Exploring the potential of Dogecoin promoted by Elon Musk





Dogecoin, blockchain, Cryptocurrency, market dynamics, Elon musk


Elon Musk's promotion of Dogecoin has generated significant interest and speculation in the cryptocurrency market. This paper explores the potential impact of Musk's endorsements on Dogecoin's value, adoption, and cultural significance. Drawing from an analysis of market trends, social media activity, and investor behavior, the paper examines how Musk's tweets and public statements have influenced Dogecoin's price volatility and trading volume. Additionally, it considers the broader implications of celebrity endorsements for cryptocurrency markets, including regulatory scrutiny and investor sentiment. By shedding light on the dynamics of Musk's promotion of Dogecoin, this paper contributes to a better understanding of the interplay between celebrity influence and cryptocurrency market dynamics.


A. Singla and M. Gupta, “9NFTMANIA: BRIDGING NFT ART AND DIGITAL CURRENCY WITH 9NM TOKENS”, SJMBT, vol. 2, no. 1, pp. 1–6, Feb. 2024.

M. Gupta, “Love in the Blockchain: Unique NFT Gifts for Lovers”, SJMBT, vol. 2, no. 1, pp. 7–12, Feb. 2024.

Singla, A., & Gupta, M. (2024). Shaping the Digital Renaissance: The Impact of Glamorous NFT Collections. Scientific Journal of Metaverse and Blockchain Technologies, 2(1), 13–17. https://doi.org/10.36676/sjmbt.v2.i1.03

M. M. Bailey, “Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive Analysis,” pp. 1–12, 2022, [Online]. Available: http://arxiv.org/abs/2210.05760.

M. S. Akter, H. Shahriar, N. Ahmed, and A. Cuzzocrea, “Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data,” Proc. - 2022 IEEE Int. Conf. Big Data, Big Data 2022, pp. 5646–5655, 2022, doi 10.1109/BigData55660.2022.10020249.

B. Wei, J. Li, A. Gupta, H. Umair, A. Vovor, and N. Durzynski, “Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning,” 2021, [Online]. Available: http://arxiv.org/abs/2108.03305.

A. Wadhawan and A. Aggarwal, “Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach,” WASSA 2021 - Work. Comput.Approaches to Subj. Sentim.Soc.Media Anal. Proc. 11th Work., pp. 195–202, 2021.https://aclanthology.org/2021.wassa-1.21.

A. K. Chanda, Efficacy of BERT embeddings on predicting disaster from Twitter data, vol. 1, no. 1. Association for Computing Machinery, 2021.[Online]. Available: http://arxiv.org/abs/2108.10698.

N. A. Azeez, S. O. Idiakose, C. J. Onyema, and C. Van Der Vyver, “Cyberbullying Detection in Social Networks: Artificial Intelligence Approach,” J. Cyber Secure. Mobil., vol. 10, no. 4, pp. 745–774, 2021, doi: 10.13052/jcsm2245-1439.1046.

D. Antonakaki, P. Fragopoulou, and S. Ioannidis, “A survey of Twitter research: Data model, graph structure, sentiment analysis, and attacks,” Expert Syst. Appl., vol. 164, no. September 2020, p. 114006, 2021, doi: 10.1016/j.eswa.2020.114006.

K. N. Alamet al., “Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data,” Comput.Math. Methods Med., vol. 2021, 2021, doi: 10.1155/2021/4321131.

C. Zhang, B. Wilkinson, A. Ganesan, and T. Oates, “Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter,” 2019, doi: 10.1145/3306195.3306199.

V. Sivasangari, A. K. Mohan, K. Suthendran, and M. Sethumadhavan, “Isolating rumors using sentiment analysis,” J. Cyber Secure.Mobil., vol. 7, no. 1, pp. 181–200, 2018, doi: 10.13052/jcsm2245-1439.7113.

Gupta, M., Gupta, D., & Duggal, A. (2023). NFT Culture: A New Era. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 57–62. https://doi.org/10.36676/sjmbt.v1i1.08

M. Gupta, “Reviewing the Relationship Between Blockchain and NFT With World Famous NFT Market Places”, SJMBT, vol. 1, no. 1, pp. 1–8, Dec. 2023.

R. Gupta, M. Gupta, and D. Gupta, “Role of Liquidity Pool in Stabilizing Value of Token”, SJMBT, vol. 1, no. 1, pp. 9–17, Dec. 2023.

M. GUPTA and D. Gupta, “Investigating Role of Blockchain in Making your Greetings Valuable”, URR, vol. 10, no. 4, pp. 69–74, Dec. 2023.

R. Issalh, A. Gupta, and M. Gupta, “PI NETWORK : A REVOLUTION”, SJMBT, vol. 1, no. 1, pp. 18–27, Dec. 2023.

A. Duggal, M. Gupta, and D. Gupta, “SIGNIFICANCE OF NFT AVTAARS IN METAVERSE AND THEIR PROMOTION: CASE STUDY”, SJMBT, vol. 1, no. 1, pp. 28–36, Dec. 2023.

M. Gupta, “Say No to Speculation in Crypto market during NFT trades: Technical and Financial Guidelines”, SJMBT, vol. 1, no. 1, pp. 37–42, Dec. 2023.

A. Singla, M. Singla, and M. Gupta, “Unpacking the Impact of Bitcoin Halving on the Crypto Market: Benefits and Limitations”, SJMBT, vol. 1, no. 1, pp. 43–50, Dec. 2023.


D. Gupta and S. Gupta, “Exploring world famous NFT Scripts: A Global Discovery”, SJMBT, vol. 1, no. 1, pp. 63–71, Dec. 2023.



DOI: 10.36676/sjmbt.v2.i1.06
Published: 2024-02-29

How to Cite

Arun Singla, & Mandeep Gupta. (2024). Exploring the potential of Dogecoin promoted by Elon Musk. Scientific Journal of Metaverse and Blockchain Technologies, 2(1), 35–43. https://doi.org/10.36676/sjmbt.v2.i1.06



Original Research Articles


Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.