Abstract
In recent days, the metaverse which is defined as virtual-reality space in which people can interact with each other in a computer-generated environment, has attracted people’s attention. People have posted their opinions about the metaverse on social media platforms. Twitter is one of those platforms in which people have tweeted about the metaverse. Tweets help researchers to understand public attitudes on a subject. This research focuses on two analyses: The first one used sentiment analysis on Turkish tweets about various alternative words of the metaverse, such as karma evren, misal evren, ote evren, sahte dunya, sanal evren and internet otesi. The second focus of our research was on an analysis of a questionnaire that aimed to understand whether people are aware of the metaverse and willing to experience it or not. The result of sentiment analysis showed that the most of the collected tweets were positive about the collected tweets. The questionnaire analysis showed that the majority of participants were aware of the metaverse and would like to experience that virtual space
References
- Akkuzu Kaya, G. Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data . International Journal of Multidisciplinary Studies and Innovative Technologies , 5 (2) , 167-172 . (2021)
- Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161). (2021).
Abstract
References
- Akkuzu Kaya, G. Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data . International Journal of Multidisciplinary Studies and Innovative Technologies , 5 (2) , 167-172 . (2021)
- Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161). (2021).
Details
| Primary Language | English |
|---|---|
| Subjects | Software Engineering, Computer Software |
| Journal Section | Articles |
| Authors | |
| Publication Date | August 31, 2022 |
| Submission Date | March 15, 2022 |
| Acceptance Date | June 7, 2022 |
| Published in Issue | Year 2022Volume: 5 Issue: 2 |
Cited By
An Effective 3D Text Recurrent Voting Generator for Metaverse
IEEE Transactions on Affective Computing
https://doi.org/10.1109/TAFFC.2022.3216782
Sakarya University Journal of Computer and Information Sciences in Applied Sciences and Engineering: An interdisciplinary journal of information science