2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2021
DOI: 10.1109/icbc51069.2021.9461147
|View full text |Cite
|
Sign up to set email alerts
|

Detecting Text Reuse in Cryptocurrency Whitepapers

Abstract: Thousands of new cryptocurrencies have been introduced in recent years. Most are introduced with a so-called "whitepaper" containing a mix of technical documentation, legal boilerplate and marketing material. Notably, many proposed currencies reuse text from previous established cryptocurrencies. We analyze the whitepapers from 1 260 actively traded cryptocurrencies and 2 039 ICOs. We develop two measures of similarity. Moderately similar papers reuse text in a portion of the paper, often the legal disclaimers… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3
1
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…Our dataset includes schemes that provide details of their corresponding founders, proposed algorithms, and links to code in GitHub repositories. Many include this information in whitepapers, some of which turn out to be plagiarized [10]. For example, one project claims to provide a better consensus protocol.…”
Section: Qualitative Thematic Analysismentioning
confidence: 99%
“…Our dataset includes schemes that provide details of their corresponding founders, proposed algorithms, and links to code in GitHub repositories. Many include this information in whitepapers, some of which turn out to be plagiarized [10]. For example, one project claims to provide a better consensus protocol.…”
Section: Qualitative Thematic Analysismentioning
confidence: 99%
“…The outcomes indicate a correlation between high informational content, or uniqueness, and success metrics such as fundraising and post-ICO market values. Separately, Morin et al (2021) investigate text similarity across white papers using three metrics: TF-IDF, cosine similarity, and pairwise similarity. Their findings reveal that 19% of ICO white papers exhibit high similarity to previously published ones.…”
Section: Nlp and Ico White Papersmentioning
confidence: 99%
“…Their survey includes research of cryptojacking attacks, HYIPs, money laundering, pump and dump schemes and ransomware. Morin et al [31] analyse plagiarism in cryptocurrency whitepapers and find an increased level of plagiarism in newly introduced ICOs, 19% compared to 4% of actively traded coins. Trozze et al [32] also provide a systematic literature survey of cryptocurrency-related crime research along with opinions from specialists in this matter.…”
Section: Related Workmentioning
confidence: 99%