From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency
The rise of social media has significantly influenced the cryptocurrency market, driving volatility through sentiment-driven trading. This study employs a bibliometric and content analysis approach to examine how social media, particularly Twitter, impacts cryptocurrency price movements. Using the b...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | International Journal of Financial Studies |
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| Online Access: | https://www.mdpi.com/2227-7072/13/2/87 |
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| author | Sheela Sundarasen Farida Saleem |
| author_facet | Sheela Sundarasen Farida Saleem |
| author_sort | Sheela Sundarasen |
| collection | DOAJ |
| description | The rise of social media has significantly influenced the cryptocurrency market, driving volatility through sentiment-driven trading. This study employs a bibliometric and content analysis approach to examine how social media, particularly Twitter, impacts cryptocurrency price movements. Using the bibliometric analysis, 151 peer-reviewed articles published between 2018 and 2024 were analyzed to identify key research trends, themes, and potential future research. This study finds that social media sentiment plays a crucial role in cryptocurrency price forecasting, with machine learning and natural language processing (NLP) techniques enhancing prediction accuracy. Thematic analysis reveals four primary areas of focus: sentiment analysis and market prediction, machine learning-driven algorithmic trading, blockchain investment risks, and influencer-driven market behavior. This study contributes to the field by consolidating existing social media sentiment and cryptocurrency valuation knowledge, offering insights to investors, regulators, and academics. It highlights the need for future research to integrate multi-platform sentiment analysis, regulatory considerations, and behavioral finance perspectives. These insights are vital for understanding the evolving landscape of digital asset markets and their susceptibility to sentiment-driven speculation. |
| format | Article |
| id | doaj-art-3c51a91b7d2f4c57bbb0ee929b7c2fc3 |
| institution | Matheson Library |
| issn | 2227-7072 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Financial Studies |
| spelling | doaj-art-3c51a91b7d2f4c57bbb0ee929b7c2fc32025-06-25T13:56:41ZengMDPI AGInternational Journal of Financial Studies2227-70722025-05-011328710.3390/ijfs13020087From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on CryptocurrencySheela Sundarasen0Farida Saleem1Department of Accounting, Prince Sultan University, P.O. Box No. 66833, Rafha Street, Riyadh 11586, Saudi ArabiaManagement Department, Prince Sultan University, P.O. Box No. 66833, Rafha Street, Riyadh 11586, Saudi ArabiaThe rise of social media has significantly influenced the cryptocurrency market, driving volatility through sentiment-driven trading. This study employs a bibliometric and content analysis approach to examine how social media, particularly Twitter, impacts cryptocurrency price movements. Using the bibliometric analysis, 151 peer-reviewed articles published between 2018 and 2024 were analyzed to identify key research trends, themes, and potential future research. This study finds that social media sentiment plays a crucial role in cryptocurrency price forecasting, with machine learning and natural language processing (NLP) techniques enhancing prediction accuracy. Thematic analysis reveals four primary areas of focus: sentiment analysis and market prediction, machine learning-driven algorithmic trading, blockchain investment risks, and influencer-driven market behavior. This study contributes to the field by consolidating existing social media sentiment and cryptocurrency valuation knowledge, offering insights to investors, regulators, and academics. It highlights the need for future research to integrate multi-platform sentiment analysis, regulatory considerations, and behavioral finance perspectives. These insights are vital for understanding the evolving landscape of digital asset markets and their susceptibility to sentiment-driven speculation.https://www.mdpi.com/2227-7072/13/2/87cryptocurrencysocial mediasentimentbibliometric analysisTwitter |
| spellingShingle | Sheela Sundarasen Farida Saleem From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency International Journal of Financial Studies cryptocurrency social media sentiment bibliometric analysis |
| title | From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency |
| title_full | From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency |
| title_fullStr | From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency |
| title_full_unstemmed | From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency |
| title_short | From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency |
| title_sort | from tweets to trades a bibliometric and systematic review of social media s influence on cryptocurrency |
| topic | cryptocurrency social media sentiment bibliometric analysis |
| url | https://www.mdpi.com/2227-7072/13/2/87 |
| work_keys_str_mv | AT sheelasundarasen fromtweetstotradesabibliometricandsystematicreviewofsocialmediasinfluenceoncryptocurrency AT faridasaleem fromtweetstotradesabibliometricandsystematicreviewofsocialmediasinfluenceoncryptocurrency |