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How are texts analyzed in blockchain research? A systematic literature review

Financial innovation (Heidelberg), 2024-12, Vol.10 (1), p.60-35 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2199-4730 ;DOI: 10.1186/s40854-023-00501-6

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  • Title:
    How are texts analyzed in blockchain research? A systematic literature review
  • Author: Zhuo, Xian ; Irresberger, Felix ; Bostandzic, Denefa
  • Subjects: Blockchain ; Economics ; Economics and Finance ; Literature reviews ; Machine learning algorithm ; Macroeconomics/Monetary Economics//Financial Economics ; Political Economy/Economic Systems ; Review ; Sentiment analysis ; Systematic literature review ; Systematic review ; Text analysis ; Topic modeling ; User generated content
  • Is Part Of: Financial innovation (Heidelberg), 2024-12, Vol.10 (1), p.60-35
  • Description: This paper provides a systematic literature review of text analysis methodologies used in blockchain-related research to comprehend and synthesize existing studies across disciplines and define future research directions. We summarize the research scope, text data, and methodologies of 124 papers and identify the two most common combinations of these dimensions: (1) papers that focus on specific cryptocurrencies tend to apply sentiment analysis to instant user-generated content or news articles to discover the correlations between public opinion and market behavior, and (2) studies that examine the broad concept of blockchain with text data from documents published by companies tend to apply topic modeling techniques to explore classifications and trends in blockchain development. We discover five major research topics in the academic literature: relationship discovery, cryptocurrency performance prediction, classification and trend, crime and regulation, and perception of blockchain. Based on these findings, we highlight three potential research directions for researchers to select topics and implement suitable methodologies for text analysis.
  • Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
  • Language: English
  • Identifier: EISSN: 2199-4730
    DOI: 10.1186/s40854-023-00501-6
  • Source: Springer Nature OA/Free Journals
    Coronavirus Research Database
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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