Publication Type
Conference Paper
Version
acceptedVersion
Publication Date
12-2025
Abstract
Meme coins are a unique type of cryptocurrency whose value is shaped by internet culture and viral trends. This study introduces a socio-technical research model to examine key factors influencing meme coin dynamics and applies it to analyze market reactions to Donald Trump’s 2024 U.S. presidential election victory and inauguration, focusing on the $TRUMP meme coin and other politics-related meme coins, known as PolitiFi. Using a mixed-methods approach, we analyze publicly available news, social media activity, and marketplace data to investigate the interaction between social engagement and technical infrastructure. Econometric analysis shows that Trump-related events triggered short-term price surges, increased market participation in PolitiFi, and had positive spillover effects on related cryptocurrencies. However, the findings suggest that PolitiFi experienced long-term declines following these events, raising concerns about its economic viability. This study contributes to the discourse on the intersection of political events, digital assets, and socio-technical systems
Keywords
meme coin, socio-technical system, politifi, trump, solana
Discipline
Numerical Analysis and Scientific Computing
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
The 14th SIGBIT Workshop on Blockchain Ecosystems and Artificial Intelligence, Bangkok, Thailand, 2025 December 14
Publisher
Palgrave Macmillan
City or Country
Nashville, TN
Citation
KE, Ping Fan and LAU, Yi Meng.
A socio-technical analysis of market reactions on meme coins: Trump’s presidential effect. (2025). The 14th SIGBIT Workshop on Blockchain Ecosystems and Artificial Intelligence, Bangkok, Thailand, 2025 December 14.
Available at: https://ink.library.smu.edu.sg/sis_research/10633
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
https://www.paperfox.ai/conference/sigbit2025/program