2019
DOI: 10.31219/osf.io/dqz89
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Identifying and Analyzing Cryptocurrency Manipulations in Social Media

Abstract: Interest surrounding cryptocurrencies, digital or virtual currencies that are used as a medium for financial transactions, has grown tremendously in recent years. The anonymity surrounding these currencies makes investors particularly susceptible to fraud-such as "pump and dump" scams-where the goal is to artificially inflate the perceived worth of a currency, luring victims into investing before the scammers can sell their holdings. Because of the speed and relative anonymity offered by social platforms such … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(14 citation statements)
references
References 31 publications
(26 reference statements)
0
12
0
Order By: Relevance
“…Kamps and Kleinberg (2018), in turn, use market data to identify suspicious pump and dump based on sudden jumps in prices and transaction volumes. Mirtaheri et al (2019) use data collected from Twitter about cryptocurrencies for these purposes, cross-linked with the pump signal data from Telegram and market data.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Kamps and Kleinberg (2018), in turn, use market data to identify suspicious pump and dump based on sudden jumps in prices and transaction volumes. Mirtaheri et al (2019) use data collected from Twitter about cryptocurrencies for these purposes, cross-linked with the pump signal data from Telegram and market data.…”
Section: Resultsmentioning
confidence: 99%
“…Notably, in their work Mirtaheri et al (2019) revealed the automation of tweets used in manipulations. In this aspect, the experience conducted by Krafft et al ( 2018) is also interesting.…”
Section: Resultsmentioning
confidence: 99%
“…This result is even more significant if we consider that we retrieved channels starting from generic invite links occurring in cryptocurrency-related tweets. Despite avoiding to bias our data crawling by starting from a known seed of deceptive channels, as done in other works [9], [14], we still end up with a remarkable number of deceitful channels. Moreover, Twitter botnets emerge as the main vehicle for spreading pump-and-dump invites.…”
Section: Zooming Out To the General Frameworkmentioning
confidence: 99%
“…Content may change prior to final publication. [13] Telegram comprehensive pnd Mirtaheri et al [14] Telegram comprehensive pnd Hamrick et al [15] Telegram, Discord comprehensive pnd Glenski et al [16] Reddit Bitcoin, Ethereum, Monero -Kim et al [17] Forum Bitcoin, Ethereum, Ripple -Kim et al [18] Forum Bitcoin -Vasek et al [19] Forum Bitcoin Ponzi Bartoletti et al [20] Reddit, Forum Bitcoin Ponzi Linton et al [21] Forum comprehensive -…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation