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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Bibliographic Details
Published inInternational journal of financial studies Vol. 13; no. 2; p. 87
Main Authors Sundarasen, Sheela, Saleem, Farida
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2025
Subjects
Analysis
Artificial intelligence
bibliometric analysis
Computational linguistics
Crypto-currencies
cryptocurrency
Digital currencies
Forecasts and trends
Investment analysis
Language processing
Machine learning
Musk, Elon
Natural language interfaces
Natural language processing
Online assets
Risk management
Securities trading
sentiment
Social media
Social networks
Twitter
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Summary: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.
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ISSN:2227-7072
2227-7072
DOI:10.3390/ijfs13020087