EconPapers    
Economics at your fingertips  
 

Twitter & bitcoin: are the most influential accounts really influential?

Serda Selin Öztürk and M. Emre Bilgiç

Applied Economics Letters, 2022, vol. 29, issue 11, 1001-1004

Abstract: There is a vast amount of information flow in social media about bitcoin, which may affect investors’ decisions. This article investigates whether tweets may affect returns or trade volume changes of bitcoin and, more importantly, whether some Twitter accounts are more influential than other Twitter accounts. We conduct two separate analyses based first on all Twitter accounts and then on the most influential 50 Twitter accounts, which have been selected as such by Unitedtraders. We use the number of positive, negative and neutral tweets by Valence Aware Dictionary and Sentiment Reasoner (VADER) in a logistic model to analyse if tweets have any valuable information about the change in both return and trade volume of bitcoin. Our results indicate that tweets can be used to predict bitcoin returns. Notably, the most influential accounts are the drivers of returns, but all Twitter accounts simply introduce some noise in volatility. This result indicates that following only these 50 most influential accounts may provide the information needed for investors.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2021.1904104 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:29:y:2022:i:11:p:1001-1004

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2021.1904104

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apeclt:v:29:y:2022:i:11:p:1001-1004