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ScamCoins, S*** Posters, and the Search for the Next Bitcoin TM
- Source :
- Proceedings of the ACM on Human-Computer Interaction. 2:1-28
- Publication Year :
- 2018
- Publisher :
- Association for Computing Machinery (ACM), 2018.
-
Abstract
- Participants in cryptocurrency markets are in constant communication with each other about the latest coins and news releases. Do these conversations build hype through the contagiousness of excitement, help the community process information, or play some other role? Using a novel dataset from a major cryptocurrency forum, we conduct an exploratory study of the characteristics of online discussion around cryptocurrencies. Through a regression analysis, we find that coins with more information available and higher levels of technical innovation are associated with higher quality discussion. People who talk about "serious" coins tend to participate in discussion displaying signatures of collective intelligence and information processing, while people who talk about "less serious" coins tend to display signatures of hype and naïvety. Interviews with experienced forum members also confirm these quantitative findings. These results highlight the varied roles of discussion in the cryptocurrency ecosystem and suggest that discussion of serious coins may be oriented towards earnest, perhaps more accurate, attempts at discovering which coins are likely to succeed.
- Subjects :
- Online discussion
Cryptocurrency
Naivety
Computer Networks and Communications
business.industry
05 social sciences
Internet privacy
Collective intelligence
Information processing
Exploratory research
02 engineering and technology
Sensemaking
Human-Computer Interaction
020204 information systems
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Computational sociology
Sociology
050207 economics
business
Social Sciences (miscellaneous)
Subjects
Details
- ISSN :
- 25730142
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM on Human-Computer Interaction
- Accession number :
- edsair.doi...........daca3075bd34e8a4108ff229e27622cc
- Full Text :
- https://doi.org/10.1145/3274348