things system through blockchain technology. E-Learning Digit Media [Internet]. 2023;0(0):1–20. Available from: https://journals.sagepub.com/doi/abs/10.1177/20427530231156711
7. Mystakidis S. Metaverse. Encyclopedia. 2022;2(1):486–97.
8. Zeba S, Haque MA, Alhazmi S, Haque S. Advanced Topics in Machine Learning. Mach Learn Methods Eng Appl Dev. 2022;197.
9. Whig V, Othman B, Gehlot A, Haque MA, Qamar S, Singh J. An Empirical Analysis of Artificial Intelligence (AI) as a Growth Engine for the Healthcare Sector. In: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE; 2022. p. 2454–7.
10. Peng Y, Chen C, Huang G. 2024 IEEE International Conference on Robotics and Automation (ICRA). 2024;
11. Burton SL. Advancements in AI-Driven Education: Transforming Learning and Training with Intelligent Technologies. World J Bus Res. 2024;4(1):9.
12. Wang X, Guo Q, Ning Z, Guo L, Wang G, Gao X, et al. Integration of sensing, communication, and computing for metaverse: A survey. ACM Comput Surv. 2024;56(10):1–38.
13. Hatami M, Qu Q, Chen Y, Kholidy H, Blasch E, Ardiles-Cruz E. A Survey of the Real-Time Metaverse: Challenges and Opportunities. Futur Internet. 2024;16(10):379.
14. Kim M, Adlof L. Adapting to the future: ChatGPT as a means for supporting constructivist learning environments. TechTrends. 2024;68(1):37–46.
15. Metaverse [Internet]. Available from: https://www.kaggle.com/datasets/fahaddevelops/metaverse.
Published
Issue
Section
License
Copyright (c) 2024 Rajesh Kumar Mahto, Manisha Prasad, Kiran Dubey (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.