Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions

Chousein, Zeynep; Tetik, Haci Yakup; Sağlam, Rahime Belen; Bulbul, Abdullah; Li, Shujun

doi:10.1145/3433174.3433587

13th International Conference on Security of Information and Networks 2020

DOI: 10.1145/3433174.3433587

|View full text |Cite

Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions

Zeynep Chousein

Haci Yakup Tetik

Rahime Belen Sağlam

et al.

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 6 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Zhuo,

Irresberger,

Bostandzic

2024

Financ Innov

View full text Add to dashboard Cite

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.

show abstract

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

Zhuo,

Irresberger,

Bostandzic

2024

Financ Innov

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 1 publication

References 6 publications

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

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

Contact Info

Product

Resources

About