(2019): This paper proposed a model to estimate cryptocurrency adoption by country based on Wikipedia traffic across different language versions. It found that Bitcoin's English entry has the highest quality, while other languages like Russian and German lead in quality for specific coins like Bitcoin and Litecoin respectively.
(2021): This study investigated how Wikipedia searches for major coins like Bitcoin and Ethereum predict market volatility and "realised skewness" (investor attention-driven price pressure) the following day. Wikipedia's Internal Relationship with Bitcoin buy bitcoins wikipedia
(2019): This study published in Frontiers in Blockchain found that a small, tightly connected group of editors handles most cryptocurrency information on Wikipedia. It demonstrated that a trading strategy informed by daily Wikipedia views can outperform baseline strategies, as rising attention often precedes price drops, while decreasing interest might signal a future rise. (2019): This paper proposed a model to estimate
Several academic papers and Wikipedia -specific articles explore the relationship between Bitcoin and Wikipedia, ranging from trading strategies based on page views to using the platform as a proxy for global adoption. buy bitcoins wikipedia